http://www.worldbank.org/commodities A World Bank Quarterly Report October 2016 Commodity Markets Outlook OPEC in Historical Context Q1 Q2 Q3 Q4 A World Bank Quarterly Report OCTOBER 2016 Commodity Markets Outlook © 2016 International Bank for Reconstruction and Development / The World Bank 1818 H Street NW, Washington, DC 20433 Telephone: 202-473-1000; Internet: www.worldbank.org Some rights reserved This work is a product of the staff of The World Bank with external contributions. The findings, interpretations, and conclusions expressed in this work do not necessarily reflect the views of The World Bank, its Board of Executive Directors, or the governments they represent. The maps were produced by the Map Design Unit of The World Bank. The World Bank does not guarantee the accuracy of the data included in this work. 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Contents Acknowledgments . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . v Executive Summary. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 Special Focus: OPEC in historical context: Commodity agreements and market fundamentals . . . . . . . . . . . . . . . . 3 Commodity Market Developments and Outlook Energy. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 Agriculture. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17 Fertilizers. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21 Metals and minerals. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22 Precious metals. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24 Appendix A: Historical commodity prices and price forecasts. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25 Appendix B: Supply-Demand balances. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33 Appendix C: Description of price series. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65 Figures 1 Commodity price indexes, monthly . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 2 OPEC production, 2010 and 2016. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 F1 OPEC oil production and quotas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 F2 OPEC production, 2010 and 2016. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 F3 World oil production . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6 F4 OPEC oil production. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6 F5 Commodity price indices . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7 F6 Crude oil supply growth. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7 F7 Non-OPEC oil supply growth 2005-2015 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8 F8 U.S. rotary rigs. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8 F9 U.S. crude oil production. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8 F10 Oil prices . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8 3 Crude oil prices. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 4 World oil demand growth. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 5 U.S. crude oil production. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14 6 U.S. oil rig count and oil prices. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14 7 OPEC crude oil production . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15 8 OECD crude oil stocks. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15 9 Coal consumption. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16 10 Coal and natural gas prices. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16 11 Agriculture price indexes. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17 12 Commodity price indexes, change. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17 13 Global grain supply growth. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18 14 Global production of key edible oils. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18 15 Stock-to-use ratio estimates for maize, wheat and rice. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19 16 Global biofuels production. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19 17 Coffee prices. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20 18 Cotton and natural rubber prices . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20 19 Fertilizer prices. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21 20 Global nutrient consumption. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21 21 Metal and mineral prices. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22 22 World refined metal consumption. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22 23 World metal consumption growth. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23 24 Zinc price and LME stocks. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23 25 Precious metal prices. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24 26 Global silver production. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24 Table 1 Nominal price indexes (actual and forecasts) and forecast revisions. . . . . . . . . . . . . . . . . . . . . . . . . . 2 COMMOD I T Y M A R KETS O U TLOOK | o c t o b e r 2 0 1 6 Acknowledgments Acknowledgments This World Bank Group Report is a product of the Prospects Group in the Development Economics Vice Presidency. The report was managed by John Baffes under the general guidance of Ayhan Kose and Franziska Ohnsorge. Many people contributed to the report. John Baffes and Shane Streifel authored the Special Focus on OPEC’s decision to limit oil output. Shane Streifel authored the sections on energy, fertilizers, metals, and precious metals. John Baffes authored the section on agriculture. Xinghao Gong managed the report’s database. The design and production of the report was managed by Maria Hazel Macadangdang and Adriana Maximiliano. Carlos Arteta, Mark Felsenthal, Jongrim Ha, Raju Huidrom, Ergys Islamaj, Temel Taskin, and Dana Vorisek provided editorial comments. David Rosenblatt reviewed the report. Mark Felsenthal and Mikael Reventar managed the media relations and dissemination. The accompanying website was produced by Graeme Littler. The World Bank’s Commodity Markets Outlook is published quarterly, in January, April, July, and October. The report provides detailed market analysis for major commodity groups, including energy, agriculture, fertilizers, metals, and precious metals. A Special Focus section examines current topics and issues in commodity markets. Price forecasts to 2025 for 46 commodities are presented, together with historical price data. The report also contains production, consumption, and trade statistics for major commodities. Commodity price data updates are published separately at the beginning of each month. The report and data can be accessed at: www.worldbank.org/commodities For inquiries and correspondence, email at: [email protected] v C O M M O D I T Y M A R K E T S O U T L O O K | octo b er 2 0 1 6 E X E C U T I V E S U M M A RY Executive Summary Most commodity prices continued to rise in the third quarter from their lows in early 2016. Crude oil prices are forecast to rise to $55 per barrel in 2017 from an average of $43/bbl this year as the market continues to rebalance and OPEC is likely to limit output. Metals prices are projected to rise more sharply in 2017 than forecast in July, as a result of faster-than-expected mine closures. Agricultural commodities prices are anticipated to rise slightly in 2017 after a minimal decline this year but with wide variations in the outlook for different commodities depending on supply conditions. This issue of the Commodity Markets Outlook analyzes OPEC’s recent decision to limit output by examining earlier commodity agreements and assessing the implications of changing market forces over the past decades. It concludes that commodity agreements have limited ability to influence global prices over extended periods of time and eventually collapse, often with unintended consequences. The ability of OPEC, the only surviving commodity organization seeking to influence markets, will be tested in the presence of unconventional oil suppliers, notably the U.S. shale oil industry. Trends. Energy prices rose more than 3 percent in the third quarter of 2016 from the second quarter (Figure 1). Coal prices surged 30 percent, reflecting strong import demand and tightening supply in China following restrictions on production aimed at reducing pollution. U.S. natural gas prices jumped more than 33 percent due to strong demand for air conditioning, falling production, lower injections into storage, and increased exports to Mexico and to South America during the southern hemisphere winter. Crude oil prices were slightly lower in the quarter, averaging $44.7/bbl, as supply returned to the market, notably in Canada, after wildfires in the spring. OPEC production edged up, with most of the gains coming from Iran and Saudi Arabia. Oil prices jumped in late September, when OPEC members announced a plan to limit oil output. The details of this agreement are expected to be finalized at the group’s meeting in November. The Islamic Republic of Iran, Libya and, Nigeria are likely to be excluded from the agreement (Figure 2). 1 Commodity price indexes, monthly Outlook and risks. All main commodity price indexes are projected to decline in 2016 from the previous year, with the exception of food and precious metals, reflecting well-supplied markets (Table 1). The declines for most indexes are smaller than expected in 2 mb/d 50 US$, 2010=100 150 130 OPEC production, 2010 and 2016 Saudi Arabia Iran, Libya, Nigeria Other Gulf Other non Gulf 40 110 Agriculture 90 Metals 70 50 30 Jan-11 The Non-Energy Commodity Price Index rose marginally in the third quarter with large variations across individual commodities, mostly because of supply conditions. Metals prices increased 4 percent from the second quarter due to mine closures in a number of countries and production cuts. Precious metals prices jumped 8 percent in the third quarter due to strong investment demand following the U.S. Federal Reserve’s delay of an expected interest rate increase, although the trend has reversed on heightened expectations of a rate rise in December. The Beverage Price Index rose 4 percent, led by a 10 percent increase in coffee prices as a result of drought-related crop losses. Grains prices declined 8 percent following wheat and maize price drops of 15 percent and 10 percent, respectively, attributable to record crops. Energy Jan-12 Jan-13 Jan-14 Source: World Bank. Note: Last observation is September 2016. Jan-15 Jan-16 30 20 10 0 Sep-10 Sep-16 Source: International Energy Agency. Notes: Other Gulf is Iraq, Kuwait, Qatar, United Arab Emirates. Other non Gulf is Algeria, Angola, Ecuador, Gabon, Indonesia, República Bolivariana de Venezuela. 1 2 E X E C U T I V E S U M M A RY C O M M O D I T Y M A R K E T S O U T L O O K | O cto b er 2 0 1 6 the July, with some exceptions. Prices for most commodities are expected to rise in 2017. Energy prices are forecast to increase 24 percent in 2017 after dropping 15 percent this year. the United States and wheat in Australia and Central Asia. Upside risks to the agricultural price forecasts include worsening weather conditions in South America and East Asia and a larger-than-expected increase in energy prices, a key cost component. Risks of disruptions from the La Niña weather pattern are limited. Downside price risks include the possibility of increased agricultural subsidies, which would encourage greater supplies as well as diminished diversion of food commodities to the production of biofuels. Oil prices are expected to average $55/bbl, next year, higher than the $53/bbl forecast in July, reflecting OPEC’s intention to limit output. Upside risks to the oil price forecast include further supply disruptions among key producers and stronger-than-expected OPEC production cuts. In contrast, greater-than-expected oil output and further weakening in EMDE economic growth could lower prices. Special Focus on OPEC production in the context of commodity agreements and market fundamentals. On September 28, OPEC agreed to limit crude oil output to 32.5-33.0 million barrels per day, effectively ending two years of unrestrained production. This marked an important policy shift, especially for Saudi Arabia, the organization’s largest producer. The details of the new plan are to be worked out and announced at the group’s meeting on November 30. The Islamic Republic of Iran, Libya, and Nigeria, all OPEC members, are likely to be exempted from the production limits because of earlier production losses. The plan, if implemented, would be the first production cut since 2008. OPEC is also preparing a framework for consultations with non-OPEC producers including the Russian Federation. The Focus section concludes that commodity agreements have limited ability to influence the market and eventually collapse, often with unintended consequences. In the case of OPEC, the only surviving commodity organization seeking to influence markets, guiding global oil prices will be challenging in the presence of unconventional oil producers, notably the U.S. shale oil industry. Non-energy commodity prices are expected to rise 2 percent in 2017 after a 3 percent drop the previous year. Metals prices are forecast to rise 4 percent in 2017 after a 9 percent slide in 2016. Zinc, lead, and tin prices are projected to increase due to tightening supplies. Downside price risks for metals include a further slowdown of growth in China and higherthan-expected production, while upside risks relate to government-directed supply restraint in Asia and reluctance by producers to activate idle capacity as demand picks up. Precious metals prices are projected to decline in 2017 as benchmark interest rates rise and safe-haven buying ebbs. Although, on average, the Agricultural Price Index is expected to remain broadly stable in 2017, the outlooks for its components vary depending on supply conditions. A small increase of 1.5 percent in the Food Price Index largely reflects an anticipated 2.9 percent rebound in grains prices. This is expected to be a correction from the price decline in 2016 that resulted from larger-than-expected crops of maize in TABLE 1 Nominal price indexes (actual and forecasts) and forecast revisions Change (%) Price Indexes (2010=100) 2012 2013 2014 2015 2016f 2017f Energy 128 127 118 65 55 68 -15.1 24.0 0.8 2.0 Non-Energy3 110 102 97 82 80 82 -3.1 2.1 0.8 0.8 Agriculture 114 106 103 89 89 91 -0.1 1.4 0.6 0.5 Beverages Food 2017f1 Revision2 2016f1 2015-16 2016-17 93 83 102 94 92 91 -2.0 -0.6 2.0 1.8 124 116 107 91 92 94 1.7 1.5 1.2 1.1 Oils and meals 126 116 109 85 89 91 4.9 2.0 1.8 1.6 Grains 141 128 104 89 83 85 -6.7 2.9 -2.7 -2.5 Other food 107 104 108 100 105 105 4.9 -0.2 3.9 3.5 Raw Materials 101 95 92 83 80 82 -3.7 2.6 -1.7 -1.5 138 114 100 95 78 80 -18.0 2.0 0.0 0.0 96 91 85 67 61 63 -9.1 4.1 1.2 1.6 138 115 101 91 97 95 7.5 -2.0 0.0 0.0 Fertilizers Metals and Minerals Precious Metals3 Memorandum items Crude oil ($/bbl) Gold ($/toz) 105 104 96 51 43 55 -14.6 27.5 0.3 2.0 1,670 1,411 1,266 1,161 1,250 1,219 7.7 -2.4 0.0 0.0 Source: World Bank. Notes: (1) "f" denotes forecasts. (2) Denotes revision to the forecasts from the April 2016 report (expressed as change in index value except $/bbl for crude oil, and $/toz for gold). (3) The non-energy price index excludes precious metals. See Appendix C for definitions of prices and indexes. Figures may not match due to rounding. SPECIAL FOCUS: OPEC in historical context: Commodity agreements and market fundamentals C O M M O D I T Y M A R K E T S O U T L O O K | octo b er 2 0 1 6 SPECIAL FOCUS OPEC in historical context: Commodity agreements and market fundamentals On September 28, members of the Organization of the Petroleum Exporting Countries (OPEC) agreed to limit crude oil output to 32.5-33.0 million barrels per day, effectively ending two years of unrestrained production. This marked an important policy shift, especially for Saudi Arabia, the organization’s largest producer. The details of OPEC’s plan are to be worked out and announced at the group’s meeting on November 30. The Islamic Republic of Iran, Libya, and Nigeria, all OPEC members, are likely to be exempted from the production limits because of earlier production losses. The plan, if implemented, would be the first production cut since 2008. OPEC is also preparing a framework for consultations with non-OPEC producers. Against this background, this Special Focus section addresses the following questions: (1) What does OPEC’s new plan entail? (2) How does OPEC compare with earlier formal commodity agreements? (3) What do market forces over the past decade imply for OPEC’s ability to control prices? It concludes that formal commodity agreements have limited ability to influence the market and eventually collapse, often with unintended consequences. In the case of OPEC, the only surviving commodity organization seeking to influence markets, guiding global oil prices will be challenging in the presence of unconventional oil producers, notably U.S. shale oil. OPEC’s new plan On September 28, 2016, OPEC members (which currently account for one-third of global production) agreed to limit output to 32.5-33.0 mb/d, but details and a final decision are being deferred until a meeting on November 30 (Figure 1). Specifics of the plan are to be worked out by a highlevel committee, which is also tasked with preparing a framework for consultations with non-OPEC producers. The Russian Federation has tentatively agreed to support OPEC’s decision to limit production. The Islamic Republic of Iran, Libya, and Nigeria are likely to be given exemptions because of earlier production losses. The plan, which effectively ends two years of unrestrained production, marks an important policy shift for Saudi Arabia, OPEC’s largest producer. OPEC members must agree on a number of issues, including individual member quotas, the base period for any cuts, the timing of implementation, and at what level excluded countries would cap production. A cut to 32.5 mb/d would entail a 1.0 mb/d reduction from current output, or 0.5 mb/d if the ceiling were set at 33.0 mb/d. Should the Islamic Republic of Iran, Libya, and Nigeria raise production significantly in the coming months, larger cuts would be warranted by other producers to meet their overall targets (Figure F2). Comparison of OPEC with earlier commodity agreements1 The decision by OPEC to abandon production quotas in favor of a market-share strategy in November 2014 and its recent decision to again limit production F1 OPEC oil production and quotas F2 OPEC production, 2010 and 2016 mb/d 35 mb/d 50 Saudi Arabia Iran, Libya, Nigeria Other Gulf Other non Gulf Production 40 30 30 Quotas 20 25 10 20 1991 1994 1997 2000 2003 2006 2009 2012 2015 Sources: World Bank, International Energy Agency. Note: Last observation is September 2016. Quotas ceased after November 2014. 0 Sep-10 Sep-16 Source: International Energy Agency. Notes: Other Gulf is Iraq, Kuwait, Qatar, United Arab Emirates. Other non Gulf is Algeria, Angola, Ecuador, Gabon, Indonesia, República Bolivariana de Venezuela. 5 6 SPECIAL FOCUS C O M M O D I T Y M A R K E T S O U T L O O K | octo b er 2 0 1 6 have led to a debate about the effectiveness of OPEC managing markets. OPEC production has fluctuated significantly, especially in the 1980s, as it sought to first cut production to maintain high prices, and later abandoned that effort to regain market share (Figures F3 and F4). Efforts to manage world commodity markets to achieve price objectives have not been unique to the oil market. The historical record of such arrangements may offer insights about what lies in store for OPEC. A number of formal commodity agreements, often negotiated among producing and consuming nations to stabilize prices at levels deemed fair to both, were put in place after World War II. These arrangements covered coffee, olive oil, sugar, tin, and wheat (Swerling 1968). A renewed effort to establish commodity agreements took place after the 1970s price boom. Such accords were typically backed by the United Nations and were extended to other commodities, including cocoa and natural rubber (Gilbert 1996). Participants agreed to legally binding ways to manage markets, including export restrictions and inventory management. However, these laws proved to be the agreements’ undoing. Over the long term, price and trade restrictions imposed by some of the agreements either encouraged the emergence of competitor products, such as aluminum for tin, or the entry of new producers, as Vietnam in the case of coffee. With the exception of OPEC, all of these agreements have collapsed. ment were higher and more stable than before, new tin producers outside the agreement entered the market: Brazil, for example, increased its market share from 1 percent in the 1960s to 10 percent in the 1980s. In addition, higher tin prices under the ITA encouraged the development of a substitute, aluminum, which gained market share by capturing growing demand from beverage can producers. Between the 1950s and 2000s, global tin output grew by 65 percent while aluminum output grew twice as much. Coffee In 1962, coffee-producing countries accounting for 90 percent of global coffee output joined with almost all developed coffee-consuming countries to sign the International Coffee Agreement (ICA) with the objective of stabilizing world coffee prices through mandatory export quotas (Akiyama and Varangis 1990). Higher coffee prices encouraged the emergence of new producers. For example, before the agreement collapsed in 1989, two non-ICA members, the Union of Soviet Socialist Republics and the German Democratic Republic, provided Vietnam with technical and financial assistance to develop its coffee industry (Baffes, Lewin, and Varangis 2005). In 1970, Vietnam produced just 0.7 percent of the 59 million bags of annual global production. By the early 2000s, it had overtaken Colombia as the world’s second-largest coffee producer after Brazil. It now accounts for 20 percent of global coffee production. Tin Natural Rubber First negotiated in 1954 with the objective of maintaining tin prices within a desired range through the management of buffer stocks, the International Tin Agreement (ITA) collapsed in 1985 following several years of insufficient funds to maintain stocks (Chandrasekhar 1989). Because tin prices under the agree- Another arrangement, covering natural rubber, collapsed during the Asian financial crisis due to currency volatility of three key producers: Indonesia, Malaysia, and Thailand. A buffer stock of rubber was used to maintain prices within a desired range. The buffer stock manager was authorized to buy or sell F4 OPEC oil production F3 World oil production mb/d mb/d 60 40 50 Non-OPEC 40 OPEC Saudi Arabia Other Gulf Non Gulf 30 20 30 10 20 10 1965 1975 1985 Source: International Energy Agency. 1995 2005 2015 0 1965 1975 1985 1995 2005 2015 Source: International Energy Agency. Note: Other Gulf is Iraq, Kuwait, Qatar, United Arab Emirates. Non Gulf is Algeria, Angola, Ecuador, Gabon, Indonesia, Libya, Nigeria, and República Bolivariana de Venezuela. C O M M O D I T Y M A R K E T S O U T L O O K | octo b er 2 0 1 6 SPECIAL FOCUS rubber when its price (indexed into the domestic currencies of these three producers) dropped or exceeded a certain level (Khan 1980). Because of weak global demand (partly due to the Asian crisis), U.S. dollardenominated rubber prices declined and should have triggered production cuts. However, the currencies of the three main rubber-producing countries devalued sharply during the Asian crisis and raised the localcurrency prices of rubber, triggering a production expansion in the rubber pricing mechanism. This inconsistency eventually led to the collapse of the agreement. mand, and non-OPEC supply. Production cuts in 1998-99 during the East Asian financial crisis and 2008-09 during the deep global recession were instrumental in lifting oil prices. Overall, high oil prices during the commodity price boom stimulated new supplies, which again challenged the organization’s ability to influence the oil market. A key difference between OPEC and the earlier formal commodity agreements is that OPEC does not have contractual rules dictating whether and how to intervene in markets. Thus, the organization has endured and responded flexibly to changing circumstances. Crude oil Implications of market forces over the past decade The largest player in the global crude oil market is OPEC, which was founded in 1960 to “co-ordinate and unify petroleum policies among Member Countries, in order to secure fair and stable prices for petroleum producers; an efficient, economic and regular supply of petroleum to consuming nations; and a fair return on capital to those investing in the industry” (OPEC 2016). At present, the organization consists of 14 members.2 OPEC began to significantly affect the oil market in 1973 following its decision to impose an embargo on oil exports and the subsequent quadrupling of its official oil prices—from $2.70/bbl in September 1973 to more than $10/bbl in 1974. Following the substantial loss of Iranian oil during the 1989-90 revolution, oil prices spiked to over $40/bbl, but OPEC decided to set its official price of Saudi Light oil at $34/bbl. Saudi Arabia became the swing producer through 1985. But this role caused production to fall by two-thirds, leading it to abandon that role and regain its market share.3 Following two decades of relative stability, most commodity prices began increasing in the early 2000s, leading to the longest, most broad-based commodity price boom since the Second World War. Oil prices briefly approached $150/bbl in July 2008. The causes of the boom were numerous, and included a surge in growth by emerging markets (especially China), low investment prior to the boom (partly a result of the 2-decade long low commodity prices), and abundant financial liquidity. As global demand collapsed, oil prices halved during the global financial crisis. After the financial crisis, virtually all commodity prices rebounded, led by oil due to large production cuts by OPEC and strong emerging market demand. Commodity prices reached a new peak in early 2011 (Figure F5). However, markets then began to tilt into surplus due to weaker growth prospects for emerging markets and supply that had begun to build up. Industrial commodity prices began falling in 2011, but oil prices remained high for nearly four more years. OPEC production restraint, and outages in a number of countries—notably the Islamic Republic Over the next three decades, OPEC influenced oil prices through individual member quotas, adjusting them during the ebb and flow of oil prices, oil de- F6 Crude oil supply growth US$, Jan 2011=100 150 Oil mb/d, cummulative growth since 2010Q4 Iran 4 Libya Syria 3 Yemen United States 2 Net Changes Thousands F5 Commodity price indices 125 100 Metals 1 0 75 50 25 Jan-05 -1 Agriculture raw materials Jan-07 Jan-09 -2 Jan-11 Source: World Bank. Note: Last observation is September 2016. Jan-13 Jan-15 -3 2010Q1 2011Q1 2012Q1 2013Q1 2014Q1 2015Q1 2016Q1 Source: International Energy Agency. Note: Last observation is 2016Q3. 7 SPECIAL FOCUS C O M M O D I T Y M A R K E T S O U T L O O K | octo b er 2 0 1 6 of Iran, Libya, Nigeria, and Yemen—offset the large growth in non-OPEC supply, which came mainly from U.S. shale (Figure F6). However, global oil supply was building, not only from shale, but also from other unconventional sources including biofuels, Canadian oil sands, and from non-OPEC members such as Brazil, China, and Russia (Figure F7). By 2014, global oil supplies had begun to exceed demand by nearly 1 mb/d, led by U.S. oil production growth. OPEC members faced a decision of either cutting production and preserving high oil prices, or seeking to protect market share by allowing prices to drop. They chose the latter, and prices fell to less than $30/ bbl in January 2016.4 A new development over the two decades that altered the landscape of the energy industry has been the development of U.S. shale deposits. U.S. shale technologies—the combined use of hydraulic fracturing and horizontal drilling—were first used to develop natural gas shale deposits. Substantial growth in shale gas production led to a collapse in U.S. gas prices and eventually drilling for shale gas (Figure F8). “New” natural gas basins were developed in the U.S. northeast and elsewhere. Production has expanded to the extent that the country has begun exporting liquefied natural gas abroad, in addition to increasing pipeline exports to Mexico. Despite expanded production, the United States remains a net importer of natural gas, mainly from Canada. Spurred by shale technologies and high prices, shale oil production grew quickly and became the main source of growth in U.S. oil production (Figure F9). It now accounts for more than 5 percent of global oil production. Production from shale wells follows a much shorter cycle than conventional development. Wells deplete rapidly and are usually 70 percent F7 Non-OPEC oil supply growth 2005-2015 F8 U.S. rotary rigs United States Biofuels Russia Canada Brazil China Colombia Azerbaijan Kazakhstan Oman Thailand South Sudan Ghana Rig count 1,800 Gas rigs 1,500 1,200 900 600 Oil rigs 300 0 1 2 3 4 5 6 mb/d Source: International Energy Agency. Note: Biofuels are not included in country totals. The numbers represent cumulative additions from 2005 to 2015. F9 U.S. crude oil production Thousands 8 0 Jan-90 Jan-95 Jan-00 Jan-05 F10 Oil prices US$/bbl, deflated by U.S. CPI (2014 terms) 150 1.2 120 0.6 90 -0.6 -1.2 Jan-10 Jan-11 Jan-12 Jan-13 Jan-14 Jan-15 Jan-16 Jan-17 Source: International Energy Agency. Note: Shaded area (October 2016 to December 2018) represents IEA projections. Jan-15 Source: Baker Hughes. Note: Weekly frequency. Last observation is October 14, 2016. mb/d, monthly change year-over-year 1.8 The plunge begins 0.0 Jan-10 1985-86 price collapse Price drops 66% in 82 days 60 1965-2016 average price: $48.24/bbl 30 0 1965 2015-16 price collapse Price drops 51% in 83 days 1975 1985 Source: World Bank. Note: Last observation is September 2016. 1995 2005 2015 C O M M O D I T Y M A R K E T S O U T L O O K | octo b er 2 0 1 6 tapped in the first year—compared with just a few percent in conventional wells that can last decades. The shale industry is still relatively new and continues to make significant gains in productivity, technology, and operating practices.5 With the collapse in oil prices over the past two years, production costs have fallen significantly. Rystad Energy (2016) reports that the average shale wellhead breakeven price decreased on average by 22 percent year-over-year from 2013 to 2016. In addition, U.S. shale oil producers benefit from the fact that they are able to hedge (sell) the bulk of their production forward on futures markets and receive a predictable revenue stream. OPEC’s decision to reinstate quotas comes as the oil market adjusts its balance of stocks and supply to a period of lower prices. The organization’s decision also comes as prices are near their long term 50-year average (Figure 10). Should OPEC and other producers succeed in restraining production and lifting prices meaningfully, investment in oil production and nonOPEC supply would likely rise—especially in view of the flexible nature of shale oil production. This is likely to test OPEC’s ability to lift oil prices in the medium term. Endnotes 1. This section draws heavily from Baffes, Kose, Ohnsorge, and Stocker (2015). 2. OPEC was created at the Baghdad Conference on September 10-14, 1960, by Islamic Republic of Iran, Iraq, Kuwait, República Bolivariana de Venezuela, and Saudi Arabia. The five founding members were later joined by nine other Members: Qatar (1961), Indonesia (1962; it suspended its membership from January 2009 to December 2015, before rejoining), Libya (1962), United Arab Emirates (1967), Algeria (1969), Nigeria (1971), Ecuador (1973; it suspended its membership from December 1992 to October 2007, before rejoining), Angola (2007), and Gabon (1975; which terminated its membership in January 1995 but rejoined in July 2016). Currently OPEC’s membership consists of 14 countries. 3. Swing producer is defined as a large producer with the ability to lower and raise production to affect the level of prices. 4. The 2014-15 oil price plunge shares a number of similarities with the 1985-86 collapse. Both price collapses took place after a long period of high oil prices, in part SPECIAL FOCUS supported by OPEC. In both cases, high prices brought new oil supplies: North Sea, Gulf of Mexico, and Alaska prior to 1985 (accounting for about 9 percent of global oil supply in 1985) and Canadian oil sands, biofuels, and U.S. shale oil prior to 2014 (accounting for about 8 percent of global oil supply in 2014). In both cases the oil collapse was aided by OPEC’s actions. 5. For example, well productivity in the Bakken shale basin in North Dakota has risen from less than 300 barrels per well to 1,000 barrels per well from 2012 to 2016. Key operating improvements include shorter drilling cycles, longer laterals, multi-well drilling pads, tighter well spacing, greater proppant use, improved geo-steering, and refracting of wells. References Akiyama, T., and P. Varangis. 1990. “The Impact of the International Coffee Agreement on Producing Countries.” World Bank Economic Review, 4, 157-173. Baffes, J., A. Kose, F. Ohnsorge, and M. Stocker. 2015. “The Great Plunge in Oil Prices: Causes, Consequences, and Policy Responses.” Policy Research Note 1. The World Bank, Washington D.C. Baffes, J., B. Lewin, and P. Varangis. 2005. “Coffee: Market Setting and Policies.” In Global Agricultural Trade and the Developing Countries. Ed. M.A. Aksoy and J. Beghin. The World Bank, Washington D.C. Chandrasekhar, S. 1989. “Cartel in a Can: The Financial Collapse of the International Tin Council.” Northwestern Journal of International Law and Business, 10, 308-332. Gilbert, C. L. 1996. “International Commodity Agreements: An Obituary.” World Development, 24, 1-19. Khan, K. 1980. “The International Natural Rubber Agreement 1979.” Resources Policy, 6, 253-265. OPEC. 2015. “Brief History.” www.opec.org. Accessed on October 16, 2016. Rystad Energy. 2016. North American Shale Report, July. Swerling, B. C. 1968. “Commodity Agreements.” International Encyclopedia of Social Sciences. 9 Commodity Market Developments and Outlook Energy Agriculture Fertilizers Metals and minerals Precious metals C O M M O D I T Y M A R K E T S O U T L O O K | octo b er 2 0 1 6 Energy The World Bank Energy Price Index rose 3 percent in the third quarter of 2016 from the previous quarter. Oil prices were largely unchanged, as market rebalancing stalled. Meanwhile, coal prices surged 30 percent on government-ordered production cuts in China that raised import demand. Natural gas prices jumped 21 percent, largely due to developments in the United States: strong cooling demand due to warm weather, falling production, and higher exports—both by pipeline to Mexico, and via liquid natural gas (LNG), mainly to South America. Crude oil Crude prices in the third quarter were little changed, averaging $44.7/bbl (Figure 3). Prices were volatile, however, falling from a high of $50/bbl in early June to below $40/bbl in early August, on weak demand and recovering supply from earlier outages, notably in Canada. Prices later rebounded on reports of a possible production freeze among major oil producers, rising above $50/bbl in early October following an OPEC agreement to limit output. Disruptions in Canada, Nigeria, and elsewhere curtailed global production in the second quarter. But, as supply disruptions were resolved, production again exceeded consumption in the third quarter. OECD total oil inventories remain high, particularly in the United States, but stocks started to decline in August. U.S. crude oil inventories have fallen seasonally for the past four months, but product inventories continue to rise, in part because of slowing demand. OPEC supply continued to increase to record highs, up 1.0 mb/d over the first nine months, with higher output from the Islamic Republic of Iran, Iraq, and 3 Crude oil prices a n a ly s i s Saudi Arabia. At a meeting in late September, OPEC agreed to set a new production target of 32.5-33.0 mb/d, but the details and timing were deferred to its November meeting (Special Focus). The spread between West Texas Intermediate (WTI) and Brent spot crude oil prices narrowed significantly in September, tipping into a small premium for WTI. Declines in U.S. stocks helped boost WTI prices, while additional supplies from Libya and Nigeria tended to put downward pressures on Brent prices. Futures prices several years forward show the WTI discount to Brent widening to more than $3/bbl, as the United States is expected to remain a large oil importer, and crude exports are expected to be limited despite the removal of the export ban in late 2015. Demand While world oil demand is projected to increase this year, there has been a marked slowdown in its pace of growth. Demand expanded by 1.5 mb/d y/y (1.6 percent) year-on-year in the first quarter, but only 1.3 mb/d (1.4 percent) in the second (Figure 4). The slowdown occurred in both OECD and non-OECD regions. Demand growth is estimated to have slowed further to 0.8 mb/d (0.8 percent) in the third quarter, with all of the reduction in the OECD. Non-OECD oil demand growth began the year rising 1.4 mb/d, or 3.0 percent, in the first quarter, but slowed to around 0.9 mb/d in the second and third quarters. Much of the recent weakness was in East Asia, with China recording little growth in the third quarter due to slowing industrial use and other temporary factors, such as heavy flooding that impeded transportation. India’s demand remained robust, rising 0.3 mb/d, or 8 percent, year-to-date. World oil demand for 2016 is projected to increase by 4 World oil demand growth mb/d, quarterly change year-over-year 4 US$/bbl 70 60 OECD China Other Non-OECD 2 50 Brent 0 40 WTI 30 20 Jan-15 Apr-15 Jul-15 Oct-15 Jan-16 Apr-16 Source: Bloomberg. Note: Daily frequency. Last observation is October 18, 2016. -2 Jul-16 Oct-16 -4 2007Q1 2009Q1 2011Q1 2013Q1 2015Q1 2017Q1 Source: International Energy Agency. Note: Shaded area (2016Q3-2017Q4) represents IEA projections. 13 14 A N A LY S I S C O M M O D I T Y M A R K E T S O U T L O O K | octo b er 2 0 1 6 1.2 mb/d (1.3 percent) to an average of 96.3 mb/d. OECD oil demand is projected to rise by 0.1 mb/d, with increases in Europe offsetting declines elsewhere. Non-OECD oil demand is projected to rise by 1.1 mb/d (2.3 percent), led by increases in China and India but at the slowest pace since 2009. In 2017, global demand growth is expected to rise by 1.2 mb/d (1.3 percent), with most of the growth projected outside the OECD, and a small increase in North America. Supply Global oil production and consumption were broadly matched in the second and third quarters, compared with large surplus production of 1.2 mb/d in the first quarter, and 1.6 mb/d in 2015. Supply outages in the second quarter and continued declines in non-OPEC supply, notably in the United States, constrained production. In the third quarter, world oil supply was slightly lower compared with a year earlier, with declines in non-OPEC output nearly offset by increases in OPEC production, led by the Islamic Republic of Iran and Saudi Arabia, and biofuels. Non-OPEC supply peaked in the fourth quarter of 2015 and began falling year-on-year in the first quarter of 2016, as the large investment cutbacks over the past two years began to curtail production. Output fell by around 1.2 mb/d (2 percent) in the second and third quarters, with most of the decline concentrated in the United States and, to a lesser extent, China. There were also notable decreases in Canada (due to spring fires in northern Alberta), Colombia, Mexico, and South Sudan (due to outages). These were partly offset by gains in Brazil, Republic of Congo, and the Russian Federation. Non-OPEC supply is expected to fall a further 1.2 mb/d in the fourth quarter, and record a decline of 0.9 mb/d (2 percent) for 2016 as a whole, with nearly three-quarters of the decrease ac5 U.S. crude oil production counted for by production cuts in North America. For 2017, non-OPEC supply is projected to increase year-on-year beginning in the second quarter, for an annual rise of 0.4 mb/d. Notable gains are expected in Brazil, Canada and Kazakhstan, with small increases in Ghana, Republic of Congo, Russian Federation and other countries as past investments undertaken prior to the oil price collapse come on stream. Declines are expected mainly in China, Mexico, the North Sea, and the United States where higher-cost producers are cutting back production. U.S. oil production, which peaked at 9.7 mb/d in April 2015, fell to an estimated 8.4 mb/d in September 2016. Virtually all of the 1.3 mb/d decline over this period was in the on-shore lower 48 U.S. states, shale-oil production takes place, with output in Texas falling 0.5 mb/d. A small decline in Alaska was more than offset by a 0.1 mb/d rise in the Gulf of Mexico. U.S drilling activity has increased by over one-third since May after having plunged 80 percent from its peak in October 2014. Despite the increase of rigs drilling for oil to 432 between May and October 2016, the number of oil rigs in operations remains one-quarter of its October 2014 high of 1609 rigs (Figure 6). As a result, production from the main shale basins fell nearly 1 mb/d, according to the U.S. Energy Information Administration. The largest drops were high-cost production sites in Eagle Ford (Texas 0.6 mb/d), Bakken (North Dakota 0.3 mb/d), and Niobrara (Colorado/Nebraska 0.1 mb/d). An exception is the Permian Basin in Texas, where shale oil deposits are among the lowest-cost to access and where drilling has recovered as global oil prices stabilized. Large productivity improvements in the shale industry have supported production. Productivity in the 6 mb/d U.S. oil rig count and oil prices US$/bbl 150 8 7 6 Rig count 1,800 Oil price, WTI (LHS) 125 1,500 1,200 5 Other Lower 48 100 4 Gulf of Mexico 75 900 3 Alaska 50 600 2 25 1 0 Jan-06 Jan-08 Jan-10 Jan-12 Source: International Energy Agency. Jan-14 Jan-16 Jan-18 0 Jan-07 300 US oil rig count (RHS) Jan-09 Jan-11 Jan-13 Jan-15 Sources: Baker Hughes, Bloomberg. Note: Weekly frequency. Last observation is October 14, 2016. 0 C O M M O D I T Y M A R K E T S O U T L O O K | octo b er 2 0 1 6 Eagle Ford and Bakken basins has risen from less than 300 barrels per well in early 2012 to more than 1,100 and 800 barrels, respectively. In the Permian Basin, productivity improved five-fold from 100 barrels per well to more than 500. The industry is also reducing its backlog of drilled but uncompleted wells (DUC), from which oil can be extracted at roughly two-thirds the cost of a new well. OPEC crude oil production averaged 33.5 mb/d in the third quarter, up 0.5 mb/d from the second, and more than 0.8 mb/d higher than a year earlier. Since the end of last year, OPEC Gulf production rose by 1.0 mb/d with increases centered in the Islamic Republic of Iran and Saudi Arabia (Figure 7). Iranian output is up nearly 0.8 mb/d to 3.7 mb/d, with exports of around 2 mb/d, compared with pre-sanctions exports of 2.2 mb/d. Meanwhile non-Gulf output dropped by 0.6 mb/d with declines in Nigeria (due to pipeline attacks), and the República Bolivariana de Venezuela (due to financial and operational difficulties). In Libya, the reopening of ports helped lift production from under 0.3 mb/d in August to 0.5 mb/d in October. The national oil company is aiming for output of 0.9 mb/d by the end of 2016. Nigeria’s production is also poised to increase if a ceasefire agreement with rebel groups holds. In late September, OPEC members agreed to limit output to 32.5-33.0 mb/d, effectively ending two years of a market share strategy and unrestrained production (Special Focus). This represents an important policy shift for Saudi Arabia, its largest producer. Details are to be discussed by a high-level committee, with a final decision expected at the group’s meeting on November 30. The committee is also tasked with preparing a framework for consultations with nonOEPC producers. Russia has signaled support for OPEC’s decision to limit production, with the possi7 OPEC crude oil production a n a ly s i s bility of reducing output. The Islamic Republic of Iran, Libya and Nigeria will likely be granted exemption because of earlier production losses. If implemented, it will be the first production cut since 2008. There remain important pending decisions about individual quotas, the timing of implementation, and the level at which the Islamic Republic of Iran might freeze production. A cut to 32.5 mb/d would entail a 1.0 mb/d reduction from current output, and 0.5 mb/d if the overall ceiling were 33.0 mb/d. Part of the near-term reduction would occur in any event, as Saudi Arabia usually reduces winter production by some 0.4 mb/d due to lower power generation requirements. Should the Islamic Republic of Iran, Libya, and Nigeria raise production significantly in the next few months, cuts by other producers will need to be even larger to meet their overall targets. Price projections and risks Crude oil prices are projected to average $43/bbl in 2016, a decline of 15 percent from last year, and average $55/bbl in 2017. Consumption is expected to begin to exceed production in 2017, particularly in the second half of the year, and help reduce the large inventories. The forecast assumes OPEC will succeed in limiting global production, and that U.S. production will flatten out next year. There are significant risks to the forecast, especially given uncertainties about the implementation of OPEC’s agreement and the trajectory of inventories. Upside risks include a larger-than-expected OPEC cut, and further outages in some oil exporters (e.g., Libya, Nigeria, República Bolivariana de Venezuela). Downside risks to prices center on weak demand, earlier-than-expected return of lost production, and failure of OPEC to implement a meaningful reduction in output. 8 mb/d 15 OECD crude oil stocks Million barrels 1,300 Other Gulf 1,200 13 Monthly stocks 1,100 11 Saudi Arabia 1,000 9 Non Gulf 7 Jan-07 Jan-09 Jan-11 Source: International Energy Agency. Note: Last observation is September 2016. Jan-13 Jan-15 900 800 Jan-07 5-year average Jan-09 Jan-11 Jan-13 Jan-15 Source: International Energy Agency. Note: Previous 5-year average for each month. Last observation is August 2016. 15 16 A N A LY S I S C O M M O D I T Y M A R K E T S O U T L O O K | octo b er 2 0 1 6 Coal Natural gas Thermal coal prices surged 30 percent in the third quarter, reflecting strong demand and tightening supply in China due to government restrictions on production and adverse weather conditions, which induces floodings. China’s production has fallen sharply since the National Development and Reform Commission (NDRC) in April ordered coal mines to produce on a 276-day basis, instead of the previous 330days. The NDRC’s goal is to reduce coal capacity by 16 percent. Consequently, stocks in China have declined and import demand has risen. Seaborne supplies have been limited due to constraints in Indonesia and elsewhere, and suppliers will need to be assured of sustained higher prices before responding with larger investment, given coal’s unfavorable demand prospects going forward. Natural gas prices jumped 21 percent in the third quarter, led by a one-third surge in U.S. prices to $2.85/mmbtu (Figure 10). U.S. gas demand exceeded production this summer, resulting in below-average injections into storage. Warm weather that extended into September boosted cooling demand and gas-fired power generation. However, China’s NDRC deemed the recent 30 percent price jump to be too high, and in September it allowed some mines to temporarily raise output in the fourth quarter on the 330-day working rule. It will also relax a policy for some new mines to commence operation before closure of old capacity. However it reaffirmed its intention to maintain the 276-day rule going forward. Although higher prices improved the financial condition of China’s coal companies, the government is also concerned that high prices may damage supply-side reform and provide an incentive to restart idled capacity. Coal prices are expected to average $58/ton in 2016, similar to 2015, and $55/ton in 2017, as supply additions and weak demand reduce prices during the year. China’s coal policy will be key, given that the country consumes half of the world’s coal output (Figure 9) and coal accounts for nearly two-thirds of the country’s energy consumption. Coal consumption 9 On the supply side, U.S. gas output has declined yearon-year since March, and exports have risen—both pipeline shipments to Mexico, and liquefied natural gas (LNG) cargoes mainly to South America during its winter season. The price of gas delivered to Japan rose 7 percent to $6.5/mmbtu. Spot prices in Asia also rose due to increased import demand to secure supplies for winter needs. European gas prices rose 7 percent to $4.4/ mmbtu, reflecting stronger demand in the power sector and some supply tightening (including a government decision to reduce production from October in Netherland’s Groningen field—Europe’s largest) heading into winter. In the United Kingdom, spot prices jumped in September amid low storage levels. The low levels stem from the halting of operations in summer at the Rough offshore field, which accounts for as much as 70 percent of the country’s gas storage capacity. Natural gas prices are projected to fall 31 percent in 2017, led by large declines in Europe (-39 percent to $4.4/mmbtu) and Japan (-35 percent to $6.7/mmbtu) as production cutbacks are resolved and demand remains subdued. Natural gas prices in the United States are expected to decline 4 percent to $2.5/ mmbtu in 2017, mostly reflecting ample supply conditions. 10 Coal and natural gas prices Million tons of oil equivalent 2,000 US$/mmbtu 20 Natural Gas (Japan) China 15 1,500 OECD 10 1,000 Other 500 Natural Gas (U.S.) Natural Gas (Europe) 5 FSU 0 1970 1980 1990 2000 2010 Source: BP Statistical Review of World Energy. Notes: Last observation is 2015. FSU (former Soviet Union) to 1984; CIS (Commonwealth of Independent States) thereafter. 0 Jan-00 Coal (Australia) Jan-03 Jan-06 Jan-09 Source: World Bank. Note: Last observation is September 2016. Jan-12 Jan-15 C O M M O D I T Y M A R K E T S O U T L O O K | octo b er 2 0 1 6 a n a ly s i s Agriculture Food Although the agricultural price index remained virtually unchanged in the third quarter, components of the index varied considerably depending largely on their respective supply and demand conditions (Figure 11). Grain prices declined more than 9 percent due to larger-than-expected crops of wheat in Australia and Central Asia and of maize in the United States. Beverage prices, on the other hand, gained 4 percent in response to a surge in coffee prices. Grain prices declined 9 percent in the third quarter of 2016. Most of the decline took place in the latter part of the quarter, reflecting news of bumper crops for maize in the United States and wheat in Australia and Central Asia. Grain prices are nearly 25 percent lower than their early 2011 peaks. Agricultural prices are expected to recover modestly in 2017, mostly in response to higher projected energy prices, with some exceptions. Grain prices are projected to increase by 3 percent next year, a slightly larger increase than projected in July, and oils and meals prices by 2 percent, on top of the 5 percent rise this year. Beverage prices are forecast to decline marginally in 2017. Raw materials are expected to gain 3 percent after dropping a projected 4 percent in 2016. Upside risks for the 2016 forecasts is an intensification of La Niña—a cooling of the Equatorial Pacific Ocean that typically follows El Niño. However, even if La Niña materializes, its impact is expected to be limited. The main upside risk over the longer term is increased government use of agricultural commodity support policies. Price risks also stem from energy prices, since agriculture is energy intensive, and biofuel policies (see the Special Focus section on how OPEC could affect energy policies and the July Commodity Markets Outlook on the links between energy and agricultural prices). Over the course of the next five years, prices of grains, meals and oils, and raw materials are projected to increase by a little more than 10 percent each, considerably less than the post2011 declines (Figure 12). 11 Agriculture price indexes The October 2016 assessments for the 2016-17 season point to a favorable crop. Global production of wheat is expected to reach a new record, at 745 million metric tons (mmt), according to the U.S. Department of Agriculture (USDA). Overall, conditions for the global wheat crop are favorable in most key producing and exporting countries, including Argentina, Australia, the European Union, the Russian Federation, and the United States. Minor weather problems (e.g., wet conditions in Western Canada and dry soil in Ukraine) are unlikely to alter current wheat production. As a result of the favorable crop conditions, the stock-to-use ratio (a measure of the abundance of supplies relative to demand) is anticipated to reach 34 percent, marginally higher than last season’s ratio of 33.8 percent, and a 17-year high. Trade volume is also projected to increase on stronger import demand in the European Union and Thailand. Production of maize is projected to increase 7 percent in 2016-17, reflecting good crop conditions in the United States, the world’s top maize supplier, as well as the European Union and Mexico. Some weatherrelated problems in key maize producers (notably Canada and China) do not appear severe enough to change the global outlook at this stage. Increased global maize production, however, will be accompanied by a 3 percent increase in consumption, implying that the stock-to-use ratio for maize at the end of the season will remain at 21.5 percent, the same as in 12 Commodity price indexes change Percent 20 US$ indexes, 2010=100 140 2011-2016 2016-2021 10 Food 0 120 -10 Raw materials 100 -20 -30 80 Beverages -40 -50 60 Jan-07 Jan-09 Jan-11 Source: World Bank. Note: Last observation is September 2016. Jan-13 Jan-15 Beverages Oils and meals Grains Source: World Bank. Note: Price changes are based on annual averages. Other food Raw materials 17 18 A N A LY S I S C O M M O D I T Y M A R K E T S O U T L O O K | octo b er 2 0 1 6 2015-16. The volume of maize traded is not expected to change much in 2016-17. the third largest annual increase of the past two decades. Rice production is projected to increase 4 percent in 2016-17, driven by production increases in Asia— particularly China, India, Pakistan, and Thailand. The expected uptick follows last year’s poor crop due to an El Niño-related shortfall in some producing countries in Asia, especially Thailand, where rice output declined by approximately 16 percent from 201415 to 2015-16 seasons. Despite increased production, the stocks-to-use ratio of rice is envisage to rise marginally, due to a 3 percent boost in global consumption. Trade volume in rice is projected to change little as higher exports by India will be offset by reduction in Thailand and Vietnam. The oilseed supply outlook during the current season (October 2016 to September 2017) is also healthy, with global supplies for the 10 major oilseeds projected to reach 701.1 mmt, 34 mmt higher than the previous season. Most of the increase in supplies is projected to come from a robust soybean crop, expected to reach 53.7 mmt in 2016-17, up from last season’s 51.7 mmt. According to the October 2016 assessment by the USDA, global supplies (i.e., beginning stocks plus production) of wheat, maize, and rice combined are projected to reach 2,819 mmt during the 2016-17 season, 3 percent higher than last season’s record supplies. If projections materialize, 2016-17 will be the fourth consecutive surplus crop year (Figure 13). Supply conditions in most food commodity markets for 2016-17 crop season are adequate. In the case of grains, for example, the stock-to-use ratios for the current season are projected higher (rice) or similar (maize and wheat) to the 2014-15 season. More importantly, these ratios are much higher than their 10year historical average (Figure 15). In view of the adequately supply conditions, together with stable energy and fertilizer prices, the World Bank’s food commodity price index is expected to advance only marginally in 2016, with large dispersion among various prices (an increase in oils and meals and other food items and decline in grains). A modest gain (slightly less than 2 percent) is expected in 2017 as well, to be supported by similar gains in both oils and meals and grain prices. The World Bank’s oil and meal price index declined marginally in the third quarter but stood 12 percent higher than a year ago. A 2 percent gain in palm oil price (due to lower output in Malaysia and Indonesia) was balanced by proportional decline in the price of soybeans. Risks This season’s outlook for edible oils remains favorable (Figure 14). After last season’s diminished output due to the El Niño-related shortfall in palm oil production—only the second shortfall during the past two decades, both related to El Niño—global production of the eight most consumed oils during 2016-17 is expected to rise 4 percent to reach 183.2 mmt. This is Energy prices affect most agricultural commodities prices directly through fuel and other energy costs and indirectly through various chemicals and fertilizers, 13 Global grain supply growth Percent 8 Chief among the risks to the forecast for agricultural prices are the evolution of energy prices, weather patterns, trade policies aimed at supporting farmgate prices, and biofuel policies. 14 Global production of key edible oils Million metric tons, growth year-over-year 6 8 4 6 2 4 0 2 -2 0 -4 1996 1998 2000 2002 2004 2006 2008 2010 2012 2014 2016 Source: U.S. Department of Agriculture. Notes: Grains include maize, wheat, and rice. Data is year-to-year change. Palm oil Soybean oil Rapeseed oil Others 10 -2 1995 1998 2001 2004 2007 Source: U.S. Department of Agriculture. Note: Data is based on USDA’s October 2016 update. 2010 2013 2016 C O M M O D I T Y M A R K E T S O U T L O O K | octo b er 2 0 1 6 a n a ly s i s some of which are made directly from natural gas. A key reason for the recent decline in agricultural prices has been the reduction in energy costs. Oil prices are expected to rise to $55/bbl in 2017 from an average of $43/bbl in 2016. Fertilizer prices are also projected to rise slightly in 2017. These projections imply a relatively small upside price risk to food commodities prices. However, a greater-than-expected rise in energy prices would put upward pressure on food prices. Weather risks to the agricultural price forecast appear muted. An October U.S. National Oceanic and Atmospheric Administration update put the chance of La Niña, the successor of last year’s El Niño, at about 70 percent during the Northern Hemisphere fall season of 2016, with a 55 percent probability of persisting during the winter of 2016-17. Typically through, the impact of even a strong La Niña on commodity markets is much less than El Niño. And while last year’s El Niño negatively affected the production of a few commodities in the Southern Hemisphere, including rice and palm oil, it did not disrupt global food markets. This suggests that La Niña may have local impacts but is unlikely to affect global markets. Two policy challenges have surfaced in the current weak commodity price environment. One is that governments are increasingly shifting from policies aimed at reducing consumer prices to those supporting higher farmgate prices. Indonesia, for instance, has set reference prices for food commodities including rice, maize, and soybeans for the next four months. For each item, a minimum price was set to protect farmers from price declines along with a ceiling to protect consumers from large price increases. Similarly, other countries have announced support measures, including a duty on wheat and a minimum price on rice in India, an import duty on wheat in South Africa, and 15 Stock-to-use ratios Percent 26 24 2015-16 actual 2006-07 to 2016-17 average Percent 38 36 18 30 16 28 MAY JUN JUL AUG SEP OCT 32 MAY JUN JUL AUG SEP OCT 20 MAY JUN JUL AUG SEP OCT 34 Rice (LHS) The second policy challenge relates to China’s decision to end cotton and maize stockholding programs in 20015 and 2016. China’s stockpiling mechanisms are expected to be replaced by less price-distortionary programs, which are anticipated to resemble programs introduced in the past by the European Union, Mexico, the United States, and others. The policy shift in China is important because the country holds a disproportionally large amount of stocks compared to the rest of the world. Also, it comes as commodity markets are well supplied, with stock-to-use ratios well above the 10-year historical average (Figure 15). Any destocking action by China, even though it is intended towards a less price-distortionary program, is likely to depress world prices. Finally, the agricultural price outlook assumes that biofuels will continue to be a source of demand for food commodities. Biofuels, which currently account for nearly 3 percent of global arable land and 1.5 mb/d (1.6 percent) of global liquid energy consumption, come principally from three major sources: maize-based ethanol from the United States, sugarcane-based ethanol from Brazil, and edible oil-based biodiesel from Europe (Figure 16). The role of biofuels is expected to be less important in the long run, as policymakers acknowledge the limited benefits of environmental and energy independence from biofuels policies. Reflecting that shift, biofuel production grew only marginally during 2014-25 after growing 10 percent annually over the prior 15 years. 16 Global biofuels production 22 Maize (LHS) subsidies for machinery and improved access to input credit in Nigeria. In contrast, agricultural support for Organisation for Economic Co-operation and Development (OECD) countries as a whole has declined by roughly 50 percent over the past three decades and now accounts of 17 percent of gross farm receipts. Wheat (RHS) Source: U.S. Department of Agriculture. Note: Bars denote USDA stock-to-use projections for the 2016-17 crop year. Million barrels per day of oil equivalent 1.6 United States Brazil European Union 1.2 Others 0.8 0.4 0.0 1990 1993 1996 1999 2002 2005 2008 2011 2014 Sources: BP Statistical Review of World Energy and World Bank. Note: Last observation is 2016. 19 20 A N A LY S I S C O M M O D I T Y M A R K E T S O U T L O O K | octo b er 2 0 1 6 Beverages Agricultural raw materials The World Bank’s beverage price index rose nearly 4 percent in the third quarter of 2016, driven by strong gains in coffee (arabica and robusta rose 9 and 12 percent, respectively) and tea (up 6 percent) but balanced by a 4 percent drop in cocoa prices. The strength in coffee prices (Figure 17), which reached a two-year high in October, reflects a significant drought-related output decline in Brazil and Vietnam, the two largest global suppliers of arabica and robusta, respectively. The arabica surplus was smaller than expected, while the robusta market remains in deficit resulting in an estimated 2 percent increase in arabica prices and a 2 percent drop in robusta prices in 2016. Easing supply constraints into next year are expected to leave coffee prices little changed in 2017. The World Bank’s raw materials price index declined 1 percent in the second quarter of 2016. Underlying this, the fall in timber and natural rubber prices (down 5 percent and 2 percent, respectively) was nearly offset by an increase in cotton prices (up 12 percent). The raw materials index is down 3 percent from a year earlier and is almost 40 percent lower than its early 2011 peak. This decline is similar to the other two industrial commodity price indexes (metals and energy) and reflects weak economic activity of the EMDEs and a scaling back in the large investments that flowed to the sectors during the post-2005 price boom years. Cocoa prices declined 4 percent in the third quarter and are 8 percent lower than a year ago. The weakening in of cocoa prices reflects expectations of a significant surplus in the 2016-17 crop season, which is in addition to a 0.3 mmt surplus in the current season as West African production recovers and Latin America output expands. Next season’s global production is expected to increase by more than 10 percent, resulting in a stock-to-use ratio of 38 percent, up from last season’s 33 percent. With the cocoa market well supplied, prices are expected to decline 2 percent in 2017. Global tea prices gained 6 percent in the third quarter with prices up 11 percent (Colombo auction), 5 percent (Mombasa auction), and 2 percent (Kolkata auction). The gain in tea prices reflects robust demand and, to a lesser extent, lower-than-expected supplies due to crop losses in Kenya, the world’s largest tea exporter. Tea prices are, however, expected to decline 4 percent in 2016 and gain 2 percent in 2017 due to the market’s expected tightness next season. 17 Coffee prices Natural rubber prices declined 2.3 percent in the third quarter, a small downward correction following the large rally of 22 percent during the previous quarter. Relative price stability in the third quarter reflects some supply shortages from Thailand owing to unseasonal rains, balanced by increased production elsewhere in East Asia, and large stocks in Indonesia. Demand, on the other hand, weakened following falling tire production in China. Natural rubber prices are expected to average $1.50/kg this year, down from last year’s $1.57/kg, but are projected to gain as much next year. 18 Cotton and natural rubber prices US$/kg US$/kg 2.3 5.0 2.1 4.5 1.9 Cotton prices rose to near $1.80/kg earlier in the quarter, a 26-month high (Figure 18). This strength reflects a drop in global production in 2015-16 to 21.1 mmt, a decline of 7 percent from 2014-15. World cotton production is expected to change little next season as gains in productivity offset reductions in allocated land. Despite the recent rally in cotton prices, the sector is still mired in unusually high stocks, with China holding more than half of those stocks. Cotton prices are expected to average $1.66/kg in 2016 and are projected to rise 4 percent next year. Robusta (LHS) US$/kg 1.8 4.0 1.4 1.7 3.5 Arabica (RHS) 1.5 1.3 Jan-15 May-15 Sep-15 Natural rubber 1.6 3.0 Jan-16 May-16 Source: Bloomberg. Note: Daily frequency. Last observation is October 18, 2016. Sep-16 2.5 Cotton 1.2 1.0 Jan-15 May-15 Sep-15 Jan-16 May-16 Source: Bloomberg. Note: Daily frequency. Last observation is October 18, 2016. Sep-16 C O M M O D I T Y M A R K E T S O U T L O O K | octo b er 2 0 1 6 Fertilizers Fertilizer prices fell 7 percent in the third quarter of 2016 (Figure 19), down for a seventh consecutive quarter and nearly 75 percent below their 2008 highs. Excess supply, high stocks, and weak global demand for imports contributing to the continued weakness. Potash (potassium chloride) prices led the decline by dropping 16 percent, with urea (nitrogen) down 8 percent and DAP falling 3 percent. Demand weakness continues to stem from poor farmer profitability, low crop prices, and weak currencies of key importing countries. Despite cuts to production, the excess supply remains considerable due to falling costs, low feedstock prices, and new low-cost capacity. Potash prices plunged 16 percent owing to weak demand, high stocks, and ample supply. Production has been curtailed by a number of producers to help stem the oversupply. Demand has been weak, in part because farmers can defer application without a significant loss to yield and quality, unlike nitrogen application. New contracts signed with India and China in June/July following sharply lower prices are expected to dampen the downward trend, but global demand is due to contract nevertheless this year. The market is expected to remain over-supplied with new capacity coming online over the next couple of years. This includes less-expensive brownfield expansions in several countries and new greenfield projects concentrated in Canada and the Russian Federation/Belarus region. Urea prices dropped 8 percent in July, reaching the lowest level in 12 years before rising in August/September following strong demand in Brazil and supply outages. Urea fertilizers account for more than twofifths of total global nutrient consumption. Its demand profile is more stable than other nutrients because it is typically applied every year at stable rates. 19 Fertilizer prices US$/mt 1,200 a n a ly s i s The market continues to be impacted by new capacity and low input prices (natural gas globally, and coal in China), although the latter rose somewhat during the quarter following supply tightness. The market is expected to remain oversupplied and capacity is expected to grow in a number of countries, including the United States, where imports are expected to contract sharply and further bloat seaborne supply. As for phosphate, DAP prices fell by 3 percent and TSP by less than 1 percent due to oversupply and weak demand in India, which continued to weigh on these markets. Although demand has been strong in South America this year, India’ imports for the current fertilizer year (which began in April) are down by a quarter. The reasons include high stocks, weakerthan-expected monsoon, rising domestic production, and government policy delays on nutrient subsidies and maximum retail prices. Markets are expected to remain oversupplied, with new capacity expected from Morocco in December and Saudi Arabia in 2017. Fertilizer prices are expected to decline by 22 percent in 2016 due to weak demand, high stocks, and rising supply capacity. Nutrient application, which has been on a rising trend (Figure 20), remains constrained due to low farmers’ profitability. But there has been a modest increase in crop prices which, along with depreciating currencies of some key exporters, may provide some market relief. Prices are generally expected to increase moderately over the medium term due to expected growth in demand and higher energy costs. Risks to the forecast are skewed to the downside on weak demand and expected increases in new production capacity. On the upside, higher agriculture prices or currency appreciation could boost fertilizer demand and, hence, prices. 20 Global nutrient consumption Million metric tons DAP 200 1,000 Nitrogen Phosphorus Potassium 160 Potassium chloride 800 120 600 80 400 200 0 Jan-07 40 Urea Jan-09 Jan-11 Source: World Bank. Note: Last observation is September 2016. Jan-13 Jan-15 0 2004-05 2006-07 2008-09 2010-11 2012-13 2014-15 Source: Agrium Fact Book, International Fertilizer Industry Association. 21 22 A N A LY S I S C O M M O D I T Y M A R K E T S O U T L O O K | octo b er 2 0 1 6 Metals and minerals Metals prices rose by 4 percent in the third quarter, the second consecutive quarterly gain (Figure 21). Prices continued to rebound from first-quarter lows on supply constraints, rising demand, and falling stocks. Iron ore, nickel, tin, and zinc have risen by more than 20 percent over the past two quarters on various supply shortfalls, while the two largest consumed metals—aluminum and copper—have seen more modest gains following ample supply. Zinc prices have recorded the strongest gains this year, up 50 percent from January to September, due to ongoing supply tightness from mine closures and voluntary production cuts, amid strong steel demand. The impact from mine closures and production cuts continued to propel zinc prices higher in the third quarter, while the Philippine government’s possible suspension of mines for environmental violations boosted nickel prices. There are also reports that Indonesia may relax an ore export ban planned for January 2017 for such metals as copper, iron ore, lead, and zinc. The objective is to give companies more time to build value-added domestic processing capacity—the major intent of the law. An ore export ban in January 2014 continues to impact global supply and export flows for nickel and bauxite. China’s policy efforts to boost the commodity-intensive infrastructure and construction sectors has been a key driver of demand this year. Its share of world metal consumption rose above 50 percent in 2015 (Figure 22), and the country accounted for the majority of global growth over the past 15 years (Figure 23). However the transition to a consumption-led economy, along with industrial sector reform and environmental concerns, is expected to slow demand growth for raw materials. 21 Metal and mineral prices Individual Metal Trends Zinc prices soared 17 percent due to tightening in the zinc concentrate market. Behind the tightening are large mine closures in recent years due to exhaustion (Australia, Canada, Ireland) and price-driven production cuts by Glencore (Australia, Peru, Kazakhstan) and Nyrstar (Tennessee). The latter will restart in the first quarter of 2017. London Metal Exchange (LME) stocks are steady (Figure 24) on subdued refined metal imports into China; there is an unknown amount of inventory off-exchange, particularly in China. Demand for zinc to galvanize steel has increased, which has helped drive the zinc market into deficit. Two large mine projects, Gamsberg and Dugald River, are planned for 2017/18. Supply could rise from numerous small mines in China—although the government wants to curtail polluting and small-scale mining. Idled capacity could also be brought back on line. Nickel prices surged 16 percent on strong stainless steel demand and potential loss of Philippines ore output due to environmental mine audits. In late September, the government recommended suspending 55 percent of the country’s nickel production, or more than 10 percent of global supply. Companies have seven days to respond, and a final decision is expected by end October. Nearly all of Philippine exports are shipped to China to feed its nickel pig iron (NPI) production. The nickel market had already moved into deficit with falling production output in the Philippines due to depletion, and declining NPI production in China. Meanwhile, Indonesia intends to revisit its January 2014 ore export ban (designed to encourage value-added domestic processing capacity), and may allow companies to export ore that are in the process of constructing smelter/refining operations. Inventories remain high, but key drivers will be policy developments in the Philippines and Indonesia. 22 World refined metal consumption US$ indexes, 2010=100 140 Million metric tons 5 120 4 Base metals 100 3 80 2 60 Iron ore 40 20 Jan-07 China Jan-09 Jan-11 Source: World Bank. Note: Last observation is September 2016. Jan-13 Jan-15 1 OECD Other non-OECD 0 Jan-95 Jan-98 Jan-01 Jan-04 Jan-07 Jan-10 Jan-13 Jan-16 Source: World Bureau of Metal Statistics. Note: Last observation is July 2016. C O M M O D I T Y M A R K E T S O U T L O O K | octo b er 2 0 1 6 Tin prices jumped 10 percent on strong demand, falling stocks, and supply constraints. China’s refined production fell during the summer due to government-enforced environmental shutdowns, with some closures continuing into September. In addition, production in Indonesia, the world’s largest exporter of tin, has declined because of price-related closures earlier in the year, and as the government limits export quotas to deal with illegal mining and reserve depletion. Shipments from Myanmar continue to help fill the gap, with output doubling this year, although some of the higher exports may be from stocks. While supply growth remains constrained near term, new supplies are expected from Africa, Australia, and Brazil, and higher prices could reactivate idled capacity. Lead prices rose 9 percent in the quarter due to strong seasonal demand for batteries and reduced supply from large zinc mine closures; lead is often a by-product of zinc ore mining. About 60 percent of lead supply is from secondary sources, recycled batteries (40 percent) and scrap (20 percent), making lead less vulnerable to mine closures. Lead faces demand threats from a maturing e-bike sector in China and greater penetration of alternate, cleaner, and more efficient battery technologies. Partly offsetting this threat is the increasing demand for stop/start vehicles, which have batteries containing 25 percent more lead than conventional units. Iron ore prices increased 5 percent, up for the second straight quarter, on supply reductions, low stocks, and strong steel demand in China for infrastructure and construction. Iron ore supply is building and steel demand slowing, which is expected to lead to lower iron ore prices going forward. New low-cost capacity is expected over the next 2-3 years, which will pressure high-cost capacity to close. A key uncertainty is the level of steel demand and production in China. 23 World metal consumption growth Million metric tons, change year-over-year 12 OECD Other non-OECD China 8 4 0 Aluminum prices rose 3 percent in the quarter on falling LME inventories, strong demand, and production cuts in China. The country closed high-cost capacity this year, and has limited restarts and the commissioning of new capacity. However, the global market is expected to remain oversupplied, as new capacity is expected to ramp up in China and elsewhere. Further closures of high-cost capacity are required to balance the market and reduce the large inventory overhang. Copper prices rose 1 percent, despite rising inventories. Strong demand from China’s construction sector and the power grid provided support. However, the market is expected to remain oversupplied as new capacity comes online in the next 2-3 years. Price projections and risks Metals prices are projected to decline by 9 percent in 2016 due to surplus capacity in most markets. Despite a rebound in prices from January lows, average prices will be lower than last year. The largest declines are for nickel, down 22 percent, due to high stocks, and copper (down 15 percent) on continued excess supply. Moderate decreases are projected for iron ore and aluminum. These are expected to be partly offset by moderate gains in zinc and tin as markets tighten on supply constraints. In 2017, metals prices are projected to increase by 4 percent as most markets continue to rebalance. The largest gain is for zinc, which is projected to rise more than 20 percent on continued supply tightening from large mine closures. Downside risks to the forecast include slower demand in China and higher-than-expected global production, including restart of idled capacity. Upside risks include stronger global demand, further closure of high-cost capacity, greater environmental constraints, and policy action that could limit supply. 24 Zinc price and LME stocks US$/mt 5,000 Thousand metric tons 1,250 LME stocks (RHS) 4,000 1,000 3,000 750 2,000 500 Zinc price (LHS) -4 -8 a n a ly s i s 1,000 1996 1998 2000 2002 2004 2006 2008 2010 2012 2014 Source: World Bureau of Metal Statistics. 0 Jan-07 250 Jan-09 Jan-11 Jan-13 Jan-15 Source: Bloomberg. Note: Daily frequency. Last observation is October 18, 2016. 0 23 24 A N A LY S I S C O M M O D I T Y M A R K E T S O U T L O O K | octo b er 2 0 1 6 Precious metals Precious metals prices rose 8 percent in the third quarter on strong investment demand and safe-haven buying, amid continued low interest rate policies (Figure 25). This marked the third straight quarterly gain, placing the index up more than 20 percent this year. Silver led the way, surging 16 percent, on strong investor and industrial demand, followed by platinum, up 8 percent, on South African rand appreciation and tightening physical supply. Gold prices lagged these increases, but nevertheless rose 6 percent to average $1,335/toz. The investor-driven gains were partly the result of tepid U.S. economic data and the U.S. Federal Reserve decision to delay raising policy interest rates. However, prices started to slip in late September and fell sharply in early October as investors responded to news that the European Central Bank may taper their bond-buying program, and on growing expectations that the U.S. Federal Reserve will raise rates in December. Silver prices surged 16 percent on strong investment demand, with record flows into exchange-traded funds. The gold/silver price ratio fell from a 23-year high of more than 80 in March to 67 in September. (The average ratio since 1985 is 66.) Physical demand has been boosted by strong photovoltaic production in China, but consumer silver consumption has been weak in China and India. Mine supply continues to rise, but lower by-product output from declining lead/zinc production may limit growth (Figure 26). Platinum prices jumped 8 percent in the quarter largely due to appreciation of the South African rand. Platinum is linked to the value of the rand, as more than 70 percent of the world’s platinum is produced in South Africa. The country’s mine output edged lower due to increasing safety-related stoppages this 25 Precious metal prices US$/toz 2,100 35 Gold prices increased 6 percent in the quarter, reaching a three-year monthly high of $1,340/toz in August. The gains were driven by record investor demand via exchange-traded funds and the fallout from the Brexit vote. However, prices fell sharply in early October on comments by the ECB that it may taper its bond buying program, and by the U.S. Federal Reserve that the economy is sound enough to absorb a rate increase—now expected in December. Rising interest rates typically have negative implications for gold prices, as investors seek yield-bearing assets. Physical gold demand has been very weak this year, and fell in the two largest consuming countries—India and China. Jewelry demand in India should improve in the fourth quarter during the festival and wedding seasons. Precious metals prices are projected to rise 7 percent in 2016, mainly due to stronger investment demand. Silver and gold prices are expected to rise 8 percent in 2016, but decline going forward on expectations of U.S. monetary policy tightening and a stronger dollar. Physical demand for gold is expected to recover and remain robust in India and China, while mine production is expected to expand. Platinum prices are projected to decline 5 percent on a continued large stock overhang. Downside risks to the forecast include stronger-than-expected monetary tightening, dollar strengthening, and weaker demand. Upside risks include rising inflation, macro-economic concerns, adverse geopolitical events, and stronger physical demand from consumers, central banks and investors. 26 Global silver production US$/toz 45 Platinum (RHS) year. However, wage negotiations in South Africa are expected to be smoother than in 2014 when a fivemonth strike caused large disruptions in the industry. Auto-catalyst demand has been strong in Europe and China. Unlike other precious metals, however, investment demand has been weak. Gold (RHS) 1,800 Thousand metric tons 300 Americas 250 Asia Europe Africa Oceania 200 1,500 150 25 1,200 Silver (LHS) 15 5 Jan-07 Jan-09 Jan-11 Source: World Bank. Note: Last observation is September 2016. 900 Jan-13 Jan-15 600 100 50 0 Jan-95 Jan-00 Jan-05 Source: World Bureau of Metal Statistics. Jan-10 Jan-15 Appendix A Historical commodity prices Price forecasts C O M M O D I T Y M A R K E T S O U T L O O K | octo b er 2 0 1 6 27 APPENDIX A TABLE A.1 Commodity prices Commodity Energy Coal, Australia Coal, Colombia Coal, South Africa Crude oil, average Crude oil, Brent Crude oil, Dubai Crude oil, WTI Natural gas, Index Natural gas, Europe Natural gas, US Natural gas, Japan Unit $/mt $/mt $/mt $/bbl $/bbl $/bbl $/bbl 2010=100 $/mmbtu $/mmbtu $/mmbtu * * * * * * * 2014 2015 Q3 2015 Q4 2015 Q1 2016 Q2 2016 Q3 2016 Jul 2016 Aug 2016 Sep 2016 70.1 65.9 72.3 96.2 98.9 96.7 93.1 111.7 10.05 4.37 16.04 57.5 52.5 57.0 50.8 52.4 51.2 48.7 73.3 7.26 2.61 10.40 57.5 50.4 54.3 48.8 50.0 49.9 46.4 72.2 6.86 2.75 9.23 52.3 48.0 51.1 42.2 43.4 41.2 42.0 61.4 6.26 2.11 8.94 50.9 42.7 51.5 32.7 34.4 30.6 33.2 52.2 4.84 1.98 7.70 51.9 44.8 54.8 44.8 46.0 42.9 45.5 49.5 4.10 2.13 6.08 67.5 57.7 65.3 44.7 45.8 43.4 44.9 59.9 4.40 2.85 6.51 62.3 54.2 62.5 44.1 45.1 42.6 44.7 59.6 4.51 2.79 6.32 67.4 57.9 66.0 44.9 46.1 43.7 44.8 59.6 4.47 2.79 6.60 72.9 61.0 67.4 45.0 46.2 43.7 45.2 60.5 4.21 2.97 6.60 3.06 4.42 2.22 2.72 3.54 2.58 2.05 3.14 3.53 1.94 2.71 2.96 2.42 2.74 3.25 3.36 1.87 2.85 2.83 2.78 2.95 3.30 3.31 1.79 2.76 2.85 2.52 2.91 2.98 3.31 1.65 2.36 2.82 1.89 2.38 3.10 3.49 1.84 2.57 2.98 2.59 2.14 2.99 3.79 2.05 2.72 3.29 2.64 2.24 3.05 3.79 2.00 2.73 3.10 2.80 2.31 3.03 3.69 2.02 2.69 3.27 2.63 2.18 2.89 3.89 2.13 2.74 3.52 2.49 2.22 1,280 854 1,709 1,296 1,313 821 1,121 528 909 492 1,110 735 1,558 1,248 1,337 623 909 395 757 390 1,067 708 1,472 1,193 1,332 574 802 398 736 385 1,109 737 1,524 1,175 1,298 570 831 358 743 372 1,273 855 1,465 1,158 1,277 631 1,032 328 749 370 1,531 1,019 1,526 1,208 1,550 704 1,283 419 795 424 1,528 1,017 1,553 1,500 1,648 715 1,358 406 810 417 1,507 1,008 1,550 1,400 1,673 652 1,277 441 788 432 1,529 1,018 1,574 1,550 1,650 736 1,360 403 814 413 1,547 1,025 1,535 1,550 1,620 756 1,436 373 829 405 138 193 423 382 425 407 207 285 245 194 170 386 373 386 352 205 204 206 200 169 374 362 376 337 190 183 196 187 167 368 359 365 356 176 180 201 183 160 379 370 373 362 174 191 190 172 171 423 408 408 374 174 177 190 143 153 414 402 392 351 152 151 161 155 162 442 424 418 362 174 152 167 138 150 415 403 394 347 141 149 159 136 148 384 378 366 343 141 151 158 1.04 0.93 4.95 2.43 6.39 0.78 17.25 0.43 0.53 0.37 0.90 0.96 4.42 2.53 5.22 0.68 14.36 0.36 0.55 0.30 0.90 0.95 4.55 2.55 5.07 0.65 15.43 0.36 0.54 0.27 0.88 0.93 3.91 2.50 4.82 0.73 10.50 0.36 0.56 0.32 0.91 1.03 3.72 2.47 4.51 0.69 10.83 0.36 0.57 0.31 0.94 0.99 3.95 2.46 4.64 0.78 10.80 0.37 0.61 0.38 0.91 1.02 4.09 2.45 4.64 0.99 10.69 0.36 0.62 0.45 0.93 1.01 4.14 2.46 4.41 0.97 10.69 0.36 0.62 0.43 0.90 1.05 4.09 2.45 4.67 0.96 10.69 0.37 0.63 0.44 0.91 1.00 4.03 2.43 4.83 1.05 10.69 0.37 0.62 0.47 Non-Energy Agriculture Beverages Cocoa Coffee, arabica Coffee, robusta Tea, average Tea, Colombo Tea, Kolkata Tea, Mombasa $/kg $/kg $/kg $/kg $/kg $/kg $/kg ** ** ** $/mt $/mt $/mt $/mt $/mt $/mt $/mt $/mt $/mt $/mt ** ** ** ** Food Oils and Meals Coconut oil Copra Fishmeal Groundnuts Groundnut oil Palm oil Palmkernel oil Soybean meal Soybean oil Soybeans Grains Barley Maize Rice, Thailand 5% Rice, Thailand 25% Rice, Thailand A1 Rice, Vietnam 5% Sorghum Wheat, US HRW Wheat, US SRW Other Food Bananas, EU Bananas, US Meat, beef Meat, chicken Meat, sheep Oranges Shrimp Sugar, EU Sugar, US Sugar, World $/mt $/mt $/mt $/mt $/mt $/mt $/mt $/mt $/mt $/kg $/kg $/kg $/kg $/kg $/kg $/kg $/kg $/kg $/kg ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** 28 APPENDIX A C O M M O D I T Y M A R K E T S O U T L O O K | octo b er 2 0 1 6 TABLE A.1 Commodity prices Commodity Unit 2014 2015 Q3 2015 Q4 2015 Q1 2016 Q2 2016 Q3 2016 Jul 2016 Aug 2016 Sep 2016 465 282 517 789 898 877 389 246 451 733 833 875 389 244 447 743 845 875 383 245 450 727 827 875 386 258 474 686 780 875 395 276 506 688 782 875 391 291 533 630 716 875 387 286 525 630 717 875 392 294 539 628 715 875 392 292 536 630 717 875 Raw Materials Timber Logs, Africa Logs, S.E. Asia Plywood Sawnwood, Africa Sawnwood, S.E. Asia Woodpulp Other Raw Materials Cotton Rubber, RSS3 Rubber, TSR20 Fertilizers DAP Phosphate rock Potassium chloride TSP Urea, E. Europe Metals and Minerals Aluminum Copper Iron ore Lead Nickel Tin Zinc Precious Metals Gold Platinum Silver $/cum $/cum ¢/sheets $/cum $/cum $/mt ** ** $/kg $/kg $/kg ** ** 1.83 1.95 1.71 1.55 1.57 1.37 1.56 1.48 1.34 1.53 1.28 1.19 1.48 1.32 1.15 1.57 1.61 1.37 1.76 1.57 1.31 1.79 1.59 1.28 1.77 1.55 1.30 1.72 1.57 1.36 $/mt $/mt $/mt $/mt $/mt ** ** ** ** ** 472 110 297 388 316 459 117 303 385 273 464 117 303 380 268 419 123 297 380 251 367 116 283 328 209 351 115 263 282 198 340 112 221 282 183 341 115 228 285 177 340 111 220 283 182 339 110 215 277 191 $/mt $/mt $/dmt $/mt $/mt $/mt $/mt ** ** ** ** ** ** ** 1,867 6,863 96.9 2,095 16,893 21,899 2,161 1,665 5,510 55.8 1,788 11,863 16,067 1,932 1,592 5,267 55.0 1,717 10,579 15,230 1,843 1,494 4,885 47.0 1,682 9,423 15,077 1,612 1,514 4,675 48.3 1,738 8,508 15,439 1,677 1,572 4,736 56.0 1,718 8,823 16,902 1,917 1,619 4,778 58.7 1,870 10,258 18,574 2,250 1,629 4,865 57.0 1,835 10,263 17,826 2,183 1,639 4,752 61.0 1,836 10,336 18,427 2,279 1,589 4,716 58.0 1,939 10,176 19,468 2,288 $/toz $/toz $/toz *** *** *** 1,266 1,384 19.07 1,161 1,053 15.72 1,124 986 14.91 1,107 907 14.80 1,181 914 14.91 1,260 1,005 16.86 1,334 1,085 19.65 1,337 1,088 19.99 1,340 1,122 19.59 1,327 1,047 19.36 118.3 97.0 102.7 101.8 107.4 109.0 103.9 108.4 91.9 104.9 77.7 100.5 84.8 89.0 101.1 64.9 82.4 89.3 93.5 90.9 85.2 88.8 100.3 83.3 96.1 69.3 95.4 66.9 73.6 90.6 62.7 80.7 88.1 94.0 88.8 83.1 85.7 99.2 83.2 96.9 68.2 94.4 63.9 70.0 87.4 54.2 77.6 85.9 93.1 86.6 79.6 84.1 98.0 80.8 95.4 64.8 92.3 58.8 65.0 86.1 43.0 76.0 84.5 86.2 86.7 79.9 84.4 97.6 78.5 92.2 63.6 81.6 58.0 63.8 90.9 55.7 81.0 91.1 91.4 94.9 93.5 87.8 103.2 81.8 93.7 68.7 76.1 60.7 65.9 97.9 57.4 81.6 91.1 94.7 94.7 92.9 79.6 110.6 80.7 88.9 71.7 71.0 63.3 68.7 105.4 56.6 82.2 91.9 95.2 95.8 93.8 83.6 109.6 80.6 88.6 71.9 71.1 63.5 69.1 105.9 57.6 81.7 91.0 94.1 94.5 93.3 78.7 110.5 80.7 89.0 71.7 70.7 63.8 68.9 105.8 58.1 81.0 90.5 94.9 93.6 91.6 76.5 111.7 80.6 89.0 71.5 71.2 62.8 68.1 104.6 Commodity Price Indices (2010=100) Energy Non-energy Agriculture Beverages Food Oils and Meals Grains Other Food Raw Materials Timber Other Raw Materials Fertilizers Metals and Minerals Base Metals Precious Metals **** Source: See Appendix C. Notes: (*) Included in the energy index; (**) Included in the non-energy index; (***) Included in the precious metals index: (****) Metals and Minerals excluding iron ore. C O M M O D I T Y M A R K E T S O U T L O O K | octo b er 2 0 1 6 29 APPENDIX A TABLE A.2 Commodity price forecasts in nominal U.S. dollars Commodity Energy Coal, Australia Crude oil, avg, spot Natural gas, Europe Natural gas, US Natural gas, Japan Unit Forecasts 2018 2019 2013 2014 2015 2016 2017 2020 2025 84.6 104.1 11.79 3.73 15.96 70.1 96.2 10.05 4.37 16.04 57.5 50.8 7.26 2.61 10.40 58.0 43.3 4.40 2.50 6.80 55.0 55.2 4.70 3.00 7.10 55.6 59.9 5.03 3.50 7.41 56.2 62.7 5.37 3.68 7.73 56.8 65.6 5.74 3.88 8.07 60.0 82.6 8.00 5.00 10.00 $/kg $/kg $/kg $/kg 2.44 3.08 2.08 2.86 3.06 4.42 2.22 2.72 3.14 3.53 1.94 2.71 3.00 3.60 1.90 2.60 2.94 3.58 1.91 2.65 2.88 3.55 1.92 2.70 2.82 3.53 1.93 2.76 2.77 3.51 1.94 2.81 2.50 3.40 2.00 3.10 $/mt $/mt $/mt $/mt $/mt $/mt 941 1,773 857 545 1,057 538 1,280 1,313 821 528 909 492 1,110 1,337 623 395 757 390 1,470 1,520 700 380 790 405 1,408 1,539 710 390 811 416 1,349 1,558 721 400 832 428 1,293 1,578 732 411 855 440 1,239 1,598 743 422 877 453 1,000 1,700 800 480 1,000 520 $/mt $/mt $/mt $/mt 202 259 506 312 138 193 423 285 194 170 386 204 160 160 400 170 164 166 401 179 168 172 402 188 172 178 403 198 177 184 404 209 200 220 410 270 $/kg $/kg $/kg $/kg $/kg $/kg 0.92 4.07 2.29 0.97 13.84 0.39 0.93 4.95 2.43 0.78 17.25 0.37 0.96 4.42 2.53 0.68 14.36 0.30 1.00 3.90 2.50 0.85 10.70 0.40 0.99 3.93 2.46 0.86 10.93 0.40 0.98 3.96 2.43 0.87 11.17 0.40 0.97 4.00 2.40 0.88 11.42 0.39 0.96 4.03 2.36 0.89 11.67 0.39 0.92 4.20 2.20 0.95 13.00 0.38 464 305 853 465 282 898 389 246 833 390 280 750 401 286 774 412 292 800 424 299 825 436 305 852 500 340 1,000 $/kg $/kg $/mt 1.99 2.79 4,589 1.83 1.95 4,991 1.55 1.57 4,908 1.60 1.50 4,800 1.66 1.57 4,766 1.72 1.65 4,732 1.78 1.73 4,698 1.84 1.81 4,664 2.20 2.30 4,500 $/mt $/mt $/mt $/mt $/mt 445 148 379 382 340 472 110 297 388 316 459 117 303 385 273 349 113 245 292 195 358 113 251 299 203 367 112 258 306 211 377 112 265 313 220 387 112 272 320 229 440 110 310 360 280 $/mt $/mt $/dmt $/mt $/mt $/mt $/mt 1,847 7,332 135.4 2,140 15,032 22,283 1,910 1,867 6,863 96.9 2,095 16,893 21,899 2,161 1,665 5,510 55.8 1,788 11,863 16,067 1,932 1,575 4,700 54.0 1,800 9,300 17,250 2,025 1,626 4,913 50.0 1,850 10,126 17,723 2,500 1,679 5,135 51.7 1,901 11,025 18,208 2,600 1,734 5,367 53.4 1,953 12,004 18,707 2,570 1,790 5,610 55.2 2,007 13,070 19,219 2,541 2,100 7,000 65.0 2,300 20,000 22,000 2,400 $/toz $/toz $/toz 1,411 23.85 1,487 1,266 19.07 1,384 1,161 15.72 1,053 1,250 17.00 1,000 1,219 16.89 1,046 1,190 16.77 1,094 1,160 16.66 1,145 1,132 16.55 1,197 1,000 16.00 1,500 $/mt $/bbl $/mmbtu $/mmbtu $/mmbtu Non-Energy Agriculture Beverages Cocoa Coffee, Arabica Coffee, robusta Tea, average Food Oils and Meals Coconut oil Groundnut oil Palm oil Soybean meal Soybean oil Soybeans Grains Barley Maize Rice, Thailand, 5% Wheat, US, HRW Other Food Bananas, EU Meat, beef Meat, chicken Oranges Shrimp Sugar, World Raw Materials Timber Logs, Africa Logs, S.E. Asia Sawnwood, S.E. Asia Other Raw Materials Cotton A Rubber, RSS3 Tobacco Fertilizers DAP Phosphate rock Potassium chloride TSP Urea, E. Europe Metals and Minerals Aluminum Copper Iron ore Lead Nickel Tin Zinc Precious Metals Gold Silver Platinum Next update: January 2017. $/cum $/cum $/cum 30 APPENDIX A C O M M O D I T Y M A R K E T S O U T L O O K | octo b er 2 0 1 6 TABLE A.3 Commodity price forecasts in constant U.S. dollars (2010=100) Commodity Energy Coal, Australia Crude oil, avg, spot Natural gas, Europe Natural gas, US Natural gas, Japan Unit Forecasts 2018 2019 2013 2014 2015 2016 2017 2020 2025 79.7 98.1 11.11 3.52 15.04 66.2 90.9 9.49 4.13 15.15 54.4 48.0 6.87 2.47 9.85 53.9 40.2 4.09 2.32 6.32 50.3 50.5 4.30 2.74 6.49 50.0 53.9 4.52 3.15 6.66 49.8 55.5 4.75 3.26 6.85 49.5 57.1 5.00 3.38 7.03 48.1 66.3 6.42 4.01 8.02 $/kg $/kg $/kg $/kg 2.30 2.90 1.96 2.70 2.89 4.18 2.09 2.57 2.97 3.34 1.84 2.56 2.79 3.34 1.77 2.42 2.69 3.27 1.75 2.42 2.59 3.20 1.73 2.43 2.50 3.13 1.71 2.44 2.41 3.06 1.69 2.45 2.01 2.73 1.60 2.49 $/mt $/mt $/mt $/mt $/mt $/mt 887 1,672 808 514 996 508 1,209 1,240 776 499 859 464 1,050 1,265 589 374 716 370 1,366 1,412 650 353 734 376 1,287 1,407 649 356 741 381 1,214 1,402 649 360 749 385 1,145 1,397 648 364 757 390 1,079 1,392 647 367 764 394 802 1,363 642 385 802 417 $/mt $/mt $/mt $/mt 191 245 477 294 130 182 399 269 184 161 365 194 149 149 372 158 150 151 367 164 151 154 362 169 153 158 357 176 154 161 352 182 160 176 329 217 $/kg $/kg $/kg $/kg $/kg $/kg 0.87 3.84 2.16 0.91 13.05 0.37 0.88 4.67 2.29 0.74 16.29 0.35 0.91 4.19 2.39 0.64 13.59 0.28 0.93 3.62 2.32 0.79 9.94 0.37 0.91 3.59 2.25 0.79 9.99 0.36 0.88 3.57 2.19 0.78 10.05 0.36 0.86 3.54 2.12 0.78 10.11 0.35 0.84 3.51 2.06 0.78 10.17 0.34 0.74 3.37 1.76 0.76 10.43 0.30 437 288 804 439 266 848 368 233 789 362 260 697 366 261 708 371 263 719 375 264 731 380 266 743 401 273 802 $/kg $/kg $/mt 1.88 2.63 4,327 1.73 1.84 4,714 1.47 1.49 4,646 1.49 1.39 4,459 1.51 1.44 4,356 1.54 1.48 4,256 1.58 1.53 4,159 1.61 1.58 4,065 1.76 1.84 3,609 $/mt $/mt $/mt $/mt $/mt 419 140 357 360 321 446 104 281 367 299 434 111 287 364 258 324 105 228 271 181 327 103 230 273 186 331 101 232 275 190 334 99 235 277 195 337 97 237 279 200 353 88 249 289 225 $/mt $/mt $/dmt $/mt $/mt $/mt $/mt 1,741 6,913 127.6 2,018 14,173 21,010 1,801 1,764 6,482 91.6 1,979 15,955 20,683 2,041 1,576 5,216 52.8 1,692 11,228 15,207 1,828 1,463 4,367 50.2 1,672 8,640 16,026 1,881 1,486 4,490 45.7 1,691 9,254 16,197 2,285 1,510 4,619 46.5 1,710 9,917 16,378 2,339 1,535 4,752 47.3 1,729 10,628 16,562 2,276 1,560 4,889 48.1 1,749 11,390 16,749 2,215 1,684 5,614 52.1 1,845 16,041 17,645 1,925 $/toz $/toz $/toz 1,331 22.49 1,402 1,195 18.01 1,307 1,099 14.88 997 1,161 15.79 929 1,114 15.43 956 1,070 15.09 984 1,027 14.75 1,013 986 14.42 1,044 802 12.83 1,203 $/mt $/bbl $/mmbtu $/mmbtu $/mmbtu Non-Energy Agriculture Beverages Cocoa Coffee, Arabica Coffee, robusta Tea, average Food Oils and Meals Coconut oil Groundnut oil Palm oil Soybean meal Soybean oil Soybeans Grains Barley Maize Rice, Thailand, 5% Wheat, US, HRW Other Food Bananas, EU Meat, beef Meat, chicken Oranges Shrimp Sugar, World Raw Materials Timber Logs, Africa Logs, S.E. Asia Sawnwood, S.E. Asia Other Raw Materials Cotton A Rubber, RSS3 Tobacco Fertilizers DAP Phosphate rock Potassium chloride TSP Urea, E. Europe Metals and Minerals Aluminum Copper Iron ore Lead Nickel Tin Zinc Precious Metals Gold Silver Platinum $/cum $/cum $/cum Sources and Notes: See Appendix C. Next update: January 2017. C O M M O D I T Y M A R K E T S O U T L O O K | octo b er 2 0 1 6 31 APPENDIX A TABLE A.4 Commodity price index forecasts (2010=100) Commodity Unit Nominal US dollars (2010=100) Energy Non-energy Agriculture Beverages Food Oils and meals Grains Other food Raw materials Timber Other Raw Materials Fertilizers Metals and minerals * Base Metals ** Precious Metals 2013 2014 2015 2016 2017 Forecasts 2018 2019 2020 2025 127.4 101.7 106.3 83.3 115.6 115.9 128.2 103.9 95.4 102.6 87.6 113.7 90.8 90.3 115.1 118.3 97.0 102.7 101.8 107.4 109.0 103.9 108.4 91.9 104.9 77.7 100.5 84.8 89.0 101.1 64.9 82.4 89.3 93.5 90.9 85.2 88.8 100.3 83.3 96.1 69.3 95.4 66.9 73.6 90.6 55.1 79.7 89.2 91.7 92.4 89.3 82.8 105.2 80.2 91.1 68.2 74.8 60.8 66.4 97.4 68.6 81.4 90.5 91.1 93.8 91.1 85.2 105.0 82.2 93.8 69.5 76.7 63.3 70.1 95.4 74.4 83.2 91.9 90.6 95.2 93.0 87.8 104.8 84.4 96.6 70.9 78.7 65.9 73.0 93.5 77.8 85.0 93.3 90.2 96.7 94.9 90.4 104.6 86.6 99.5 72.4 80.7 68.4 75.8 91.7 81.4 86.8 94.7 89.7 98.2 96.9 93.2 104.5 88.9 102.5 73.9 82.8 71.0 78.7 89.9 102.6 97.3 103.0 87.7 106.8 107.7 108.8 103.8 101.7 118.8 82.9 94.4 86.0 95.6 81.6 Constant 2010 US dollars (2010=100), deflated by the MUV Index Energy Non-energy Agriculture Beverages Food Oils and meals Grains Other food Raw materials Timber Other Raw Materials Fertilizers Metals and minerals * Base Metals ** Precious Metals Inflation indices, 2010=100 MUV index *** % change per annum US GDP deflator % change per annum 120.1 95.9 100.2 78.5 109.0 109.3 120.9 98.0 90.0 96.7 82.6 107.2 85.6 85.2 108.5 111.7 91.6 97.0 96.1 101.4 103.0 98.1 102.4 86.8 99.0 73.4 94.9 80.1 84.1 95.5 61.4 78.0 84.5 88.5 86.0 80.6 84.0 94.9 78.8 90.9 65.6 90.3 63.4 69.7 85.8 51.2 74.1 82.9 85.2 85.9 83.0 76.9 97.8 74.5 84.7 63.4 69.5 56.5 61.6 90.5 62.7 74.4 82.7 83.3 85.7 83.3 77.9 96.0 75.1 85.8 63.5 70.1 57.9 64.0 87.2 66.9 74.8 82.6 81.5 85.6 83.6 79.0 94.3 75.9 86.9 63.8 70.8 59.3 65.7 84.1 68.9 75.2 82.6 79.8 85.6 84.0 80.1 92.6 76.6 88.1 64.1 71.5 60.6 67.1 81.2 71.0 75.6 82.6 78.2 85.6 84.4 81.2 91.0 77.4 89.3 64.4 72.1 61.9 68.6 78.3 82.3 78.1 82.6 70.3 85.7 86.4 87.3 83.2 81.6 95.3 66.5 75.7 69.0 76.7 65.4 106.1 -1.4 105.4 1.5 105.9 -0.2 106.9 1.3 105.7 -0.2 108.5 1.6 107.6 1.9 110.7 2.0 109.4 1.7 113.0 2.0 111.2 1.6 115.3 2.0 112.9 1.6 117.6 2.0 114.8 1.6 120.0 2.0 124.7 1.7 132.6 2.0 Source: See Appendix C. Notes: (*) Base metals plus iron ore; (**) Includes aluminum, copper, lead, nickel, tin and zinc; (***) MUV is the unit value index of manufacture exports. For other notes see Appendix C. Next update: January 2017. Appendix B Supply-Demand balances Aluminum35 Bananas36 Coal37 Cocoa38 Coconut oil and Palm kernel oil 39 Coffee40 Copper41 Cotton42 Crude oil 43 Fertilizers—Nitrogen44 Fertilizers—Phosphate and Potash 45 Gold46 Iron Ore 47 Lead48 Maize49 Natural gas 50 Natural rubber 51 Nickel52 Palm oil and Soybean oil 53 Platinum54 Rice55 Silver56 Soybeans57 Sugar58 Tea59 Timber—Roundwood and Sawnwood 60 Timber—Wood panels and Woodpulp 61 Tin62 Wheat63 Zinc64 C O M M O D I T Y M A R K E T S O U T L O O K | octo b er 2 0 1 6 APPENDIX B Aluminum Monthly Prices (US$/mt) Annual Prices (US$/mt) 3,500 3,500 3,000 3,000 Constant 2010 2,500 2,500 2,000 2,000 1,500 1,500 1,000 Jan-04 Nominal 1,000 Jan-06 Jan-08 Jan-10 Jan-12 Jan-14 Source: World Bank. Note: Last observation is September 2016. 1980 27,179 1,700 4,152 1,785 920 13,911 12,064 n/a n/a 3,286 0 4,903 0 n/a 93,326 1990 40,697 3,655 9,876 5,277 398 16,150 10,937 n/a n/a 2,496 0 3,267 786 n/a 114,835 Refined Production (thousand metric tons) China Russian Federation Canada United Arab Emirates India Australia United States Norway Bahrain Saudi Arabia Brazil Iceland South Africa Others World 358 n/a 1,075 35 185 304 4,654 662 126 0 261 75 87 n/a 16,036 854 n/a 1,567 174 433 1,233 4,048 867 212 0 931 88 157 n/a 19,362 Refined Consumption (thousand metric tons) China United States Germany Japan India Korea, Rep. Turkey United Arab Emirates Brazil Others World 550 4,454 1,272 1,639 234 68 45 0 296 6,754 15,312 Source: World Bureau of Metal Statistics. Note: n/a implies data not available. 1980 1990 2000 2010 2020 Source: World Bank. Note: 2016-25 are forecasts. Bauxite Production (thousand metric tons) Australia China Brazil India Malaysia Guinea Jamaica Russian Federation Kazakhstan Greece Saudi Arabia Surinam Venezuela, RB Others World 500 1970 Jan-16 861 4,330 1,379 2,414 433 369 152 0 341 8,947 19,227 2000 2005 2010 2012 2013 2014 2015 53,801 7,900 14,379 7,562 123 17,992 11,127 5,000 3,729 1,991 0 3,610 4,361 7,315 138,889 59,959 17,408 22,365 12,385 5 19,237 14,118 6,409 4,815 2,495 0 4,757 5,815 7,038 176,807 68,535 36,837 32,028 12,662 124 17,633 8,540 5,475 5,310 1,902 0 3,097 3,126 33,532 228,802 76,282 44,052 34,988 15,320 122 19,974 9,339 5,166 5,170 1,815 760 2,873 2,285 39,538 257,685 81,119 50,339 33,849 20,421 220 18,763 9,435 5,322 5,193 1,844 1,044 2,706 2,341 64,212 296,808 78,633 65,000 35,410 20,688 963 19,178 9,677 5,589 4,515 1,876 1,965 2,708 2,316 11,775 260,291 80,910 65,000 31,231 26,383 22,867 20,414 9,629 6,580 4,683 2,100 1,964 1,871 1,770 10,080 285,483 2,647 3,258 2,373 536 647 1,761 3,668 1,026 509 0 1,271 226 683 5,699 24,304 7,759 3,647 2,894 722 942 1,903 2,480 1,376 708 0 1,498 272 851 6,788 31,841 16,244 3,947 2,963 1,400 1,610 1,928 1,728 1,090 851 0 1,536 826 806 6,630 41,559 20,251 4,024 2,781 1,861 1,714 1,864 2,070 1,111 890 0 1,436 803 665 6,766 46,236 23,153 3,724 2,967 1,848 1,597 1,778 1,948 1,155 913 187 1,304 736 822 6,569 48,701 27,517 3,488 2,858 2,296 1,767 1,704 1,710 1,331 931 665 962 749 745 6,526 53,249 31,410 3,524 2,880 2,464 1,886 1,645 1,587 1,241 961 835 773 756 695 6,686 57,342 3,352 6,161 1,632 2,223 601 823 211 34 514 9,456 25,007 7,072 6,114 1,758 2,276 958 1,201 390 85 759 11,022 31,636 15,854 4,242 1,912 2,025 1,475 1,255 703 650 985 11,317 40,419 20,224 4,875 2,086 1,982 1,690 1,278 925 835 1,021 11,013 45,929 21,955 4,632 2,083 1,772 1,559 1,241 867 835 988 10,563 46,495 27,204 5,250 2,289 2,034 1,523 1,282 915 835 1,027 10,945 53,305 31,068 5,325 2,126 1,779 1,476 1,366 952 835 801 11,353 57,080 35 36 APPENDIX B C O M M O D I T Y M A R K E T S O U T L O O K | octo b er 2 0 1 6 Bananas Monthly Prices (US$/kg) Annual Prices (US$/kg) 1.2 1.2 1.0 1.0 0.8 0.8 Constant 2010 0.6 0.6 0.4 0.4 0.2 Jan-04 Nominal 0.2 Jan-06 Jan-08 Jan-10 Jan-12 Jan-14 0.0 1970 Jan-16 Source: World Bank. Note: Last observation is September 2016. 1970 2000 2010 2020 1990 2000 2009 2010 2011 2012 2013 1,291 923 371 973 692 n/a 973 205 16 7 3 3 65 504 122 10 0 0 15 67 533 6,772 2,157 840 360 1,434 1,148 n/a 781 337 154 43 29 26 78 745 94 11 0 0 24 53 714 9,030 3,994 1,600 802 2,079 1,564 967 375 400 81 49 105 242 238 489 243 79 0 9 66 72 881 14,336 5,701 1,744 1,479 1,716 1,838 1,244 518 538 161 123 391 237 255 257 249 282 0 89 87 144 1,158 18,213 5,156 1,590 1,388 1,909 1,692 1,219 471 503 176 136 384 322 238 271 266 340 1 79 58 140 1,149 17,491 5,778 2,047 1,457 1,914 1,828 1,272 489 516 180 173 367 253 237 264 239 304 1 108 74 110 1,110 18,720 5,183 2,646 1,866 1,882 1,733 1,231 583 516 309 217 276 265 232 247 339 136 122 101 104 93 1,017 19,099 5,352 3,268 1,950 1,928 1,549 1,228 675 547 344 315 305 283 256 252 211 145 124 101 99 98 1,069 20,098 1,846 548 n/a n/a 335 844 288 435 2 29 199 0 81 10 164 3 11 n/a 3 0 2,423 614 n/a n/a 322 726 279 446 0 21 246 23 114 25 195 15 n/a n/a 47 0 3,099 1,232 n/a n/a 470 758 429 497 50 48 341 30 142 15 73 22 n/a n/a 8 62 4,031 1,115 503 1,027 743 1,079 605 341 200 647 399 99 160 24 340 184 n/a 60 285 124 3,580 1,358 981 1,315 942 1,253 684 530 650 575 482 84 188 35 344 257 180 227 225 182 4,115 1,234 1,068 1,351 979 1,109 658 550 661 739 496 93 222 23 351 338 58 152 245 201 4,123 1,288 1,307 1,340 1,019 1,064 662 567 616 910 506 116 297 24 395 353 245 248 223 235 4,353 1,199 1,260 1,287 1,037 1,087 616 523 590 707 513 282 357 100 370 368 222 243 202 225 4,548 1,344 1,339 1,275 1,140 975 655 612 595 583 543 425 418 404 392 314 274 266 265 235 787 5,584 1,184 6,680 1,608 8,881 2,473 14,436 3,161 17,235 3,290 17,934 3,183 18,721 2,774 18,314 3,061 19,664 1,246 107 200 856 262 n/a 799 191 1 1 5 0 50 600 140 4 0 0 0 204 851 5,519 Imports (thousand metric tons) United States Germany Russian Federation Belgium United Kingdom Japan Italy France Iran, Islamic Rep. China Canada United Arab Emirates Netherlands Kuwait Argentina Korea, Rep. Algeria Ukraine Poland Turkey Others World 1990 1980 Exports (thousand metric tons) Ecuador Philippines Guatemala Costa Rica Colombia Belgium Honduras United States Mexico Netherlands Germany France Cameroon Panama Côte d’Ivoire Dominican Republic Peru Bolivia Belize Brazil Others World 1980 Source: World Bank. Note: 2016-25 are forecasts. Sources: Food and Agriculture Organization, Intergovernmental Group on Bananas and Tropical Fruits. Note: n/a implies data not available. Data include re-exports. C O M M O D I T Y M A R K E T S O U T L O O K | octo b er 2 0 1 6 APPENDIX B Coal Monthly Prices (US$/mt) Annual Prices (US$/mt) 200 150 120 150 90 100 60 50 0 Jan-04 Constant 2010 30 Jan-06 Jan-08 Jan-10 Jan-12 Jan-14 0 1970 Jan-16 Source: World Bank. Note: Last observation is September 2016. 1981 311 463 64 65 0 n/a 75 3 103 n/a 149 23 3 43 n/a 2 7 n/a 2 3 5 78 8 n/a 1,863 1990 303 64 401 65 n/a 51 15 0 144 91 27 4 7 n/a n/a n/a 1,836 1990 2000 2010 2020 540 566 106 109 7 186 100 13 100 57 125 40 3 36 76 3 12 n/a 3 7 5 56 9 115 2,274 2000 2005 2010 2012 2013 2014 2015 707 570 152 167 47 121 127 25 72 32 61 39 7 25 36 2 12 n/a 5 8 4 20 6 79 2,326 1,242 580 190 206 94 136 138 39 69 37 57 35 19 24 35 4 11 n/a 6 9 4 13 7 80 3,034 1,665 551 252 241 169 151 144 48 55 47 46 35 25 21 32 15 18 7 7 7 5 11 6 67 3,628 1,874 518 255 250 237 168 147 58 58 52 48 36 24 20 38 18 17 7 7 8 6 11 6 68 3,930 1,895 501 256 268 276 173 145 56 57 51 45 37 23 18 37 18 15 8 7 7 5 8 5 77 3,986 1,864 508 271 287 282 177 148 58 54 49 44 36 23 17 26 15 16 6 7 6 5 7 4 78 3,989 1,827 455 284 275 241 184 143 56 54 46 43 32 23 16 16 15 12 7 7 6 6 5 5 72 3,830 1,318 211 574 114 95 80 55 24 81 55 54 35 22 27 38 346 3,131 1,743 293 525 116 91 93 76 39 77 55 51 38 31 33 38 335 3,634 1,923 330 438 116 98 88 81 53 80 51 47 38 36 36 43 354 3,814 1,964 356 455 121 91 89 82 58 83 53 45 39 32 36 42 347 3,891 1,949 389 454 119 88 90 85 70 79 49 45 39 36 36 36 349 3,911 1,920 407 396 119 89 85 84 80 78 50 47 38 34 33 29 349 3,840 Consumption (million metric tons oil equivalent) China India United States Japan Russian Federation South Africa Korea, Rep. Indonesia Germany Poland Australia Taiwan, China Turkey Kazakhstan Ukraine Others World 1980 Source: World Bank. Note: 2016-25 are forecasts. Production (million metric tons oil equivalent) China United States India Australia Indonesia Russian Federation South Africa Colombia Poland Kazakhstan Germany Canada Vietnam Czech Republic Ukraine Mongolia Turkey Serbia Mexico Greece Bulgaria United Kingdom Romania Others World Nominal 526 110 483 78 182 67 24 3 132 78 37 11 16 39 75 381 2,243 701 164 569 95 106 75 43 13 85 56 48 27 23 18 39 316 2,379 Source: BP Statistical Review. Notes: n/a implies data not available. Production includes crude oil and natural gas liquids but excludes liquid fuels from other sources such as biomass and derivatives of coal and natural gas included in consumption. 37 38 APPENDIX B C O M M O D I T Y M A R K E T S O U T L O O K | octo b er 2 0 1 6 Cocoa Monthly Prices (US$/kg) Annual Prices (US$/kg) 3.5 10 3.0 8 2.5 6 2.0 4 1.5 2 1.0 Jan-04 0 1970 Constant 2010 Nominal Jan-06 Jan-08 Jan-10 Jan-12 Jan-14 Jan-16 Source: World Bank. Note: Last observation is September 2016. 1970/71 1980/81 Production (thousand metric tons) Côte d’Ivoire Ghana Indonesia Ecuador Cameroon Nigeria Brazil Peru Dominican Republic Colombia Others World 180 406 2 72 112 305 182 2 35 21 212 1,528 Grindings (thousand metric tons) Côte d’Ivoire Netherlands Germany United States Indonesia Ghana Others World 35 116 151 279 1 48 801 1,431 Exports (thousand metric tons) Côte d’Ivoire Ghana Ecuador Cameroon Nigeria Malaysia Others World 138 348 46 75 216 3 294 1,119 Imports (thousand metric tons) Netherlands United States Germany Belgium Malaysia France Spain Italy Turkey Singapore Others World 116 269 155 18 1 42 34 41 1 3 460 1,139 1980 1990 2000 2010 2020 Source: World Bank. Note: 2016-25 are forecasts. 1990/91 2000/01 2010/11 2012/13 2013/14 2014/15 2015/16 417 258 12 87 117 156 353 7 35 38 214 1,694 804 293 150 111 115 160 368 11 42 52 400 2,507 1,212 395 385 89 133 180 163 17 45 37 195 2,852 1,511 1,025 440 161 229 240 200 54 54 35 361 4,309 1,449 835 410 192 225 238 185 70 68 48 223 3,943 1,746 897 375 234 211 248 228 82 70 49 232 4,372 1,796 740 325 250 232 195 230 85 82 51 246 4,233 1,650 800 320 220 220 190 180 85 72 53 250 4,040 60 140 180 186 10 27 964 1,566 118 268 294 268 32 30 1,315 2,325 285 452 227 445 83 70 1,480 3,041 361 540 439 401 190 230 1,778 3,938 471 545 402 429 290 225 1,810 4,173 519 530 412 446 340 234 1,840 4,322 558 508 415 398 335 234 1,697 4,145 540 516 428 390 370 230 1,706 4,180 406 182 19 96 76 40 282 1,100 688 245 56 96 142 148 362 1,737 903 307 57 102 149 17 451 1,987 1,079 694 136 204 219 21 643 2,996 1,045 601 165 186 183 39 423 2,643 1,192 709 197 160 192 90 381 2,920 1,234 586 235 205 113 71 365 2,807 n/a n/a n/a n/a n/a n/a n/a n/a 167 246 187 28 n/a 59 37 32 2 22 418 1,198 267 320 300 50 1 74 45 56 6 127 516 1,761 549 355 228 101 110 157 49 72 39 67 682 2,409 806 472 434 194 320 149 88 86 71 88 649 3,357 672 428 273 225 305 114 99 88 78 80 635 2,996 641 475 318 258 315 141 107 90 88 81 656 3,171 471 445 343 252 228 137 104 97 88 81 629 2,875 n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a Source: Quarterly Bulletin of Cocoa Statistics. Notes: n/a implies data not available. Data for 1970/71 are average of 1968-1972. C O M M O D I T Y M A R K E T S O U T L O O K | octo b er 2 0 1 6 APPENDIX B Coconut oil and Palm kernel oil Monthly Prices (US$/mt) Annual Prices (US$/mt) 3,000 2,400 2,500 2,000 Coconut oil 1,200 1,500 1,000 800 400 Jan-04 Coconut oil, constant 2010 2,000 1,600 Palmkernel oil Jan-06 Jan-08 Jan-10 Jan-12 Jan-14 1980/81 1990/91 2000/01 1,159 677 228 99 64 n/a n/a n/a 596 2,823 1,448 833 292 126 32 n/a n/a n/a 628 3,359 1,207 825 442 126 38 n/a n/a n/a 606 3,244 Coconut oil: consumption (thousand metric tons) 498 373 233 195 639 27 115 4 575 2,659 632 400 301 318 600 32 139 4 759 3,185 734 585 448 297 200 43 139 32 715 3,193 Palmkernel oil: production (thousand metric tons) Indonesia Malaysia Thailand Nigeria Colombia Papua New Guinea Ecuador Côte d’Ivoire Others World 36 250 n/a 82 n/a n/a n/a n/a 195 563 229 827 n/a 146 n/a n/a n/a n/a 261 1,463 709 1,289 n/a 190 n/a n/a n/a n/a 349 2,537 Palmkernel oil: consumption (thousand metric tons) Indonesia Malaysia European Union China United States Brazil India Nigeria Others World Coconut oil, nominal 1980 1990 2000 2010 2020 Source: World Bank. Note: 2016-25 are forecasts. Coconut oil: production (thousand metric tons) European Union United States India Philippines Indonesia China Mexico Malaysia Others World 0 1970 Jan-16 Source: World Bank. Note: Last observation is September 2016. Philippines Indonesia India Mexico Malaysia Vietnam Thailand Papua New Guinea Others World 500 29 4 238 1 69 2 1 24 147 515 66 117 417 12 149 10 7 146 465 1,389 113 686 500 31 224 55 13 175 708 2,505 2010/11 2012/13 2013/14 2014/15 2015/16 2016/17 1,240 847 398 131 49 34 27 54 314 3,094 1,624 850 380 131 51 34 29 32 322 3,453 1,153 933 390 127 51 34 29 26 313 3,056 1,102 937 377 127 51 34 29 18 312 2,987 937 835 365 127 47 33 28 19 313 2,704 1,076 907 371 127 50 33 27 20 313 2,924 739 474 411 336 153 216 153 90 671 3,243 716 520 381 523 215 152 135 57 702 3,401 646 518 392 364 377 142 129 49 507 3,124 537 531 389 241 155 137 130 83 714 2,917 550 446 367 231 179 132 133 72 644 2,754 569 486 372 283 177 133 131 80 648 2,879 2,534 2,072 140 108 80 43 35 40 339 5,391 3,022 2,271 174 116 90 51 39 43 376 6,182 3,264 2,332 176 109 95 57 37 42 411 6,523 3,538 2,280 165 114 105 58 40 39 425 6,764 3,498 2,052 154 117 106 59 42 41 443 6,512 3,656 2,322 165 120 110 61 44 42 467 6,987 851 1,420 537 421 279 201 198 107 1,214 5,228 1,260 1,464 667 620 267 215 326 113 1,326 6,258 1,518 1,414 674 495 266 249 265 105 1,406 6,392 1,670 1,504 675 578 274 241 245 113 1,423 6,723 1,738 1,383 705 610 324 226 125 115 1,507 6,733 1,780 1,442 738 640 318 237 169 118 1,450 6,892 Source: Oil World. Notes: All quantities are for the crop year (beginning October 1). For example, 2001/02 refers to October 2001 to September 2002. European Union includes EU-15 for 1980/81, 1990/91, 2000/01 and EU-28 for 2010-2016. 39 40 APPENDIX B C O M M O D I T Y M A R K E T S O U T L O O K | octo b er 2 0 1 6 Coffee Annual Constant Prices (US$/kg) Monthly Prices (US$/kg) 8 12 6 9 Arabica 4 Arabica 6 2 3 Robusta Robusta 0 Jan-04 Jan-06 Jan-08 Jan-10 Jan-12 Jan-14 0 1970 Jan-16 Source: World Bank. Note: Last observation is September 2016. 1970/71 2010 2020 2000/01 2010/11 2013/14 2014/15 2015/16 2016/17 21,500 77 13,500 5,365 3,264 1,265 1,977 1,170 2,133 2,702 3,862 0 971 6,090 88 2,140 1,060 201 880 17,929 86,174 31,000 1,200 14,500 7,480 3,500 1,685 2,970 1,170 2,700 3,282 4,550 0 460 3,300 75 2,565 763 785 964 17,232 100,181 34,100 15,333 10,500 6,495 2,768 2,821 5,020 2,824 3,097 4,564 4,800 0 1,610 5,100 700 2,502 809 1,692 1,041 11,441 117,217 54,500 19,415 8,525 9,325 6,125 3,975 5,035 4,100 3,212 3,960 4,000 827 1,740 1,600 1,100 1,575 1,050 1,000 865 9,480 141,409 57,200 29,833 12,075 9,500 6,345 4,400 5,075 4,250 3,850 3,515 3,950 1,947 2,000 1,675 1,500 1,450 800 1,000 855 6,558 157,778 54,300 27,400 13,300 10,470 6,475 5,100 5,440 2,900 3,550 3,185 3,180 2,000 2,125 1,400 1,500 1,400 1,150 1,000 810 6,570 153,255 49,400 29,300 13,600 11,750 6,500 5,700 5,300 3,500 4,500 3,350 2,500 2,100 2,025 1,650 1,500 1,400 1,250 1,000 750 6,217 153,292 55,950 27,275 13,300 10,000 6,500 6,100 5,170 3,800 3,700 3,375 2,300 2,300 2,125 1,700 1,500 1,400 1,050 1,000 750 6,402 155,697 n/a 297 7,975 n/a 432 n/a n/a 1,228 n/a 1,600 35 n/a 1,500 n/a n/a n/a 1,825 887 1,090 n/a n/a n/a 229 9,000 n/a 810 n/a n/a 1,295 n/a 1,900 100 n/a 1,400 n/a n/a n/a 1,615 1,224 850 n/a n/a n/a 183 13,100 n/a 900 n/a n/a 1,335 n/a 1,667 417 n/a 978 n/a n/a n/a 1,530 959 735 n/a n/a 41,350 22,383 19,420 7,015 2,825 4,245 4,355 1,680 1,059 2,860 1,337 1,910 2,620 1,815 1,445 1,570 1,120 1,231 1,305 12,878 134,423 41,475 23,811 20,210 7,750 3,630 4,605 4,230 2,750 2,195 3,120 2,008 2,160 2,731 2,300 1,615 1,410 1,300 1,170 1,170 13,156 142,796 43,820 23,573 20,420 7,825 4,320 4,495 4,050 3,040 2,463 2,985 2,217 2,305 2,364 2,195 1,775 1,445 1,400 1,270 1,151 12,874 145,987 43,100 24,767 20,500 8,285 5,475 4,200 4,450 2,750 2,850 2,972 2,600 2,370 2,315 2,230 1,810 1,500 1,425 1,350 1,151 12,990 149,090 43,900 25,150 20,520 8,325 4,775 4,400 4,375 3,110 3,000 2,975 2,868 2,450 2,350 2,280 1,800 1,550 1,475 1,400 1,031 13,072 150,806 11,000 56 8,000 2,330 2,589 545 1,914 1,114 2,667 1,965 3,200 0 641 3,996 66 1,295 909 19 401 16,495 59,202 n/a 305 8,890 n/a 496 n/a n/a 888 n/a 1,170 31 n/a 1,512 n/a n/a n/a 1,349 665 638 n/a n/a 2000 1990/91 Consumption (thousand 60kg bags) European Union United States Brazil Japan Philippines Canada Russian Federation Indonesia China Ethiopia Vietnam Korea, Rep. Mexico Algeria Australia Switzerland Colombia India Venezuela, RB Others World 1990 1980/81 Production (thousand 60kg bags) Brazil Vietnam Colombia Indonesia Ethiopia Honduras India Peru Uganda Guatemala Mexico China Nicaragua Côte d’Ivoire Malaysia Costa Rica Tanzania, United Rep. Thailand Papua New Guinea Others World 1980 Source: World Bank. Note: 2016-25 are forecasts. Source: U.S. Department of Agriculture (October 2016 update). Note: n/a implies data not available. C O M M O D I T Y M A R K E T S O U T L O O K | octo b er 2 0 1 6 APPENDIX B Copper Monthly Prices (US$/mt) Annual Prices (US$/mt) 10,000 10,000 8,000 8,000 6,000 6,000 4,000 4,000 2,000 2,000 Constant 2010 Nominal 0 Jan-04 Jan-06 Jan-08 Jan-10 Jan-12 Jan-14 Jan-16 Source: World Bank. Note: Last observation is September 2016. 1980 1,068 367 177 1,181 460 244 596 n/a 716 59 n/a 175 343 n/a 7,864 1990 1,588 318 296 1,587 356 327 496 n/a 794 169 n/a 291 370 n/a 8,997 Refined Production (thousand metric tons) China Chile Japan United States Russian Federation India Congo, Dem. Rep. Zambia Germany Korea, Rep. Poland Australia Spain Others World 314 811 1,014 1,686 n/a 23 144 607 425 79 357 182 154 n/a 9,390 562 1,192 1,008 2,017 n/a 39 173 479 533 187 346 274 171 n/a 10,809 Refined Consumption (thousand metric tons) China United States Germany Japan Korea, Rep. Italy India Turkey Taiwan, China Others World 286 1,868 870 1,158 85 388 77 33 85 n/a 9,385 1980 1990 2000 2010 2020 Source: World Bank. Note: 2016-25 are forecasts. Mine Production (thousand metric tons) Chile Peru China United States Congo, Dem. Rep. Australia Zambia Russian Federation Canada Indonesia Kazakhstan Mexico Poland Others World 0 1970 512 2,150 1,028 1,577 324 475 135 103 265 n/a 10,780 2000 2005 2010 2012 2013 2014 2015 4,602 553 549 1,440 33 832 249 580 634 1,006 433 365 454 1,476 13,207 5,321 1,010 639 1,157 98 930 441 805 595 1,064 436 391 523 1,619 15,029 5,419 1,247 1,180 1,129 378 870 732 703 522 871 404 270 425 1,985 16,135 5,434 1,299 1,552 1,196 608 914 782 720 580 398 491 500 427 2,088 16,989 5,776 1,376 1,681 1,279 817 999 839 720 632 494 538 480 429 2,251 18,311 5,750 1,380 1,632 1,383 996 965 756 720 696 366 501 514 421 2,399 18,478 5,764 1,705 1,669 1,373 1,039 957 754 720 697 580 566 540 426 2,517 19,308 1,312 2,669 1,437 1,802 824 265 29 226 709 471 486 484 316 3,731 14,761 2,566 2,824 1,395 1,257 968 518 3 465 639 527 560 471 308 4,135 16,635 4,540 3,244 1,549 1,093 900 647 254 767 585 556 547 424 347 3,640 19,094 5,879 2,902 1,516 1,001 880 689 453 700 534 590 566 461 408 3,627 20,207 6,667 2,755 1,468 1,040 874 619 643 629 680 604 565 480 351 3,737 21,112 7,959 2,729 1,554 1,095 874 764 742 710 673 604 577 511 428 3,707 22,927 7,964 2,688 1,483 1,135 874 792 775 710 678 604 574 489 426 3,905 23,097 1,869 2,979 1,309 1,351 862 674 246 248 628 4,929 15,096 3,621 2,264 1,115 1,229 868 680 397 319 638 5,516 16,649 7,385 1,760 1,312 1,060 856 619 514 369 532 4,932 19,340 8,896 1,758 1,114 985 721 570 456 429 432 4,772 20,133 9,830 1,826 1,136 996 722 552 423 453 437 4,626 21,002 11,303 1,767 1,162 1,072 759 622 434 453 465 4,774 22,811 11,451 1,792 1,219 993 705 611 491 475 471 4,529 22,736 Source: World Bureau of Metal Statistics. Notes: n/a implies data not available. Refined production and consumption include significant recyled material. 41 42 APPENDIX B C O M M O D I T Y M A R K E T S O U T L O O K | octo b er 2 0 1 6 Cotton Monthly Prices (US$/kg) Annual Prices (US$/kg) 6 6 5 5 4 4 3 3 2 2 1 1 0 0 Constant 2010 Nominal Jan-04 Jan-06 Jan-08 Jan-10 Jan-12 Jan-14 Jan-16 1970 Source: World Bank. Note: Last observation is September 2016. Source: World Bank. Note: 2016-25 are forecasts. 1970/71 1980/81 Production (thousand metric tons) India China United States Pakistan Brazil Uzbekistan Turkey Australia Turkmenistan Burkina Faso Greece Mali Others World 909 1,995 2,219 543 594 n/a 400 19 n/a 8 110 20 n/a 11,740 Stocks (thousand metric tons) China India United States Turkey Brazil Pakistan Others World 412 376 915 24 321 55 2,502 4,605 Exports (thousand metric tons) United States India Brazil Australia Uzbekistan Burkina Faso Others World 848 34 220 4 n/a 9 n/a 3,875 Imports (thousand metric tons) Vietnam Bangladesh China Turkey Indonesia Pakistan Mexico Thailand Others World 33 0 108 1 36 1 1 46 3,861 4,086 1980 1990 2000 2010 2020 1990/91 2000/01 2010/11 2013/14 2014/15 2015/16 2016/17 1,322 2,707 2,422 714 623 1,671 500 99 n/a 23 115 41 n/a 13,831 1,989 4,508 3,376 1,638 717 1,593 655 433 437 77 213 115 3,201 18,951 2,380 4,505 3,742 1,816 939 975 880 804 187 116 421 102 2,658 19,524 5,865 6,400 3,942 1,948 1,960 910 594 898 380 141 180 103 2,088 25,408 6,766 6,950 2,811 2,076 1,734 910 843 933 329 247 280 205 2,086 26,169 6,562 6,500 3,553 2,305 1,563 885 722 937 327 254 308 199 2,081 26,196 5,746 4,753 2,806 1,514 1,348 832 630 579 290 244 218 216 1,929 21,105 5,766 4,553 3,514 1,910 1,447 816 664 846 306 314 213 270 1,918 22,537 476 491 581 112 391 131 2,969 5,151 1,589 539 510 150 231 313 3,428 6,761 3,755 922 1,306 283 755 608 2,984 10,614 2,087 1,850 566 412 1,400 316 2,832 9,463 12,109 1,922 651 821 852 422 3,699 20,476 12,917 1,946 980 809 852 414 4,396 22,314 11,272 1,986 1,010 870 854 433 2,943 19,368 9,582 1,901 1,300 883 876 455 3,101 18,098 1,290 140 21 53 n/a 22 n/a 4,414 1,697 255 167 329 n/a 73 n/a 5,069 1,467 24 68 849 750 112 2,535 5,805 3,130 1,085 435 545 600 136 1,786 7,717 2,293 2,014 485 1,057 615 253 2,293 9,010 2,449 914 851 520 550 243 2,204 7,731 1,993 1,265 939 613 544 262 1,873 7,489 2,504 821 777 644 456 295 1,917 7,414 40 45 773 0 106 1 0 86 3,504 4,555 31 80 480 46 324 0 43 354 3,862 5,220 84 248 52 381 570 101 410 342 3,576 5,764 350 843 2,609 760 471 314 261 383 1,766 7,756 687 967 3,075 924 651 463 114 369 1,463 8,712 934 964 1,804 800 728 541 110 398 1,293 7,572 1,001 1,108 959 918 640 490 219 278 1,613 7,226 1,152 1,217 977 849 646 436 290 274 1,573 7,414 Source: International Cotton Advisory Committee (September-October 2016 update). Note: n/a implies data not available. C O M M O D I T Y M A R K E T S O U T L O O K | octo b er 2 0 1 6 APPENDIX B Crude oil Monthly Prices (US$/bbl) Annual Prices (US$/bbl) 150 150 120 120 90 90 60 60 30 30 0 Jan-04 Jan-06 Jan-08 Jan-10 Jan-12 Jan-14 Jan-16 1980 Production (thousand barrels per day) United States Saudi Arabia Russian Federation Canada China Iraq Iran, Islamic Rep. United Arab Emirates Kuwait Venezuela, RB Mexico Brazil Nigeria Norway Qatar Angola Kazakhstan Algeria Colombia United Kingdom Oman India Azerbaijan Others World 11,297 3,851 n/a 1,473 616 1,549 3,848 762 3,036 3,754 487 167 1,084 n/a 363 103 n/a 1,052 226 4 332 140 n/a n/a 48,056 10,170 10,270 n/a 1,764 2,122 2,658 1,479 1,745 1,757 2,228 2,129 188 2,059 528 476 150 n/a 1,139 131 1,676 285 193 n/a n/a 62,959 Consumption (thousand barrels per day) Untied States China India Japan Saudi Arabia Brazil Russian Federation Korea, Rep. Germany Canada Iran, Islamic Rep. Mexico Indonesia France United Kingdom Others Total World 14,710 554 390 3,876 435 516 n/a 162 2,765 1,472 224 412 138 1,860 2,031 n/a 45,229 Nominal 1980 1990 2000 2010 2020 Source: World Bank. Note: 2016-25 are forecasts. Source: World Bank. Note: Last observation is September 2016. 1970 0 1970 Constant 2010 17,062 1,707 643 4,905 592 1,134 n/a 476 3,014 1,898 591 1,048 395 2,220 1,649 n/a 61,401 1990 2000 2010 2012 2013 2014 2015 8,914 7,105 10,342 1,968 2,778 2,149 3,270 2,283 964 2,244 2,941 650 1,870 1,716 434 475 571 1,347 446 1,933 695 715 254 9,323 65,386 7,732 9,470 6,583 2,703 3,257 2,613 3,852 2,660 2,244 3,097 3,459 1,271 2,155 3,346 853 746 740 1,549 687 2,714 961 726 281 11,223 74,922 7,550 10,075 10,366 3,332 4,077 2,490 4,420 2,895 2,561 2,838 2,961 2,137 2,535 2,136 1,638 1,863 1,676 1,689 786 1,361 865 882 1,023 11,126 83,283 8,883 11,635 10,639 3,740 4,155 3,116 3,814 3,403 3,171 2,701 2,912 2,149 2,430 1,917 1,931 1,784 1,662 1,537 944 949 918 906 872 10,048 86,218 10,059 11,393 10,779 4,000 4,216 3,141 3,611 3,640 3,134 2,678 2,876 2,114 2,321 1,838 1,903 1,799 1,720 1,485 1,004 867 942 906 877 9,288 86,591 11,723 11,505 10,838 4,278 4,246 3,285 3,736 3,685 3,120 2,685 2,785 2,346 2,389 1,889 1,893 1,712 1,701 1,589 990 855 943 887 849 8,907 88,834 12,704 12,014 10,980 4,385 4,309 4,031 3,920 3,902 3,096 2,626 2,588 2,527 2,352 1,948 1,898 1,826 1,669 1,586 1,008 965 952 876 841 8,669 91,670 16,988 2,297 1,211 5,240 1,136 1,454 5,042 1,041 2,685 1,747 1,069 1,580 653 1,895 1,751 20,879 66,667 19,701 4,697 2,259 5,542 1,627 2,066 2,540 2,260 2,746 2,043 1,455 1,965 1,139 1,994 1,713 23,241 76,988 19,180 9,436 3,319 4,442 3,218 2,721 2,878 2,370 2,445 2,324 1,875 2,014 1,402 1,763 1,623 27,754 88,765 18,490 10,229 3,685 4,688 3,462 2,905 3,119 2,458 2,356 2,372 1,915 2,063 1,631 1,676 1,530 28,082 90,663 18,961 10,732 3,727 4,531 3,469 3,106 3,145 2,455 2,408 2,383 2,048 2,020 1,643 1,664 1,525 28,230 92,049 19,106 11,201 3,849 4,309 3,732 3,242 3,255 2,454 2,348 2,371 2,013 1,941 1,676 1,617 1,513 28,483 93,109 19,396 11,968 4,159 4,150 3,895 3,157 3,113 2,575 2,338 2,322 1,947 1,926 1,628 1,606 1,559 29,270 95,008 Source: BP Statistical Review. Notes: n/a implies data not available. Production includes crude oil and natural gas liquids but excludes liquid fuels from other sources such as biomass and derivatives of coal and natural gas included in consumption. 43 44 APPENDIX B C O M M O D I T Y M A R K E T S O U T L O O K | octo b er 2 0 1 6 Fertilizers—Nitrogen Annual Constant Prices (US$/mt) Monthly Prices (US$/mt) 800 800 600 600 Urea 400 400 Urea, constant 2010 200 200 0 Jan-04 Jan-06 Jan-08 Jan-10 Jan-12 Jan-14 Jan-16 Source: World Bank. Note: Last observation is September 2016. 1970 1,200 838 8,161 n/a 726 45 140 n/a 0 118 n/a 31 1,030 957 1,900 0 594 n/a n/a 16,949 32,690 1980 9,993 2,164 12,053 n/a 1,755 958 572 295 138 401 n/a 72 1,290 1,624 2,380 15 743 n/a n/a 28,500 62,951 Consumption (thousand tonnes nutrients) China India United States Brazil Pakistan Indonesia Canada France Germany Russian Federation Mexico Turkey Australia Vietnam Bangladesh Thailand Ukraine Egypt, Arab Rep. United Kingdom Others World 2,987 1,310 7,363 276 264 184 323 1,425 1,642 n/a 406 243 123 166 99 50 n/a 331 880 13,351 31,423 Urea, nominal 1980 1990 2000 2010 2020 Source: World Bank. Note: 2016-25 are forecasts. Production (thousand tonnes nutrients) China India United States Russian Federation Canada Indonesia Pakistan Qatar Saudi Arabia Egypt, Arab Rep. Ukraine Iran, Islamic Rep. Poland Netherlands Germany Vietnam Belgium Belarus Uzbekistan Others World 0 1970 11,787 3,522 10,818 886 843 851 946 2,146 2,303 n/a 878 782 248 129 266 136 n/a 554 1,240 22,157 60,493 1990 2000 2010 2011 2012 2013 2014 14,637 6,993 10,816 n/a 2,683 2,462 1,120 350 568 678 3,004 376 1,233 1,928 1,165 18 770 747 1,113 21,303 71,964 22,175 10,943 8,352 5,452 3,797 2,853 2,054 748 1,278 1,441 2,130 726 1,497 1,300 1,558 227 935 574 682 17,904 86,624 35,678 12,178 9,587 6,544 3,364 3,207 2,629 1,556 1,695 2,761 2,312 1,524 1,509 1,175 1,289 479 947 740 911 18,031 108,116 36,323 12,288 9,414 6,917 3,565 3,375 2,534 1,480 1,737 2,709 2,985 1,904 1,445 1,322 1,275 503 956 773 864 18,804 111,170 36,056 12,237 10,150 6,605 3,344 3,313 2,232 2,095 1,923 2,474 3,072 2,058 1,529 1,293 1,326 861 932 832 875 18,362 111,568 36,810 12,409 8,494 6,819 3,225 3,442 2,589 2,535 1,920 2,274 2,394 1,975 1,466 1,321 1,316 999 1,053 922 811 18,212 110,987 35,540 12,435 8,679 6,678 3,432 3,406 2,647 2,499 2,119 1,941 1,863 1,784 1,404 1,322 1,316 1,067 1,027 964 925 17,919 108,966 19,233 7,566 10,239 797 1,472 1,610 1,158 2,493 1,787 4,344 1,346 1,200 439 425 609 577 1,836 745 1,516 17,386 76,777 22,720 10,911 10,467 1,998 2,265 1,964 1,592 2,317 1,848 960 1,342 1,276 951 1,332 996 922 350 1,084 1,167 15,609 82,070 32,213 16,558 11,737 2,855 3,143 3,045 1,990 2,337 1,786 1,483 1,166 1,344 982 1,250 1,237 1,311 650 1,159 1,019 16,815 104,080 32,806 17,300 12,231 3,366 3,209 2,940 2,297 2,020 1,640 1,577 1,168 1,259 1,099 1,300 1,122 1,386 1,159 1,207 1,003 16,692 106,781 33,046 16,821 12,188 3,435 2,853 3,063 2,479 2,140 1,648 1,576 1,201 1,432 1,099 1,407 1,112 1,382 1,254 1,087 995 17,205 107,423 33,000 16,731 12,287 3,706 3,179 2,820 2,457 2,178 1,675 1,537 1,518 1,584 1,315 1,261 1,133 1,454 1,219 1,104 1,059 17,968 109,185 32,869 16,816 11,821 3,872 3,315 2,981 2,551 2,163 1,823 1,522 1,501 1,493 1,407 1,354 1,321 1,293 1,181 1,122 1,047 18,255 109,707 Sources: International Fertilizer Industry Association (http://ifadata.fertilizer.org/ucSearch.aspx). Notes: n/a implies data not available. The statistics are based on the nutrient content. All production statistics are expressed on a calendar-year basis, while consumption statistics are expressed either on a calendar- or on a fertilizer-year basis (see www.fertilizers.org for details). C O M M O D I T Y M A R K E T S O U T L O O K | octo b er 2 0 1 6 APPENDIX B 45 Fertilizers—Phosphate and Potash Monthly Prices (US$/mt) Annual Constant 2010 Prices (US$/mt) 1,200 1,000 1,000 800 DAP 800 DAP 600 600 400 400 200 Potassium chloride 200 Potassium chloride 0 Jan-04 Jan-06 Jan-08 Jan-10 Jan-12 Jan-14 Jan-16 Source: World Bank. Note: Last observation is September 2016. 1970 0 1970 1980 1990 2000 2010 2020 Source: World Bank. Note: 2016-25 are forecasts. 1980 1990 Phosphate: production (thousand tonnes nutrients) 2000 2010 2011 2012 2013 2014 China United States India Russian Federation Morocco Brazil Saudi Arabia Indonesia Others World 907 n/a 228 n/a 99 169 0 0 14,279 15,682 2,607 7,437 854 n/a 174 1,623 0 218 20,764 33,677 4,114 8,105 2,077 4,943 1,180 1,091 0 589 14,319 36,417 6,759 7,337 3,751 2,320 1,122 1,496 159 193 9,607 32,744 15,998 6,297 4,378 2,926 1,875 2,004 119 494 8,605 42,697 17,631 6,123 4,370 3,070 2,242 2,011 298 516 7,999 44,260 16,387 6,456 3,825 2,940 2,433 2,183 826 478 8,044 43,571 16,545 5,861 3,973 2,929 2,198 2,100 919 771 8,120 43,415 16,576 6,968 4,113 2,858 2,403 1,990 1,220 702 8,163 44,993 China India Brazil United States Pakistan Indonesia Canada Australia Others World 907 305 416 4,671 31 45 326 757 13,743 21,202 2,952 1,091 1,965 4,926 227 274 634 853 18,990 31,912 5,770 3,125 1,202 3,811 389 581 578 579 19,887 35,920 8,664 4,248 2,544 3,862 675 263 634 1,107 10,815 32,812 12,100 8,050 3,384 3,890 767 500 723 817 10,338 40,569 12,300 7,914 3,860 3,946 633 584 799 873 10,637 41,546 12,400 6,653 4,325 4,289 747 695 831 803 10,772 41,515 11,480 5,695 4,641 4,337 881 963 887 816 11,568 41,268 11,400 5,976 4,752 4,061 975 974 937 909 11,380 41,364 Phosphate: consumption (thousand tonnes nutrients) Potash: production (thousand tonnes nutrients) Canada Russian Federation Belarus China Germany Israel Jordan Chile Others World 3,179 n/a n/a n/a 4,824 576 0 21 8,871 17,471 7,337 n/a n/a 20 6,123 797 0 23 13,307 27,608 7,005 n/a 4,992 46 4,967 1,296 842 41 3,649 22,838 9,174 3,716 3,372 275 3,409 1,748 1,162 408 2,878 26,141 10,289 6,128 5,223 3,101 2,962 1,944 1,166 850 2,043 33,706 9,919 6,526 5,332 3,390 3,106 1,700 1,355 923 2,482 34,733 9,877 5,403 4,831 4,007 3,056 2,100 1,094 1,241 2,409 34,019 9,461 6,086 4,229 4,565 2,968 2,150 1,047 1,187 2,821 34,514 10,636 7,340 6,286 5,680 3,053 2,126 1,255 1,239 2,670 40,285 China Brazil United States India Indonesia Malaysia Belarus Vietnam Others World 25 307 3,827 199 18 61 n/a 38 11,289 15,764 527 1,267 5,733 618 91 250 n/a 39 15,302 23,826 1,761 1,210 4,537 1,309 310 494 986 29 13,685 24,320 3,364 2,760 4,469 1,565 266 650 450 450 8,121 22,095 5,200 3,894 4,165 3,514 1,250 1,150 660 400 7,249 27,483 5,700 4,431 4,186 2,576 1,401 1,250 787 440 7,472 28,243 6,000 4,844 4,385 2,062 1,490 1,290 720 552 7,638 28,980 6,800 5,094 4,806 2,058 1,620 1,290 683 570 8,207 31,128 7,385 5,395 4,418 2,517 1,765 1,397 609 600 8,526 32,611 Potash: consumption (thousand tonnes nutrients) Sources: International Fertilizer Industry Association (http://ifadata.fertilizer.org/ucSearch.aspx). Notes: n/a implies data not available. The statistics are based on the nutrient content. All production statistics are expressed on a calendar-year basis, while consumption statistics are expressed either on a calendar- or on a fertilizer-year basis (see www.fertilizers.org for details). 46 APPENDIX B C O M M O D I T Y M A R K E T S O U T L O O K | octo b er 2 0 1 6 Gold Monthly Prices (US$/toz) Annual Prices (US$/toz) 1,800 1,800 1,500 1,500 1,200 1,200 900 900 600 600 300 300 0 Jan-04 Jan-06 Jan-08 Jan-10 Jan-12 Jan-14 Production (metric tons) China Australia Russian Federation United States Canada South Africa Peru Ghana Mexico Uzbekistan Brazil Argentina Indonesia Colombia Papua New Guinea Kazakhstan Chile Mali Tanzania Others World Fabrication (metric tons) India China Turkey United States Japan Italy Russian Federation South Korea Switzerland Indonesia Egypt, Arab Rep. Malaysia Saudi Arabia Germany United Arab Emirates Brazil Canada Iran, Islamic Rep. Singapore Others World Nominal 0 1970 Jan-16 Source: World Bank. Note: Last observation is September 2016. Constant 2010 1980 1990 2000 2010 2020 Source: World Bank. Note: 2016-25 are forecasts. 1995 2000 2005 2009 2010 2011 2012 2013 2014 136 247 128 317 152 522 56 53 20 70 64 1 63 22 52 11 44 8 0 206 2,174 175 296 144 353 156 428 134 72 24 88 61 26 125 37 73 27 54 29 15 242 2,560 209 263 163 256 121 297 206 67 30 84 38 28 158 36 67 18 40 44 48 291 2,464 314 223 205 223 97 205 184 91 62 73 60 49 128 48 68 23 41 43 39 300 2,477 341 260 201 231 91 191 164 93 79 90 62 64 106 54 67 30 39 39 39 352 2,594 361 258 185 234 100 187 164 88 89 91 65 59 77 56 62 37 45 36 37 404 2,635 403 252 183 235 105 154 162 99 103 93 67 55 69 66 58 40 50 41 40 439 2,713 428 267 230 230 125 169 151 95 120 98 80 52 60 56 63 42 49 41 43 470 2,868 452 274 249 210 152 152 141 136 118 102 78 72 69 57 53 49 46 45 41 555 3,049 426 217 126 245 189 458 n/a 82 47 133 61 78 156 71 30 27 28 37 22 862 3,294 704 213 228 277 161 522 34 107 54 99 107 86 153 64 50 32 25 46 26 772 3,761 695 277 303 219 165 290 61 83 56 87 71 74 125 52 55 26 27 41 30 590 3,325 571 431 111 173 141 135 58 65 38 46 45 45 54 38 36 25 48 38 23 404 2,524 783 523 109 179 158 126 61 68 41 39 43 44 47 41 33 30 44 39 25 363 2,795 761 651 136 167 147 103 66 62 48 39 30 37 37 39 28 29 45 37 24 342 2,828 736 698 114 147 126 96 72 54 48 44 39 35 33 36 28 30 32 37 22 312 2,738 716 1,058 178 160 124 92 74 49 48 52 42 45 41 37 38 33 45 42 25 340 3,238 771 732 156 150 119 96 70 47 46 45 42 41 37 36 36 34 32 32 27 317 2,864 Sources: World Bureau of Metal Statistics and Thomson Reuters. Notes: n/a implies data not available. Fabrication includes the use of scrap. Fabrication of "Saudi Arabia" includes Saudi Arabia and the Republic of Yemen in 1995 and 2000. C O M M O D I T Y M A R K E T S O U T L O O K | octo b er 2 0 1 6 APPENDIX B Iron Ore Monthly Prices (US$/mt) Annual Prices (US$/mt) 200 200 150 150 100 100 50 50 0 Jan-04 Constant 2010 Nominal Jan-06 Jan-08 Jan-10 Jan-12 Jan-14 0 1970 Jan-16 1980 1990 2000 2010 2020 Source: World Bank. Note: 2016-25 are forecasts. Source: World Bank. Note: Last observation is September 2016. 1971 1980 Iron ore production (million metric tons) 1990 2000 2010 2011 2012 2013 2014 Australia Brazil China India Russian Federation Ukraine South Africa United States Iran, Islamic Rep. Canada Sweden Mexico Kazakhstan Chile Mauritania Peru Mongolia Malaysia Turkey Venezuela, RB Liberia Others World 62 38 55 34 n/a n/a 10 82 n/a 43 34 5 n/a 11 8 9 0 1 2 20 23 n/a 781 99 113 113 41 n/a n/a n/a 71 n/a 49 27 8 n/a 9 9 6 0 0 3 14 18 n/a 931 109 152 148 54 n/a n/a 30 55 2 37 20 9 n/a 8 11 3 0 0 6 20 4 n/a 984 176 209 105 75 87 56 34 63 12 36 21 11 15 8 11 4 0 0 4 17 0 14 959 433 372 359 209 99 79 55 50 33 38 25 14 18 10 11 9 3 3 6 14 0 30 1,870 477 397 345 192 104 81 53 55 36 37 26 13 18 12 11 10 6 8 6 20 1 36 1,944 520 380 336 153 103 81 59 54 39 39 27 15 17 12 12 11 6 8 7 15 3 36 1,931 609 391 266 136 102 84 61 52 48 42 27 19 19 12 13 7 7 14 8 8 4 47 1,977 724 399 193 130 101 82 67 54 48 44 28 17 16 13 13 11 10 9 7 6 5 23 2,001 China Japan United States India Korea, Rep. Russian Federation Germany Turkey Brazil Ukraine Italy Taiwan, China Mexico Iran, Islamic Rep. France Spain Canada Others World 21 89 109 6 0 n/a 40 1 6 n/a 17 0 4 0 23 8 11 n/a 583 37 111 101 10 9 n/a 44 3 15 n/a 27 3 7 1 23 13 16 n/a 716 66 110 90 15 23 n/a 38 9 21 n/a 25 10 9 1 19 13 12 n/a 770 129 106 102 27 43 59 46 14 28 32 27 17 16 7 21 16 17 143 849 639 110 80 69 59 67 44 29 33 33 26 20 17 12 15 16 13 151 1,433 702 108 86 73 69 69 44 34 35 35 29 20 18 13 16 16 13 158 1,538 731 107 89 77 69 70 43 36 35 33 27 21 18 14 16 14 14 147 1,560 822 111 87 81 66 69 43 35 34 33 24 22 18 15 16 14 12 148 1,650 823 111 88 87 72 71 43 34 34 27 24 23 19 16 16 14 13 155 1,670 Crude steel production (million metric tons) Source: Steel Statistical Yearbook. Notes: n/a implies data not available. 47 48 APPENDIX B C O M M O D I T Y M A R K E T S O U T L O O K | octo b er 2 0 1 6 Lead Annual Prices (US$/mt) Monthly Prices (US$/mt) 3,000 4,000 2,500 Constant 2010 3,000 2,000 2,000 1,500 1,000 1,000 500 0 Jan-04 Jan-06 Jan-08 Jan-10 Jan-12 Jan-14 0 1970 Jan-16 1980 1990 Mine Production (thousand metric tons) 160 398 562 189 146 n/a 15 72 16 48 8 125 12 n/a 3,595 364 570 493 188 174 n/a 26 84 20 45 18 70 9 n/a 3,150 Refined Production (thousand metric tons) China United States Korea, Rep. India Germany United Kingdom Mexico Canada Japan Australia Italy Spain Brazil Others World 175 1,151 15 26 392 325 149 231 305 234 134 121 85 2,083 5,424 297 1,291 80 39 394 329 238 184 327 229 171 124 76 1,683 5,460 Refined Consumption (thousand metric tons) China United States Korea, Rep. India Germany Japan Italy Spain Brazil Others World 1980 1990 2000 2010 2020 Source: World Bank. Note: 2016-25 are forecasts. Source: World Bank. Note: Last observation is September 2016. China Australia United States Peru Mexico Russian Federation India Sweden Bolivia Poland Turkey Korea, Dem. People’s Rep. Iran, Islamic Rep. Others World Nominal 210 1,094 54 33 433 393 275 111 83 2,663 5,348 244 1,275 80 147 448 416 258 115 75 2,290 5,348 2000 2005 2010 2012 2013 2014 2015 660 678 447 271 138 13 38 107 10 51 16 26 17 610 3,080 1,142 767 437 319 134 36 60 61 11 51 19 20 22 372 3,453 1,981 712 356 262 192 97 91 68 73 48 39 27 32 396 4,374 2,613 639 336 249 238 151 115 64 81 73 54 38 36 427 5,115 2,697 711 343 266 253 165 106 60 82 74 78 59 40 384 5,317 2,853 728 385 278 250 194 105 71 76 77 65 45 45 388 5,561 2,340 689 375 316 254 188 139 79 79 77 77 48 46 352 5,059 1,100 1,431 222 57 387 328 332 284 312 223 237 120 86 1,582 6,701 2,359 1,293 254 56 342 304 272 230 275 267 211 110 121 1,572 7,665 4,157 1,255 321 366 405 301 317 273 267 210 150 163 115 1,531 9,832 4,591 1,221 460 461 426 312 334 279 259 206 138 160 165 1,572 10,585 4,935 1,308 522 462 400 296 321 284 252 233 180 160 152 1,675 11,180 4,740 1,120 670 477 380 267 313 282 240 226 210 162 160 1,670 10,917 3,858 1,127 616 442 377 351 310 269 232 223 210 162 160 1,768 10,106 660 1,660 309 56 390 343 283 219 155 2,416 6,491 1,974 1,490 376 139 330 291 262 279 189 2,447 7,777 4,171 1,430 382 420 343 224 245 262 201 2,130 9,807 4,618 1,360 429 524 381 273 195 244 238 2,126 10,388 4,927 1,750 550 428 392 252 235 257 234 2,195 11,222 4,718 1,670 601 521 337 254 258 245 229 2,121 10,955 3,816 1,608 536 484 357 263 232 228 224 2,227 9,976 Source: World Bureau of Metal Statistics. Notes: n/a implies data not available. Refined production and consumption include significant recyled material. C O M M O D I T Y M A R K E T S O U T L O O K | octo b er 2 0 1 6 APPENDIX B Maize Monthly Prices (US$/mt) Annual Prices (US$/mt) 400 400 300 300 200 200 100 100 Constant 2010 Nominal 0 Jan-04 Jan-06 Jan-08 Jan-10 Jan-12 Jan-14 Source: World Bank. Note: Last observation is September 2016. Production (million metric tons) 105.5 33.0 14.1 29.8 9.9 n/a 8.9 7.5 n/a 8.6 2.6 2.8 2.0 73.1 297.9 Stocks (million metric tons) China United States Brazil Mexico Iran, Islamic Rep. Others World 8.9 16.8 2.0 0.5 0.0 7.9 36.1 Exports (million metric tons) United States Brazil Argentina Ukraine Russian Federation Paraguay Serbia Others World 12.9 0.9 6.4 n/a n/a 0.0 0.0 11.9 32.2 Imports (million metric tons) Japan Mexico European Union Korea, Rep. Egypt, Arab Rep. Vietnam Iran, Islamic Rep. Others World 1980 1990 2000 2010 2020 Source: World Bank. Note: 2016-25 are forecasts. 1970/71 United States China Brazil European Union Argentina Ukraine Mexico India Russian Federation South Africa Canada Indonesia Philippines Others World 0 1970 Jan-16 5.2 0.1 18.9 0.3 0.1 0.1 0.0 22.6 47.3 1980/81 1990/91 2000/01 2010/11 2013/14 2014/15 2015/16 2016/17 168.6 62.6 22.6 42.5 12.9 n/a 10.4 7.0 n/a 14.9 5.8 4.0 3.1 96.9 451.3 201.5 96.8 24.3 36.5 7.7 4.7 14.1 9.0 2.5 8.6 7.1 5.0 5.1 95.4 518.4 251.9 106.0 41.5 51.8 15.4 3.8 17.9 12.0 1.5 8.0 7.0 5.9 4.5 64.4 591.7 315.6 177.2 57.4 58.6 25.2 11.9 21.1 21.7 3.1 10.9 12.0 6.8 7.3 107.0 835.9 351.3 218.5 80.0 64.9 26.0 30.9 22.9 24.3 11.6 14.9 14.2 9.1 7.5 114.7 990.8 361.1 215.6 85.0 75.8 28.7 28.5 25.5 24.2 11.3 10.6 11.5 9.0 7.7 119.9 1014.4 345.5 224.6 67.0 58.5 28.0 23.3 25.8 21.8 13.2 7.9 13.6 9.3 7.5 113.2 959.1 382.5 216.0 83.5 60.3 36.5 26.0 24.5 24.5 14.0 13.0 12.5 9.6 7.9 114.9 1025.7 42.8 35.4 1.3 2.0 0.1 20.9 102.5 82.8 38.6 0.8 1.8 0.0 17.4 141.4 102.4 48.2 2.7 2.8 0.9 18.3 175.3 49.4 28.6 6.3 1.1 2.8 35.3 123.6 81.3 31.3 14.0 2.6 4.5 41.6 175.3 100.5 44.0 7.8 4.1 5.7 46.8 208.9 110.7 44.1 5.3 5.8 6.1 38.0 210.1 103.7 58.9 5.9 5.8 5.3 37.1 216.8 60.7 0.0 9.1 n/a n/a 0.0 0.0 10.5 80.3 43.9 0.0 4.0 0.4 0.4 0.0 0.0 9.8 58.4 49.3 6.3 9.7 0.4 0.0 0.6 0.0 10.5 76.7 46.5 8.4 16.3 5.0 0.0 1.6 2.0 11.4 91.3 48.8 21.0 17.1 20.0 4.2 2.4 1.8 16.0 131.2 47.4 34.5 18.9 19.7 3.2 3.3 3.0 11.8 141.7 48.2 16.5 19.5 16.5 4.4 2.3 1.6 10.5 119.5 56.5 25.5 25.0 17.7 4.5 2.3 2.2 10.1 143.8 14.0 3.8 26.6 2.4 1.0 0.1 0.4 52.6 100.9 16.3 1.9 5.7 5.6 1.9 0.0 0.8 32.0 64.3 16.3 6.0 3.7 8.7 5.3 0.1 1.3 33.5 74.9 15.6 8.3 7.4 8.1 5.8 1.3 3.5 42.7 92.7 15.1 10.9 16.0 10.4 8.7 3.5 5.5 54.9 125.1 14.7 11.3 8.6 10.2 7.8 5.0 6.1 61.2 124.9 15.0 13.8 13.4 10.3 8.5 8.0 6.6 63.1 138.7 15.0 13.8 13.5 10.0 8.8 6.5 6.0 60.1 133.6 Source: U.S. Department of Agriculture (October 2016 update). Notes: n/a implies data not available. The trade year is January-December of the later year of the split. For example, 1970/71 refers to calendar year 1971. 49 50 APPENDIX B C O M M O D I T Y M A R K E T S O U T L O O K | octo b er 2 0 1 6 Natural gas Monthly Prices (US$/mmbtu) Annual Constant Prices (US$/mmbtu) 20 20 Japan Japan 15 15 10 10 Europe Europe 5 5 US 0 Jan-04 Jan-06 Jan-08 Jan-10 Jan-12 Jan-14 Source: World Bank. Note: Last observation is September 2016. Production (billion cubic metres) 595 n/a 4 1 57 3 0 2 3 1 n/a 0 2 n/a 1 11 0 0 27 3 0 10 2 n/a 992 Consumption (billion cubic metres) United States Russian Federation China Iran, Islamic Rep. Japan Saudi Arabia Canada Mexico Germany United Arab Emirates United Kingdom Italy Thailand India Uzbekistan Others World Source: BP Statistical Review. Note: n/a implies data not available. 1990 2000 2010 2020 Source: World Bank. Note: 2016-25 are forecasts. 1970 United States Russian Federation Iran, Islamic Rep. Qatar Canada China Norway Saudi Arabia Algeria Indonesia Turkmenistan Malaysia Australia Uzbekistan United Arab Emirates Mexico Nigeria Egypt, Arab Rep. Netherlands Pakistan Thailand United Kingdom Trinidad and Tobago Others World US 0 1980 Jan-16 599 n/a 3 3 3 2 36 10 15 1 11 14 0 1 n/a n/a 979 1980 1990 2000 2010 2012 2013 2014 2015 549 n/a 5 5 75 15 25 10 15 19 n/a 2 11 n/a 8 26 2 2 76 7 0 35 3 n/a 1,435 504 590 26 6 109 16 25 34 49 44 79 17 20 37 20 27 4 8 61 12 7 45 5 235 1,982 543 529 60 25 182 28 50 50 88 70 43 47 32 51 38 38 12 21 58 22 20 108 16 292 2,421 604 589 152 131 160 99 107 88 80 86 42 61 53 54 51 58 37 61 70 42 36 57 45 444 3,209 681 592 166 157 156 112 115 99 82 77 62 61 56 57 54 57 43 61 64 44 41 39 43 443 3,363 685 605 167 178 156 122 109 100 82 76 62 67 58 57 55 58 36 56 69 43 42 36 43 449 3,411 729 582 182 174 162 132 109 102 83 75 69 67 61 57 54 57 45 49 56 42 42 37 42 455 3,463 767 573 192 181 164 138 117 106 83 75 72 68 67 58 56 53 50 46 43 42 40 40 40 467 3,539 563 n/a 15 5 24 10 52 23 58 5 45 25 0 1 n/a n/a 1,433 543 408 16 24 48 34 67 28 61 17 52 43 7 12 36 562 1,956 661 360 25 63 72 50 93 41 79 31 97 65 22 26 46 691 2,422 682 414 111 153 95 88 95 72 84 61 94 76 45 61 41 1,029 3,201 723 416 151 162 117 99 100 80 77 66 74 68 51 58 47 1,043 3,333 741 413 172 163 117 100 104 83 81 67 73 64 52 50 47 1,065 3,393 756 412 188 180 118 102 104 87 71 66 67 56 53 51 49 1,050 3,410 778 391 197 191 113 106 102 83 75 69 68 61 53 51 50 1,078 3,469 C O M M O D I T Y M A R K E T S O U T L O O K | octo b er 2 0 1 6 APPENDIX B Natural rubber Monthly Prices (US$/kg) Annual Prices (US$/kg) 7 6 6 5 5 4 4 3 3 Constant 2010 2 2 1 1 0 Jan-04 Jan-06 Jan-08 Jan-10 Jan-12 Jan-14 0 1970 Jan-16 Source: World Bank. Note: Last observation is September 2016. 1970 Production (thousand metric tons) Thailand Indonesia Vietnam China Malaysia India Côte d’Ivoire Myanmar Others World 287 815 28 46 1,269 90 11 10 584 3,140 250 991 86 568 283 8 25 20 37 26 796 3,090 Exports (thousand metric tons) Thailand Indonesia Vietnam Malaysia Côte d’Ivoire Others World 279 790 23 1,304 11 413 2,820 Imports (thousand metric tons) China European Union Malaysia United States Japan India Korea, Rep. Brazil Others World 178 1,071 45 543 292 3 26 11 641 2,810 1980 1990 2000 2010 2020 Source: World Bank. Note: 2016-25 are forecasts. 1980 1990 2000 2010 2012 2013 2014 2015 501 822 46 113 1,530 155 23 16 644 3,850 1,275 1,261 94 264 1,291 324 69 15 392 4,985 2,346 1,501 291 445 928 629 123 36 513 6,811 3,252 2,736 752 687 939 851 231 128 827 10,403 3,778 3,012 877 802 923 919 254 164 929 11,658 4,170 3,237 949 865 827 796 289 177 971 12,281 4,324 3,153 954 840 668 705 317 198 977 12,136 4,473 3,145 1,017 794 722 575 351 212 989 12,278 340 1,007 171 585 427 28 46 45 81 118 932 3,780 600 1,012 358 808 677 99 108 184 124 255 845 5,068 1,150 1,293 638 1,195 752 243 139 364 227 332 975 7,306 3,622 1,136 944 926 749 487 421 458 378 384 1,253 10,759 3,890 1,076 988 950 728 505 465 441 343 396 1,264 11,046 4,270 1,060 962 913 710 521 509 434 409 396 1,246 11,430 4,804 1,139 1,015 932 709 541 540 447 422 402 1,230 12,181 4,680 1,159 987 936 691 601 579 475 405 388 1,246 12,146 457 976 33 1,482 23 299 3,270 1,151 1,077 80 1,322 69 263 3,962 2,166 1,380 273 978 121 359 5,277 2,866 2,369 782 1,245 226 558 8,047 3,175 2,525 1,023 1,291 255 602 8,871 3,752 2,770 1,076 1,332 285 672 9,887 3,729 2,662 1,066 1,192 323 882 9,854 3,776 2,680 1,138 1,119 348 1,147 10,208 242 1,068 43 576 458 1 118 56 673 3,235 340 1,072 136 820 663 61 254 95 1,328 4,769 820 1,474 548 1,192 801 11 331 139 1,065 6,380 2,888 1,427 706 931 747 187 388 249 1,157 8,681 3,426 1,459 871 969 700 250 397 181 1,307 9,561 3,975 1,451 1,005 927 722 336 396 224 1,236 10,271 4,096 1,546 914 946 689 424 403 230 1,251 10,499 4,200 1,536 955 952 682 414 388 208 1,354 10,689 Consumption (thousand metric tons) China European Union India United States Japan Thailand Indonesia Malaysia Brazil Korea, Rep. Others World Nominal Source: International Rubber Study Group (July-September 2016 update). 51 52 APPENDIX B C O M M O D I T Y M A R K E T S O U T L O O K | octo b er 2 0 1 6 Nickel Monthly Prices (US$/mt) Annual Prices (US$/mt) 50,000 60,000 Constant 2010 40,000 45,000 30,000 30,000 20,000 15,000 10,000 Nominal 0 Jan-04 Jan-06 Jan-08 Jan-10 Jan-12 Jan-14 Jan-16 Source: World Bank. Note: Last observation is September 2016. 1990 2000 Mine Production (thousand metric tons) 38 n/a 189 74 87 41 11 3 26 38 0 7 0 n/a 749 16 n/a 196 67 85 69 33 13 30 41 0 0 0 n/a 888 Refined Production (thousand metric tons) China Russian Federation Japan Canada Australia Norway New Caledonia Brazil Madagascar Finland United Kingdom Korea, Rep. Colombia Others World 11 n/a 109 145 35 37 33 3 0 13 19 0 0 n/a 743 28 n/a 103 127 43 58 32 13 0 17 27 0 18 n/a 858 Refined Consumption (thousand metric tons) China Japan United States Taiwan, China Korea, Rep. Italy Germany India Belgium Others World Source: World Bureau of Metal Statistics. Note: n/a implies data not available. 1980 1990 2000 2010 2020 Source: World Bank. Note: 2016-25 are forecasts. 1980 Philippines Russian Federation Canada Australia New Caledonia Indonesia China Brazil South Africa Cuba Madagascar Guatemala Colombia Others World 0 1970 18 122 142 0 0 27 78 12 4 315 717 28 159 127 18 24 27 93 14 21 330 842 2005 2010 2012 2013 2014 2015 17 266 191 170 129 117 51 32 37 71 0 0 28 82 1,191 27 289 200 186 112 156 59 38 42 74 0 0 53 120 1,356 184 274 160 170 130 216 80 54 40 65 0 0 49 95 1,518 318 269 212 244 132 622 93 90 46 65 6 2 52 117 2,266 316 264 223 256 150 811 93 74 51 62 25 9 49 118 2,504 411 264 235 245 178 146 92 86 55 50 37 36 41 131 2,006 317 264 235 220 186 106 92 83 57 49 47 46 37 145 1,884 52 242 161 134 112 59 44 23 0 54 38 0 28 164 1,110 97 264 164 140 122 85 47 30 0 41 38 0 53 208 1,288 314 263 166 105 102 92 40 28 0 49 32 23 49 174 1,437 591 254 170 152 129 92 45 59 6 46 39 24 52 200 1,858 711 242 178 153 142 91 48 56 25 44 42 28 49 194 2,005 644 239 178 151 138 91 62 73 37 43 39 25 41 186 1,946 575 233 193 163 128 91 78 72 47 43 39 37 37 181 1,916 58 192 153 106 91 53 102 23 32 342 1,150 197 180 128 84 118 85 116 16 50 344 1,317 489 177 119 73 101 62 100 27 21 257 1,427 805 159 126 57 108 65 89 33 19 275 1,734 909 159 123 53 107 59 66 37 26 259 1,798 761 157 152 66 100 60 62 27 29 285 1,700 964 159 152 87 83 60 60 37 35 295 1,933 C O M M O D I T Y M A R K E T S O U T L O O K | octo b er 2 0 1 6 APPENDIX B Palm oil and Soybean oil Monthly Prices (US$/mt) Annual Constant Prices (US$/mt) 2,200 1,700 Soybean oil 1,400 1,800 1,400 1,100 Soybean oil 1,000 800 Palm oil 500 600 200 Jan-04 200 1970 Palm oil Jan-06 Jan-08 Jan-10 Jan-12 Jan-14 Jan-16 Source: World Bank. Note: Last observation is September 2016. 1970/71 1980/81 248 589 0 36 432 5 0 0 21 0 591 1,922 1 29 595 53 1 8 1,707 2,394 181 3,749 0 0 1,260 2 52 10 2,205 7,459 179 2,854 0 79 0 1,170 52 40 2,754 7,128 2020 2013/14 2014/15 2015/16 2016/17 2,650 6,031 200 252 600 150 64 145 24 6 912 11,034 8,300 11,937 580 520 730 222 148 336 108 124 1,234 24,239 23,600 18,211 1,832 753 971 380 320 488 426 231 1,980 49,192 30,500 20,161 2,000 1,041 970 497 460 500 493 434 2,218 59,274 33,000 19,879 2,068 1,110 970 477 470 520 495 448 2,196 61,633 32,000 17,700 2,100 1,273 970 500 490 580 500 470 2,259 58,842 35,000 20,000 2,300 1,280 970 560 545 522 520 515 2,283 64,495 259 1,330 1,509 1,194 800 914 6,658 12,664 4,100 3,263 2,790 2,028 1,245 1,571 8,603 23,600 7,090 6,269 5,110 5,797 2,050 2,204 19,018 47,538 8,452 8,750 6,850 5,700 2,490 2,869 22,944 58,055 9,250 7,420 6,730 5,700 2,690 2,941 23,665 58,396 9,600 8,570 6,600 4,750 3,045 3,144 24,593 60,302 10,400 9,100 6,520 5,150 3,245 3,170 25,716 63,301 3,240 8,355 3,190 4,333 3,033 805 795 174 2,887 26,812 9,840 8,568 7,181 6,970 2,362 1,691 648 300 3,921 41,481 12,335 9,131 6,785 7,070 2,501 1,460 720 640 4,448 45,090 13,347 9,706 7,687 7,760 2,553 1,210 745 697 5,328 49,033 14,569 9,961 8,415 7,660 2,698 1,059 775 705 5,804 51,646 15,501 10,217 8,440 7,750 2,810 1,353 800 725 6,296 53,892 3,542 7,401 2,932 2,080 247 2,186 863 503 6,693 26,447 11,409 7,506 5,205 2,655 2,520 2,530 840 388 7,649 40,702 13,650 8,576 5,705 3,309 2,729 1,908 890 530 7,871 45,168 14,200 8,600 6,265 4,056 2,501 1,970 1,001 650 8,683 47,926 15,300 9,117 6,265 5,100 2,580 2,000 1,050 710 9,276 51,398 16,200 9,320 6,320 5,000 2,815 2,000 1,075 825 9,684 53,239 752 2,692 19 80 520 44 18 45 19 0 707 4,896 431 561 607 16 231 420 3,104 5,370 183 5,112 158 2,601 2,478 69 255 6 4,191 15,053 599 6,082 1,179 2,669 2,317 425 330 56 4,425 18,082 Soybean oil: consumption (thousand metric tons) China United States Brazil India Argentina European Union Mexico Bangladesh Others World 2010 2010/11 Soybean oil: production (thousand metric tons) China United States Argentina Brazil European Union India Mexico Paraguay Others World 2000 2000/01 Palm oil: consumption (thousand metric tons) India Indonesia European Union China Pakistan Malaysia Others World 1990 1990/91 Palm oil: production (thousand metric tons) Indonesia Malaysia Thailand Colombia Nigeria Ecuador Honduras Papua New Guinea Ghana Guatemala Others World 1980 Source: World Bank. Note: 2016-25 are forecasts. 256 4,134 1,490 708 56 1,926 305 28 5,435 14,338 1,055 5,506 2,075 445 101 1,879 404 235 5,613 17,313 Source: U.S. Department of Agriculture (October 2016 update). Notes: The trade year is January-December of the later year of the split. For example, 1970/71 refers to calendar year 1971. 53 54 APPENDIX B C O M M O D I T Y M A R K E T S O U T L O O K | octo b er 2 0 1 6 Platinum Monthly Prices (US$/toz) Annual Prices (US$/toz) 2,500 2,500 2,000 2,000 1,500 1,500 1,000 1,000 500 500 Constant 2010 0 Jan-04 Jan-06 Jan-08 Jan-10 Jan-12 Jan-14 Jan-16 Source: World Bank. Note: Last observation is September 2016. Old jewelery scrap (metric tons) China Japan North America Europe Others World TOTAL SUPPLY (metric tons) 1990 2000 2010 2020 2003 2005 2008 2009 2010 2011 2012 2013 2014 146.1 25.9 4.3 4.6 4.2 2.3 187.4 157.2 29.9 5.0 7.2 3.9 2.8 206.0 145.4 25.8 5.6 7.1 3.6 4.0 191.5 143.2 24.7 7.1 5.3 3.8 4.0 188.1 147.7 24.4 8.9 4.0 3.5 3.8 192.3 147.3 25.4 10.6 8.4 3.7 3.7 199.1 130.3 25.0 10.4 6.9 3.7 4.2 180.5 133.3 23.8 12.7 6.8 3.7 4.8 185.1 95.2 22.3 12.4 7.7 3.7 4.8 146.1 3.9 15.1 2.1 n/a 1.8 22.9 5.4 15.6 1.7 0.1 2.3 25.1 9.2 17.3 2.1 0.2 2.5 31.3 8.0 12.2 1.7 0.3 2.2 24.4 9.3 14.0 1.9 0.4 2.5 28.1 10.8 14.8 1.7 0.5 3.1 30.9 9.7 12.8 1.8 0.7 3.8 28.8 11.6 14.4 1.8 0.9 3.9 32.6 13.4 12.1 2.1 1.1 4.1 32.8 0.9 4.0 0.1 0.1 0.1 5.2 215.5 5.1 6.0 0.2 0.1 0.1 11.5 242.6 10.4 18.0 1.3 0.4 0.0 30.1 252.8 5.5 8.5 1.0 0.4 0.0 15.4 228.0 6.7 8.7 0.4 0.3 0.1 16.2 236.6 7.5 10.7 0.3 0.2 0.1 18.8 248.9 7.3 8.0 0.3 0.2 0.1 15.9 225.2 7.3 7.3 0.3 0.2 0.2 15.3 233.0 7.8 7.6 0.3 0.2 0.2 16.1 195.0 Autocatalyst scrap (metric tons) Europe North America Japan China Others World Nominal 1980 Source: World Bank. Note: 2016-25 are forecasts. Mine production (metric tons) South Africa Russian Federation Zimbabwe Canada United States Others World 0 1970 Autocatalyst demand (metric tons) Europe North America China Japan Others World 41.3 26.8 4.7 16.6 8.0 97.4 56.1 23.3 5.5 18.1 12.5 115.5 56.2 17.5 5.8 16.1 13.9 109.5 39.8 10.8 5.9 9.6 11.9 78.0 43.9 12.0 6.9 11.4 17.1 91.3 46.2 14.1 6.2 9.4 19.0 94.9 39.5 14.3 5.8 10.0 21.0 90.6 38.5 14.4 7.0 9.0 21.2 90.1 40.0 14.0 8.8 8.7 21.9 93.4 China Japan North America Europe Others World 46.1 21.3 9.9 8.5 2.4 88.2 35.0 20.5 8.1 7.9 1.2 72.7 34.5 7.7 6.4 7.4 1.4 57.4 60.8 8.4 5.6 6.9 1.6 83.3 44.8 8.1 6.6 6.8 2.2 68.5 49.4 8.8 6.8 6.7 2.6 74.3 54.0 9.9 7.0 6.6 3.3 80.8 55.2 10.2 7.3 6.6 3.4 82.7 52.3 10.0 7.6 6.4 3.6 79.9 15.8 11.1 n/a 9.9 14.0 50.8 236.4 15.8 9.5 4.7 13.2 14.0 57.2 245.4 15.2 10.1 9.1 18.2 18.4 71.0 237.9 14.7 8.9 1.0 9.0 15.0 48.6 209.9 12.2 10.1 10.1 10.2 20.7 63.3 223.1 12.5 9.7 7.5 13.5 20.9 64.1 233.3 14.3 10.3 11.3 11.0 13.7 60.6 232.0 13.9 9.7 10.9 1.7 13.5 49.7 222.5 14.7 10.8 8.4 2.7 16.7 53.3 226.6 Jewelery demand (metric tons) Other demand (metric tons) North America Europe China Japan Others World TOTAL DEMAND (metric tons) Sources: Platinum & Palladium Survey, Thomson Reuters. C O M M O D I T Y M A R K E T S O U T L O O K | octo b er 2 0 1 6 APPENDIX B Rice Monthly Prices (US$/mt) Annual Prices (US$/mt) 1,000 1,500 800 1,200 600 900 400 600 200 300 Constant 2010 Nominal 0 Jan-04 Jan-06 Jan-08 Jan-10 Jan-12 Jan-14 Jan-16 Source: World Bank. Note: Last observation is September 2016. 1970/71 China India Thailand Indonesia Japan United States Others World 2000 2010 2020 1990/91 2000/01 2010/11 2013/14 2014/15 2015/16 2016/17 97.9 53.6 22.3 13.9 7.7 11.5 6.7 5.0 5.9 8.9 4.8 3.1 1.1 27.6 269.9 132.5 74.3 29.0 17.9 12.4 11.3 7.9 6.4 6.8 9.6 5.1 3.3 1.6 33.3 351.4 131.5 85.0 33.0 25.1 20.5 17.1 10.8 8.1 6.9 8.6 5.9 4.8 2.5 39.4 399.2 137.0 96.0 35.5 31.7 26.4 20.3 11.1 10.5 9.3 7.8 7.6 4.8 4.2 48.3 450.4 142.5 106.6 36.3 34.4 28.2 20.5 12.0 11.9 8.3 7.9 6.1 6.8 4.7 52.3 478.4 144.6 105.5 35.6 34.5 28.2 18.8 12.6 11.9 8.5 7.8 7.1 6.9 4.7 52.2 478.7 145.8 104.3 36.2 34.5 27.5 15.8 12.2 11.4 7.2 7.7 6.1 6.7 4.7 52.1 472.1 146.5 106.5 36.6 34.5 27.8 18.6 12.5 12.0 8.0 7.7 7.5 6.9 4.7 53.4 483.3 28.0 6.5 2.0 3.0 4.0 0.5 8.5 52.6 94.0 14.5 0.9 2.1 1.0 0.8 13.4 126.7 93.0 25.0 2.2 4.6 2.6 0.9 18.3 146.7 42.6 23.5 5.6 7.1 2.9 1.5 16.8 100.0 53.1 22.8 12.0 5.5 3.0 1.0 16.6 114.0 57.4 17.8 10.8 4.1 2.8 1.6 20.1 114.6 63.7 17.8 7.9 3.5 2.5 1.5 18.7 115.6 70.9 17.3 6.6 3.7 2.1 1.9 18.2 120.7 0.0 1.6 0.0 0.2 1.5 5.2 8.5 0.9 3.0 0.0 1.2 3.1 4.2 12.4 0.7 4.0 1.0 1.3 2.3 2.8 12.1 1.7 7.5 3.5 2.4 2.6 6.2 24.0 2.8 10.6 7.0 3.4 3.5 7.8 35.1 10.6 11.0 6.3 4.0 3.0 8.1 43.0 12.2 9.8 6.6 3.8 3.1 8.1 43.6 10.3 9.2 5.4 4.2 3.4 7.6 40.1 10.0 9.5 5.8 4.2 3.6 8.2 41.2 0.0 0.0 0.9 0.2 0.5 0.0 0.1 0.4 6.5 8.6 0.2 0.4 0.5 0.4 0.5 0.0 0.3 0.2 9.4 11.8 0.1 0.2 0.7 0.5 0.2 0.4 0.3 0.3 8.7 11.3 0.3 1.3 1.2 1.0 1.5 1.4 0.5 0.6 14.4 22.1 0.5 2.4 1.4 1.1 3.1 1.3 0.9 1.1 21.3 33.1 4.0 2.8 1.5 1.5 1.2 1.2 0.8 1.0 24.6 38.6 4.7 2.6 1.7 1.6 1.4 1.8 1.3 1.1 25.0 41.1 4.8 2.1 1.8 1.6 1.2 1.6 1.3 1.0 23.1 38.3 5.0 2.0 1.8 1.6 1.3 1.2 1.2 1.1 23.7 38.7 11.0 6.0 1.2 0.6 6.1 0.6 3.4 28.8 Exports (million metric tons) India Thailand Vietnam Pakistan United States Others World Imports (million metric tons) China Nigeria European Union Saudi Arabia Indonesia Philippines Cote d’Ivoire Malaysia Others World 1990 1980/81 77.0 42.2 13.1 11.1 6.4 9.0 5.1 3.4 3.7 11.5 2.8 2.2 2.5 22.9 213.0 Stocks (million metric tons) 1980 Source: World Bank. Note: 2016-25 are forecasts. Production (million metric tons) China India Indonesia Bangladesh Vietnam Thailand Myanmar Philippines Brazil Japan United States Pakistan Cambodia Others World 0 1970 Source: U.S. Department of Agriculture (October 2016 update). Notes: The trade year is January-December of the later year of the split. For example, 1970/71 refers to calendar year 1971. 55 56 APPENDIX B C O M M O D I T Y M A R K E T S O U T L O O K | octo b er 2 0 1 6 Silver Monthly Prices (US$/toz) Annual Prices (US$/toz) 50 50 40 40 30 30 20 20 Constant 2010 10 10 0 Jan-04 Jan-06 Jan-08 Jan-10 Source: World Bank. Note: Last observation is September 2016. Production (metric tons) Mexico Peru China Australia Chile Russian Federation Bolivia Poland United States Kazakhstan Argentina Guatemala Canada Sweden India Morocco Turkey Finland Dominican Republic Others World Fabrication (metric tons) India China Italy Thailand United States Mexico Russian Federation Indonesia Turkey South Korea Germany Brazil Japan France Vietnam Israel Iran, Islamic Rep. Spain Bangladesh Others World Jan-12 Jan-14 0 1970 Jan-16 Nominal 1980 1990 2000 2010 2020 Source: World Bank. Note: 2016-25 are forecasts. 1995 2000 2005 2009 2010 2011 2012 2013 2014 2,334 1,881 1,000 920 1,036 250 425 1,001 1,565 371 48 0 1,285 268 38 204 70 29 21 1,436 14,183 2,483 2,418 1,600 2,060 1,245 400 434 1,164 2,017 927 78 0 1,204 329 40 290 110 24 n/a 1,372 18,194 2,894 3,193 2,500 2,417 1,400 1,350 420 1,262 1,230 883 264 7 1,124 310 32 186 80 47 n/a 1,099 20,697 3,554 3,854 2,900 1,633 1,301 1,313 1,326 1,207 1,250 618 533 129 631 289 138 210 352 70 19 1,002 22,328 4,411 3,640 3,085 1,880 1,276 1,145 1,259 1,183 1,280 552 723 195 596 302 165 243 348 65 23 1,069 23,440 4,778 3,414 3,232 1,725 1,311 1,134 1,214 1,167 1,120 651 641 273 572 302 203 227 292 73 19 1,042 23,389 5,358 3,481 3,639 1,728 1,151 1,400 1,207 1,149 1,060 963 750 205 705 309 374 230 236 128 23 1,088 25,185 5,821 3,674 3,673 1,840 1,174 1,412 1,287 1,403 1,050 964 768 284 618 341 367 255 187 101 80 1,061 26,362 5,766 3,777 3,673 1,847 1,572 1,412 1,345 1,200 1,160 982 905 857 493 401 338 277 187 148 128 954 27,422 n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a 1,333 1,054 1,230 1,145 487 511 138 140 258 147 213 50 64 55 32 59 50 61 46 886 7,959 1,164 1,457 806 946 362 355 263 150 175 150 166 57 65 59 40 46 44 41 45 784 7,175 1,233 1,681 802 947 400 344 291 168 153 167 169 64 70 64 45 42 43 37 43 774 7,537 1,194 1,952 599 798 370 450 240 190 134 179 159 50 69 73 49 32 40 37 41 683 7,339 1,196 2,029 540 662 342 428 228 207 139 183 147 50 72 67 50 29 37 32 40 676 7,154 2,248 2,266 559 692 381 281 225 215 162 186 134 94 75 56 49 34 39 29 28 674 8,427 3,058 1,642 614 611 419 261 223 206 192 167 131 82 70 54 52 37 34 30 30 667 8,580 Sources: World Bureau of Metal Statistics and Thomson Reuters. Notes: n/a implies data not available. Fabrication: jewelry and silverware including the use of scrap. C O M M O D I T Y M A R K E T S O U T L O O K | octo b er 2 0 1 6 APPENDIX B Soybeans Annual Prices (US$/mt) Monthly Prices (US$/mt) 1,000 800 800 600 600 Constant 2010 400 400 200 200 Jan-04 Jan-06 Jan-08 Jan-10 Jan-12 Jan-14 Production (million metric tons) 30.7 0.0 0.0 8.7 0.0 0.1 0.3 n/a 0.0 0.0 2.4 42.1 Crushings (million metric tons) China United States Argentina Brazil European Union India Mexico Russian Federation Paraguay Bolivia Others World 1.5 20.7 0.0 0.0 7.3 0.0 0.3 n/a 0.1 0.0 12.7 42.5 Exports (million metric tons) Brazil United States Argentina Paraguay Canada Others World 0.0 11.8 0.0 0.0 0.0 0.5 12.3 Imports (million metric tons) China European Union Mexico Japan Thailand Taiwan, China Indonesia Others World 1980 1990 2000 2010 2020 Source: World Bank. Note: 2016-25 are forecasts. 1970/71 United States Brazil Argentina China India Paraguay Canada Ukraine Bolivia Uruguay Others World 0 1970 Jan-16 Source: World Bank. Note: Last observation is September 2016. Nominal 0.0 7.4 0.1 3.2 0.0 0.5 0.0 8.8 20.0 1980/81 1990/91 2000/01 2010/11 2013/14 2014/15 2015/16 2016/17 48.9 15.2 3.5 7.9 0.4 0.6 0.7 n/a 0.0 0.0 3.5 80.9 52.4 15.8 11.5 11.0 2.6 1.3 1.3 0.1 0.4 0.0 7.9 104.3 75.1 39.5 27.8 15.4 5.3 3.5 2.7 0.1 1.2 0.0 5.4 175.8 90.7 75.3 49.0 15.1 10.1 7.1 4.4 1.7 2.3 1.9 6.7 264.3 91.4 86.7 53.4 12.0 9.5 8.2 5.4 2.8 2.4 3.3 7.5 282.5 106.9 97.2 61.4 12.2 8.7 8.2 6.0 3.9 2.7 3.3 9.4 319.8 106.9 96.5 56.8 11.6 7.1 9.0 6.2 3.9 3.1 2.0 9.9 313.0 116.2 102.0 57.0 12.5 9.7 9.2 6.0 4.0 3.1 3.0 10.5 333.2 1.5 27.8 0.9 13.8 14.1 0.4 1.5 n/a 0.0 0.0 23.8 83.9 3.9 32.3 7.0 14.2 13.0 2.4 1.9 0.4 0.3 0.3 24.1 99.7 18.9 44.6 17.3 22.7 16.8 4.5 4.5 0.4 0.9 0.9 15.0 146.4 55.0 44.9 37.6 36.3 12.2 9.5 3.6 2.1 1.6 1.8 17.5 222.0 68.9 47.2 36.2 36.9 13.4 8.2 4.0 3.4 3.4 2.3 18.6 242.3 74.5 51.0 40.0 40.4 13.6 6.8 4.2 3.7 3.7 2.5 22.9 263.2 81.3 51.3 43.3 39.9 14.4 6.0 4.4 4.0 3.7 2.8 24.9 275.9 86.5 53.1 44.3 40.5 13.8 7.6 4.5 4.0 3.8 2.8 27.6 288.5 1.8 19.7 2.7 0.6 0.1 0.4 25.3 2.5 15.2 4.5 1.0 0.2 2.1 25.4 15.5 27.1 7.3 2.5 0.7 0.7 53.8 30.0 41.0 9.2 5.2 2.9 3.4 91.7 46.8 44.6 7.8 4.8 3.5 5.2 112.7 50.6 50.1 10.6 4.5 3.9 6.5 126.2 54.4 52.7 10.3 5.3 4.3 5.6 132.5 58.4 55.1 9.7 5.3 4.0 6.3 138.8 0.5 13.6 1.4 4.2 0.0 1.1 0.4 18.7 39.8 0.0 13.2 1.4 4.4 0.0 2.2 0.5 17.1 38.8 13.2 17.7 4.4 4.8 1.3 2.3 1.1 8.3 53.1 52.3 12.5 3.5 2.9 2.1 2.5 1.9 12.0 89.8 70.4 13.3 3.8 2.9 1.8 2.3 2.2 16.3 113.1 78.4 13.4 3.8 3.0 2.4 2.5 2.0 18.4 123.9 82.5 14.2 4.1 3.3 2.8 2.6 2.3 20.0 131.7 86.0 13.0 4.2 3.1 2.7 2.6 2.4 22.3 136.2 Source: U.S. Department of Agriculture (October 2016 update). Notes: The trade year is January-December of the later year of the split. For example, 1970/71 refers to calendar year 1971. 57 58 APPENDIX B C O M M O D I T Y M A R K E T S O U T L O O K | octo b er 2 0 1 6 Sugar Monthly Prices (US$/kg) Annual Prices (US$/kg) 0.8 2.0 0.6 1.5 0.4 1.0 0.2 0.5 0.0 Jan-04 Jan-06 Jan-08 Jan-10 Jan-12 Jan-14 Jan-16 Source: World Bank. Note: Last observation is September 2016. India China Thailand Pakistan United States Mexico Others World Exports (million metric tons) Brazil Thailand Australia Guatemala Mexico European Union Others World Imports (million metric tons) China European Union Indonesia United States United Arab Emirates Bangladesh Korea, Rep. Malaysia Others World Nominal 1980 1990 2000 2010 2020 1980/81 1990/91 2000/01 2010/11 2013/14 2014/15 2015/16 2016/17 5.1 4.5 15.4 0.5 2.1 5.6 2.5 0.0 0.0 2.7 0.2 0.6 46.5 85.7 8.5 6.5 19.0 1.7 3.2 5.6 2.5 0.9 0.0 3.3 0.5 0.9 54.8 107.6 7.9 13.7 23.2 4.0 6.8 6.3 3.9 2.1 2.6 3.6 1.0 1.9 60.6 137.6 17.1 20.5 22.1 5.1 6.8 8.0 5.2 2.6 1.6 4.2 1.6 2.8 55.3 152.9 38.4 26.6 15.9 9.7 11.2 7.1 5.5 3.9 3.0 3.7 2.0 2.3 33.0 162.2 37.8 26.6 16.0 11.3 14.3 7.7 6.4 5.6 4.4 4.4 2.9 2.3 36.5 176.1 36.0 30.5 18.4 10.8 11.0 7.9 6.3 5.2 4.4 4.7 3.0 2.1 37.1 177.2 34.7 27.7 14.0 9.7 8.4 8.1 6.6 5.1 5.2 5.0 3.0 2.0 35.5 164.9 37.1 25.5 16.5 10.1 8.2 7.9 6.5 5.4 5.3 5.0 3.1 2.5 36.3 169.3 1.8 0.3 0.0 0.0 2.9 0.7 14.4 20.2 1.1 0.7 0.2 0.1 1.4 0.7 13.4 17.6 3.6 1.4 0.2 0.3 1.4 2.4 13.2 22.4 12.0 1.0 0.6 0.4 2.0 1.5 22.4 39.9 6.3 1.6 3.0 1.5 1.3 0.8 15.1 29.5 8.2 8.8 5.3 1.3 1.6 0.9 17.8 43.9 10.6 7.3 5.3 1.3 1.6 0.9 18.8 45.8 9.7 4.9 3.6 1.4 1.6 1.4 15.2 37.8 8.0 3.2 2.1 2.0 1.5 1.4 14.8 32.8 1.2 0.2 1.8 0.1 0.6 2.7 17.4 24.0 2.3 1.0 2.6 0.2 0.0 6.5 22.3 34.9 1.3 2.7 2.8 0.7 0.3 8.1 26.1 42.0 7.7 3.4 3.1 1.2 0.2 7.3 22.8 45.6 25.8 6.6 2.8 1.5 1.6 1.1 14.5 53.9 26.2 7.2 3.2 2.1 2.7 1.6 14.9 57.9 24.0 8.3 3.6 2.3 1.5 1.7 13.7 55.0 24.4 8.8 3.7 2.3 1.2 1.5 13.1 54.9 26.1 9.0 3.9 2.3 1.6 1.5 11.2 55.6 0.4 5.4 0.1 4.8 0.0 0.0 0.0 0.0 12.0 22.7 1.1 3.8 0.6 4.4 0.1 0.0 0.8 0.5 20.8 32.0 1.1 4.1 0.2 2.6 0.1 0.0 1.2 0.9 25.9 36.2 1.1 3.3 1.6 1.4 1.1 0.8 1.6 1.3 31.4 43.6 2.1 3.8 3.1 3.4 2.0 1.5 1.7 1.8 29.7 49.1 4.3 3.3 3.6 3.4 2.1 2.1 1.9 1.9 28.9 51.4 5.1 2.9 3.1 3.2 2.4 2.0 1.9 2.1 28.3 50.9 6.7 3.5 3.3 2.9 2.5 2.4 1.9 1.9 29.4 54.4 7.9 3.5 3.4 3.2 2.5 2.4 1.9 1.9 29.0 55.6 Production (million metric tons) Stocks (million metric tons) 0.0 1970 Source: World Bank. Note: 2016-25 are forecasts. 1970/71 Brazil India European Union Thailand China United States Mexico Pakistan Russian Federation Australia Guatemala Turkey Others World Constant 2010 Source: U.S. Department of Agriculture (October 2016 update). Notes: The trade year is January-December of the later year of the split. For example, 1970/71 refers to calendar year 1971. C O M M O D I T Y M A R K E T S O U T L O O K | octo b er 2 0 1 6 Tea Monthly Prices (US$/kg) Annual Constant Prices (US$/kg) 3.5 5 3.0 4 2.5 3 2.0 2 1.5 1 1.0 Jan-04 Jan-06 Jan-08 Jan-10 Jan-12 Jan-14 Jan-16 1970 1980 1990 2000 2010 2020 1990 2000 2009 2010 2011 2012 2013 163 419 41 212 15 33 20 64 26 91 0 31 19 18 0 8 328 570 90 191 21 96 32 106 36 102 1 40 30 2 1 16 562 688 197 233 32 123 37 156 51 90 7 39 39 7 4 18 704 826 236 306 70 139 50 163 74 85 32 46 42 29 34 24 1,376 973 314 290 186 199 166 157 72 86 64 60 53 49 32 34 1,467 991 399 331 198 235 166 150 92 85 67 60 52 49 38 33 1,640 1,095 378 328 207 222 104 150 93 82 73 61 52 35 41 32 1,805 1,135 369 330 217 225 158 143 83 86 74 60 54 51 42 33 1,939 1,209 432 340 214 212 160 148 105 85 75 64 54 53 42 34 126 1,287 231 1,894 242 2,525 155 3,014 179 4,287 191 4,606 179 4,771 170 5,035 179 5,346 109 218 90 30 12 27 15 6 1 2 220 331 81 61 15 37 27 12 1 14 383 490 133 106 13 41 56 21 7 18 497 632 514 111 19 59 59 2 32 35 1,112 803 419 96 10 72 76 2 62 54 1,217 774 406 93 31 74 85 2 67 61 1,369 795 414 118 63 94 87 136 75 62 1,547 932 478 119 136 98 58 113 78 60 1,671 973 481 118 107 98 87 81 78 78 992 1,502 1,287 2,086 1,571 2,839 1,765 3,725 2,162 4,868 2,251 5,061 2,279 5,492 n/a n/a n/a n/a 42 61 208 200 2 19 41 15 0 18 84 120 185 239 9 33 74 1 8 31 166 211 216 198 16 46 111 5 7 41 217 238 287 201 56 50 106 26 12 42 332 307 289 204 133 70 92 44 24 47 418 308 313 235 137 86 87 55 50 50 307 328 321 323 134 87 75 56 25 46 234 319 318 225 147 78 70 55 31 35 449 332 318 255 90 77 71 62 45 43 146 752 200 984 210 1,228 229 1,464 280 1,822 286 2,023 283 1,983 293 1,806 309 2,051 Consumption (thousand metric tons) Exports (thousand metric tons) Kenya China Sri Lanka India Vietnam Argentina Indonesia Uganda United Arab Emirates Malawi Others World Nominal 1980 Production (thousand metric tons) China India Brazil Pakistan Afghanistan Indonesia Paraguay Kenya Thailand Bangladesh Others World 0 1970 Constant 2010 Source: World Bank. Note: 2016-25 are forecasts. Source: World Bank. Note: Last observation is September 2016. China India Kenya Sri Lanka Vietnam Turkey Iran, Islamic Rep. Indonesia Argentina Japan Thailand Bangladesh Malawi Uganda Burundi Tanzania Others World 59 APPENDIX B Sources: Food and Agriculture Organization, Intergovernmental Group on Tea. Note: Consumption includes domestic use for food, feed, waste, and other uses. 60 APPENDIX B C O M M O D I T Y M A R K E T S O U T L O O K | octo b er 2 0 1 6 Timber—Roundwood and Sawnwood Monthly Prices (US$/mt) Annual Prices (US$/mt) 1,200 1,000 800 800 600 Sawnwood 700 400 600 500 Jan-04 Sawnwood, constant 2010 1,000 900 Sawnwood, nominal 200 Jan-06 Jan-08 Jan-10 Jan-12 Jan-14 0 1970 Jan-16 Source: World Bank. Note: Last observation is September 2016. 1970 1980 1990 312.7 n/a 42.2 117.5 23.9 56.7 12.7 37.5 673.4 1,276.4 2.0 5.2 2.0 0.6 0.0 2.3 2.1 n/a 69.0 83.1 327.1 n/a 79.2 150.8 61.7 44.8 30.9 43.0 708.4 1,446.0 8.3 3.8 3.7 3.1 0.0 3.8 3.0 n/a 69.7 95.4 Sawnwood: production (million cubic meters) United States China Canada Russian Federation Germany Sweden Brazil Finland Others World 63.7 14.8 19.8 n/a 11.6 12.3 8.0 7.4 251.6 389.1 65.3 21.2 32.8 n/a 13.0 11.3 14.9 10.3 252.1 420.9 Sawnwood: imports (million cubic meters) China United States United Kingdom Japan Egypt, Arab Rep. Germany Italy Netherlands Others World 0.1 10.6 9.0 3.0 0.4 6.0 4.0 3.1 16.5 52.6 2000 2010 2020 2010 2012 2013 2014 2015 420.6 145.6 96.0 198.9 103.0 57.4 48.8 50.1 564.5 1,685.0 336.1 161.6 161.8 138.8 128.4 66.3 54.1 46.0 610.0 1,703.1 347.1 177.5 159.6 146.7 146.8 63.6 62.6 44.6 618.0 1,766.5 354.9 180.4 168.7 147.8 142.6 63.7 62.6 49.3 623.8 1,793.8 356.8 188.3 162.5 148.8 149.5 67.4 62.6 49.2 647.5 1,832.6 354.7 190.5 162.5 151.4 149.5 68.1 62.6 51.4 652.2 1,842.9 7.2 2.0 4.4 2.0 1.3 5.2 1.5 n/a 58.9 82.6 15.7 3.5 8.5 11.7 2.2 9.9 6.5 4.0 53.2 115.3 35.4 7.7 8.0 6.3 5.3 6.3 4.7 4.2 32.0 109.9 38.7 6.6 7.3 6.9 6.5 5.5 4.5 4.3 32.5 112.7 45.8 8.4 8.2 7.5 6.5 6.7 4.9 4.5 34.1 126.7 52.3 8.4 7.2 8.1 7.0 6.3 4.3 4.5 35.0 133.1 45.4 8.6 7.7 6.9 5.7 5.7 4.6 4.4 34.8 123.8 86.1 23.6 39.7 n/a 14.7 12.0 13.7 7.5 265.6 463.0 91.1 6.7 50.5 20.0 16.3 16.2 21.3 13.4 149.4 384.8 60.0 37.2 38.7 28.9 22.1 16.8 17.5 9.5 145.1 375.6 67.5 55.7 40.6 32.2 21.1 16.3 15.2 9.4 146.6 404.6 71.1 63.0 42.8 33.5 21.5 16.2 15.4 10.4 148.9 422.9 75.8 68.4 43.4 34.6 21.8 17.5 15.2 10.9 152.3 439.9 76.9 68.4 47.1 34.7 21.5 18.2 15.2 10.6 152.5 445.1 1.3 22.5 10.7 9.0 1.6 6.1 6.0 3.5 23.8 84.5 6.1 34.4 7.9 10.0 2.0 6.3 8.4 3.7 36.9 115.6 16.2 16.6 5.7 6.4 4.8 4.4 6.1 2.8 45.5 108.4 22.0 17.4 5.2 6.6 4.5 4.4 4.9 2.6 45.5 113.0 25.5 20.5 5.5 7.5 4.5 4.5 4.7 2.5 46.8 122.0 27.3 22.2 6.4 6.2 5.7 4.6 4.7 2.5 48.8 128.5 27.6 24.5 6.3 5.8 5.8 4.8 4.6 2.7 49.3 131.4 427.2 n/a 91.2 156.0 74.3 49.1 38.4 40.2 832.9 1,709.2 Industrial roundwood: imports (million cubic meters) China Germany Austria Sweden India Finland Canada Belgium Others World 1990 2000 Industrial roundwood: production (million cubic meters) United States Russian Federation China Canada Brazil Sweden Indonesia Finland Others World 1980 Source: World Bank. Note: 2016-25 are forecasts. 0.3 17.0 6.6 5.6 1.6 6.9 5.8 3.2 24.6 71.5 Source: Food and Agriculture Organization. Notes: n/a implies data not available. Roundwood (which refers to Industrial roundwood), reported in cubic meters solid volume underbark (i.e. exclusing bark), is an aggregate comprising sawlogs and veneer logs; pulpwood, round and split; and other industrial roundwood except wood fuel. Sawnwood, reported in cubic meters solid volume, includes wood that has been produced from both domestic and imported roundwood, either by sawing lengthways or by a profile-chipping process and that exceeds 6mm in thickness. C O M M O D I T Y M A R K E T S O U T L O O K | octo b er 2 0 1 6 APPENDIX B 61 Timber—Wood panels and Woodpulp Monthly Prices (US$/mt) Annual Prices (US$/mt) 1,000 1,200 900 1,050 800 900 700 Woodpulp, constant 2010 750 Woodpulp 600 600 500 450 400 Jan-04 300 1979 Jan-06 Jan-08 Jan-10 Jan-12 Jan-14 Jan-16 1970 1980 1990 0.9 23.0 n/a 3.3 5.8 0.8 0.2 1.0 34.7 69.8 2.3 26.4 n/a 4.8 8.3 2.5 0.4 2.0 54.6 101.3 2.5 1.0 0.6 0.1 0.2 2.0 0.1 0.0 0.2 10.0 2.1 2.3 0.3 0.3 0.2 2.4 0.8 0.0 0.4 15.7 Woodpulp: production (million metric tons) 37.3 0.8 16.6 8.1 6.2 1.2 8.8 n/a 22.5 101.6 46.2 3.4 19.9 8.7 7.2 1.3 9.8 n/a 29.1 125.7 Woodpulp: imports (million metric tons) China United States Germany Italy Korea, Rep. France Japan Indonesia Others World 2009 2010 2011 2012 2013 2014 19.3 45.7 4.8 15.0 14.1 5.8 2.4 4.6 74.7 186.3 109.2 32.6 10.1 9.9 12.6 10.2 6.6 8.2 88.8 288.3 149.3 31.5 12.8 11.1 12.1 12.1 8.1 8.5 89.3 334.7 177.0 33.5 12.7 11.7 12.2 11.7 8.8 9.0 90.8 367.4 191.2 33.8 13.2 12.3 12.3 11.8 9.6 9.2 92.9 386.3 191.2 33.8 13.6 12.8 12.2 11.8 9.5 9.4 93.4 387.7 4.2 3.3 3.8 3.2 0.5 3.3 0.9 1.2 0.1 30.3 13.9 4.1 6.2 6.6 1.5 3.3 1.7 2.1 0.7 59.9 7.7 4.6 4.2 3.0 2.8 2.7 2.4 2.6 1.7 66.7 8.8 5.3 4.8 2.8 2.9 2.6 2.2 2.3 1.4 72.3 8.8 5.1 5.0 3.0 2.8 3.0 2.4 2.5 1.6 74.1 9.6 5.3 4.8 3.4 3.5 3.3 2.8 2.3 2.2 77.0 11.6 5.4 4.2 3.5 3.3 3.2 2.9 2.5 2.2 77.9 57.2 4.3 23.0 10.2 8.9 2.1 11.3 n/a 37.8 154.8 57.8 7.3 26.7 11.5 12.0 3.7 11.4 5.8 34.9 171.3 50.9 14.5 18.9 11.9 10.5 7.5 9.5 7.4 39.5 170.6 50.2 14.3 17.8 12.0 10.2 8.8 8.7 7.7 41.6 171.4 49.1 15.5 18.1 11.7 10.5 9.6 8.8 7.2 41.3 171.8 50.1 16.8 17.3 11.5 10.5 10.4 9.1 7.7 41.6 174.9 49.4 17.6 17.6 11.6 10.5 10.2 8.9 8.1 41.1 174.9 0.9 4.4 3.7 2.1 1.1 1.9 2.9 0.3 8.0 25.2 4.0 6.6 4.1 3.2 2.1 2.4 3.1 1.0 11.3 37.8 12.1 5.6 5.1 3.4 2.5 1.9 1.8 1.2 14.1 47.9 17.2 5.2 4.8 3.3 2.4 2.0 1.8 1.3 15.6 53.7 17.6 5.5 5.0 3.5 2.4 2.1 1.7 1.6 16.3 55.8 18.7 5.8 4.9 3.4 2.3 2.0 1.8 1.6 16.9 57.2 18.7 5.4 4.8 3.5 2.3 2.0 1.8 1.6 16.7 56.7 3.0 37.0 n/a 6.4 9.6 2.9 0.8 1.4 67.9 129.0 Wood-based panels: imports (million cubic meters) United States Brazil Canada Sweden Finland China Japan Russian Federation Others World 1999 2000 Wood-based panels: production (million cubic meters) United States Germany Japan China Canada United Kingdom Italy Korea, Rep. Others World 1989 Source: World Bank. Source: World Bank. Note: Last observation is September 2016. China United States Russian Federation Canada Germany Brazil Turkey Poland Others World Woodpulp, nominal 0.1 3.2 1.8 1.4 0.2 1.3 0.9 0.0 7.6 16.6 0.4 3.7 2.6 1.8 0.5 1.8 2.2 0.1 7.5 20.6 Source: Food and Agriculture Organization of the United Nations. Notes: n/a implies data not available. Wood-based panels, reported in cubic meters solid volume, is an aggregate comprising veneer sheets, plywood, particle board and fiberboard. Woodpulp, reported in metric tons air-dry weight (i.e. with 10% moisture content), is an aggregate comprising mechanical woodpulp; semi-chemical woodpulp; chemical woodpulp; and dissolving woodpulp. 62 APPENDIX B C O M M O D I T Y M A R K E T S O U T L O O K | octo b er 2 0 1 6 Tin Monthly Prices (US$/mt) 40,000 Annual Prices (US$/mt) 30,000 25,000 Constant 2010 30,000 20,000 20,000 15,000 10,000 10,000 5,000 0 Jan-04 Jan-06 Jan-08 Jan-10 Jan-12 Jan-14 0 1970 Jan-16 Source: World Bank. Note: Last observation is September 2016. 1980 16.0 32.5 1.2 22.5 1.1 6.9 11.6 61.4 0.4 3.2 2.5 1.5 0.6 69.7 231.1 1990 42.2 39.3 0.6 17.3 4.8 39.1 7.4 28.5 0.8 1.6 0.3 0.7 0.3 41.6 224.5 Refined Production (thousand metric tons) China Indonesia Malaysia Peru Bolivia Brazil Thailand Belgium Vietnam India Poland Japan Nigeria Others World 15.0 30.5 71.3 0.0 17.5 8.8 34.8 3.1 0.0 0.1 0.0 1.3 2.7 59.5 244.6 35.8 38.0 49.0 0.0 13.1 37.6 15.5 6.1 1.8 0.3 0.0 0.8 0.3 49.7 248.0 Refined Consumption (thousand metric tons) China United States Japan Germany Korea, Rep. India Vietnam Netherlands Spain Others World 12.5 46.5 30.9 19.0 1.8 2.3 0.0 5.0 4.6 100.3 222.9 1980 1990 2000 2010 2020 Source: World Bank. Note: 2016-25 are forecasts. Mine Production (thousand metric tons) China Indonesia Myanmar Bolivia Peru Brazil Australia Malaysia Vietnam Congo, Dem. Rep. Nigeria Rwanda Lao PDR Others World Nominal 25.5 36.8 34.8 21.7 7.8 2.3 0.0 6.9 4.0 97.8 237.6 2000 2005 2010 2011 2012 2013 2014 87.7 51.6 1.6 12.5 36.4 14.2 9.1 6.3 1.8 0.0 2.0 0.4 0.4 10.4 234.5 113.1 120.0 0.7 18.6 42.5 11.7 2.7 2.9 5.4 7.6 0.9 3.3 0.6 3.1 333.1 129.6 84.0 0.8 20.2 33.8 10.4 18.6 2.7 5.4 7.4 1.3 2.9 0.4 0.6 318.1 115.7 90.0 2.1 19.7 26.1 13.7 6.2 3.7 5.4 2.5 2.4 3.5 0.6 0.5 292.0 149.0 84.0 9.0 19.3 23.7 13.8 6.5 3.7 5.4 5.2 2.6 3.6 0.5 0.6 326.9 177.3 69.6 17.5 19.8 23.1 13.8 7.2 3.8 5.4 4.1 2.5 4.2 0.8 0.5 349.6 146.6 68.4 24.0 20.2 19.5 13.8 7.1 3.7 3.6 3.0 2.1 2.0 0.8 0.6 315.5 109.9 46.4 26.2 17.4 9.4 13.8 17.2 8.5 1.8 3.6 0.0 0.6 0.1 7.4 262.3 112.2 78.0 39.2 38.3 15.6 9.0 29.4 7.7 1.8 3.6 0.0 0.8 0.6 4.4 340.5 149.0 64.2 38.7 36.4 15.0 9.1 23.5 9.9 3.0 3.6 0.6 0.8 0.6 2.0 356.6 147.9 79.8 37.8 24.8 14.3 12.0 22.8 11.4 4.8 3.6 1.4 1.1 0.6 1.8 364.0 159.6 63.0 32.7 24.2 14.9 12.0 23.0 10.3 5.5 3.8 1.9 1.8 0.6 0.5 353.7 186.9 64.8 36.7 24.5 15.4 12.0 16.3 9.7 5.5 4.2 2.3 1.7 0.6 0.1 380.8 166.9 67.4 31.2 20.4 15.1 12.0 10.5 8.8 5.5 4.2 2.1 1.7 0.6 0.1 346.4 49.1 51.0 25.2 20.7 15.3 6.4 0.8 3.6 4.1 100.6 276.9 108.7 42.3 33.2 19.1 17.9 8.4 1.2 3.5 7.0 97.4 338.6 154.3 32.0 35.7 17.4 17.4 10.7 2.0 5.4 6.1 87.7 368.8 176.2 30.7 27.7 17.6 16.2 10.0 2.0 4.5 2.9 70.0 357.8 169.3 29.2 28.3 18.0 14.5 10.4 3.6 7.4 4.7 69.7 355.1 192.6 28.8 27.1 18.8 13.8 11.9 5.5 7.2 6.4 66.8 378.8 176.4 31.3 26.8 17.9 13.1 12.9 6.0 6.0 5.7 67.2 363.1 Source: World Bureau of Metal Statistics. Notes: n/a implies data not available. Refined production and consumption include significant recyled material. Early large refined producers (including Russian Federation, Australia, Singapore, and Argentina) are not listed. C O M M O D I T Y M A R K E T S O U T L O O K | octo b er 2 0 1 6 APPENDIX B Wheat Monthly Prices (US$/mt) Annual Prices (US$/mt) 500 500 400 400 300 Constant 2010 300 200 200 100 Jan-04 100 Jan-06 Jan-08 Jan-10 Jan-12 Jan-14 Production (million metric tons) 62.5 29.2 20.1 n/a 36.8 9.0 7.9 n/a 7.3 8.0 n/a 3.8 4.9 1.5 178.0 369.1 Stocks (million metric tons) China United States India European Union Russian Federation Australia Others World 7.2 22.4 5.0 8.6 n/a 3.7 42.3 89.1 Exports (million metric tons) Russian Federation United States European Union Canada Australia Ukraine Others World n/a 20.2 6.7 11.8 9.1 n/a 15.3 63.2 Imports (million metric tons) Egypt, Arab Rep. Indonesia Algeria European Union Brazil Japan Others World 1980 1990 2000 2010 2020 Source: World Bank. Note: 2016-25 are forecasts. 1970/71 European Union China India Russian Federation United States Canada Australia Ukraine Pakistan Turkey Kazakhstan Iran, Islamic Rep. Argentina Egypt, Arab Rep. Others World 0 1970 Jan-16 Source: World Bank. Note: Last observation is September 2016. Nominal 2.8 0.5 0.6 19.6 1.7 4.8 45.3 75.4 1980/81 1990/91 2000/01 2010/11 2013/14 2014/15 2015/16 2016/17 93.3 55.2 31.8 n/a 64.8 19.3 10.9 n/a 10.9 13.0 n/a 5.9 7.8 1.8 214.5 529.2 125.0 98.2 49.9 49.6 74.3 32.1 15.1 30.4 14.4 16.0 16.2 8.0 11.0 4.3 169.4 713.8 132.7 99.6 76.4 34.5 60.6 26.5 22.1 10.2 21.1 18.0 9.1 8.1 16.3 6.4 41.7 583.3 136.7 115.2 80.8 41.5 58.9 23.3 27.4 16.8 23.3 17.0 9.6 13.5 17.2 7.2 60.9 649.3 144.6 121.9 93.5 52.1 58.1 37.5 25.3 22.3 24.2 18.8 13.9 14.5 10.5 8.3 69.6 715.0 156.9 126.2 95.9 59.1 55.1 29.4 23.9 24.8 26.0 15.3 13.0 13.0 13.9 8.3 67.5 728.3 160.0 130.2 86.5 61.0 56.1 27.6 24.5 27.3 25.1 19.5 13.7 15.0 11.3 8.1 69.0 735.0 143.2 128.0 90.0 72.0 62.9 31.5 28.3 27.0 25.3 17.5 16.5 15.5 14.4 8.1 64.3 744.4 31.7 26.9 4.0 13.0 n/a 2.0 48.0 125.6 49.9 23.6 5.8 22.5 16.4 2.8 72.6 193.7 91.9 23.8 21.5 17.9 1.5 5.5 44.4 206.5 59.1 23.5 15.4 11.9 13.7 8.2 66.6 198.4 65.3 16.1 17.8 9.9 5.2 4.6 75.1 194.0 76.1 20.5 17.2 12.7 6.3 4.8 78.4 216.1 97.0 26.6 14.5 14.0 5.6 6.3 75.7 239.7 110.7 31.0 11.0 10.5 9.6 6.8 68.8 248.4 n/a 41.2 17.5 16.3 9.6 n/a 23.1 107.6 1.2 29.1 23.8 21.7 11.8 2.0 38.0 127.7 0.7 28.9 15.7 17.3 15.9 0.1 22.6 101.3 4.0 35.1 23.1 16.6 18.6 4.3 31.0 132.7 18.6 32.0 32.0 23.3 18.6 9.8 31.7 166.0 22.8 23.5 35.4 24.2 16.6 11.3 30.7 164.4 25.5 21.1 34.7 22.1 16.0 17.4 35.1 172.0 30.0 26.5 25.0 22.0 20.5 15.5 35.1 174.7 5.4 1.2 2.3 10.4 3.9 5.8 70.8 99.9 5.7 2.0 4.4 3.7 4.4 5.6 76.9 102.7 6.1 4.1 5.6 3.5 7.2 5.9 67.0 99.3 10.6 6.6 6.5 4.6 6.7 5.9 91.1 132.0 10.2 7.4 7.5 4.0 7.1 6.1 116.3 158.5 11.3 7.5 7.3 6.0 5.4 5.9 115.8 159.1 11.9 10.1 8.2 6.9 6.8 5.7 120.4 169.9 11.8 8.5 8.2 7.0 6.0 5.8 122.6 169.9 Source: U.S. Department of Agriculture (October 2016 update). Notes: n/a implies data not available. The trade year is January-December of the later year of the split. For example, 1970/71 refers to calendar year 1971. 63 64 APPENDIX B C O M M O D I T Y M A R K E T S O U T L O O K | octo b er 2 0 1 6 Zinc Annual Prices (US$/mt) Monthly Prices (US$/mt) 5,000 5,000 4,000 4,000 3,000 3,000 2,000 2,000 1,000 1,000 0 Jan-04 Jan-06 Jan-08 Jan-10 Jan-12 Jan-14 0 1970 Jan-16 Source: World Bank. Note: Last observation is June 2016. 1990 2000 Mine Production (thousand metric tons) 150 495 488 32 349 243 50 n/a 1,059 167 229 n/a 70 n/a 6,172 763 940 584 70 571 307 108 n/a 1,203 160 167 n/a 110 n/a 7,176 Refined Production (thousand metric tons) China Korea, Rep. India Canada Japan Spain Australia Peru Kazakhstan Mexico Finland Netherlands Russian Federation Others World 155 76 44 592 735 152 301 64 n/a 145 147 170 n/a n/a 6,159 552 248 79 592 688 253 309 118 n/a 199 175 208 n/a n/a 6,698 Refined Consumption (thousand metric tons) China United States Korea, Rep. India Germany Japan Belgium Australia Russian Federation Others World 200 810 68 95 474 752 155 100 n/a n/a 6,131 Source: World Bureau of Metal Statistics. Note: n/a implies data not available. Nominal 1980 1990 2000 2010 2020 Source: World Bank. Note: 2016-25 are forecasts. 1980 China Australia Peru India United States Mexico Bolivia Kazakhstan Canada Sweden Ireland Russian Federation Brazil Others World Constant 2010 369 992 230 135 530 814 178 114 n/a n/a 6,568 2005 2010 2012 2013 2014 2015 1,780 1,420 910 208 829 401 149 322 1,002 177 263 132 100 1,129 8,823 2,061 1,367 1,202 447 748 476 160 364 667 216 429 186 168 1,079 9,569 3,842 1,480 1,470 740 748 570 411 405 649 199 354 214 211 1,163 12,457 4,859 1,507 1,281 725 738 660 390 371 612 188 338 189 164 1,253 13,274 5,188 1,523 1,351 817 784 643 407 417 426 177 327 193 152 1,251 13,655 5,200 1,560 1,319 729 832 660 449 386 353 222 283 217 193 1,306 13,708 4,750 1,691 1,422 826 810 677 480 384 278 247 236 236 193 1,142 13,372 1,957 473 176 780 654 386 489 200 263 337 223 217 241 2,757 9,153 2,725 650 266 724 638 501 457 166 357 334 282 225 206 2,587 10,119 5,209 750 701 690 574 517 498 223 319 322 307 264 260 2,275 12,909 4,881 877 691 649 571 528 496 319 320 324 315 257 247 2,086 12,561 5,280 895 773 652 587 529 492 346 320 323 312 275 262 2,012 13,058 5,827 915 700 648 583 529 482 336 325 321 302 290 265 2,030 13,553 6,155 978 817 678 567 529 479 335 324 318 306 291 267 1,930 13,975 1,402 1,315 419 224 532 674 394 193 138 3,599 8,889 3,040 1,080 448 389 514 602 256 239 166 3,662 10,396 5,350 907 540 538 494 516 321 225 203 3,432 12,526 5,396 892 553 561 474 479 239 104 222 3,139 12,059 5,962 935 578 640 479 498 222 180 265 3,195 12,954 6,420 962 644 638 477 503 388 174 242 3,314 13,762 6,487 924 633 612 479 457 442 289 255 3,334 13,911 Appendix C Description of price series Technical notes C O M M O D I T Y M A R K E T S O U T L O O K | octo b er 2 0 1 6 Description of Price Series ENERGY Coal (Australia). Thermal, f.o.b. piers, Newcastle/ Port Kembla, 6,700 kcal/kg, 90 days forward delivery. Coal (Colombia). Thermal, f.o.b. Bolivar, 6,450 kcal/kg, (11,200 btu/lb), less than .8% sulfur, 9% ash, 90 days forward delivery. Coal (South Africa). Thermal, f.o.b. Richards Bay, 6,000 kcal/kg, 90 days forward delivery. Crude oil. Average price of Brent (38° API), Dubai Fateh (32° API), and West Texas Intermediate (WTI, 40° API). Equally weighed. Natural Gas Index (Laspeyres). Weights based on five-year consumption volumes for Europe, U.S. and Japan (LNG), updated every five years. Natural gas (Europe). Average import border price with a component of spot price, including U.K. Natural gas (U.S.). Spot price at Henry Hub, Louisiana. Natural gas (Japan). LNG, import price, cif; recent two months' averages are estimates. NON-ENERGY Beverages Cocoa (ICCO). International Cocoa Organization daily price, average of the first three positions on the terminal markets of New York and London, nearest three future trading months. Coffee (ICO). International Coffee Organization indicator price, other mild Arabicas, average New York and Bremen/Hamburg markets, ex-dock. Coffee (ICO). International Coffee Organization indicator price, Robustas, average New York and Le Havre/Marseilles markets, ex-dock. Tea. Average three auctions, average of quotations at Kolkata, Colombo, and Mombasa/Nairobi. Tea (Colombo). Sri Lankan origin, all tea, average of weekly quotes. Tea (Kolkata). leaf, include excise duty, average of weekly quotes. Tea (Mombasa/Nairobi). African origin, all tea, average of weekly quotes. Oils and meals Coconut oil (Philippines/Indonesia). Bulk, c.i.f. Rotterdam. Copra (Philippines/Indonesia). Bulk, c.i.f. N.W. Europe. APPENDIX C Groundnuts (U.S.). Runners 40/50, shelled basis, c.i.f. Rotterdam. Groundnut oil (any origin). C.i.f. Rotterdam. Fishmeal (any origin). 64-65%, c&f Bremen, estimates based on wholesale price. Palm oil (Malaysia). 5% bulk, c.i.f. N. W. Europe. Palmkernel Oil (Malaysia). C.i.f. Rotterdam. Soybean meal (any origin), Argentine 45/46% extraction, c.i.f. Rotterdam. Soybean oil (any origin). Crude, f.o.b. ex-mill Netherlands. Soybeans (U.S.). C.i.f. Rotterdam. Grains Barley (U.S.). Feed, No. 2, spot, 20 days to-arrive, delivered Minneapolis. Maize (U.S.). No. 2, yellow, f.o.b. US Gulf ports. Rice (Thailand). 5% broken, white rice (WR), milled, indicative price based on weekly surveys of export transactions, government standard, f.o.b. Bangkok. Rice (Thailand). 25% broken, WR, milled indicative survey price, government standard, f.o.b. Bangkok. Rice (Thailand). 100% broken, A.1 Super, indicative survey price, government standard, f.o.b. Bangkok. Rice (Vietnam). 5% broken, WR, milled, weekly indicative survey price, minimum export price, f.o.b. Hanoi. Sorghum (U.S.). No. 2 milo yellow, f.o.b. Gulf ports. Wheat (U.S.). No. 1, hard red winter (HRW), ordinary protein, export price delivered at the US Gulf port for prompt or 30 days shipment. Wheat (U.S.). No. 2, soft red winter (SRW), export price delivered at the U.S. Gulf port for prompt or 30 days shipment. Other food Bananas (Central and South America). Major brands, free on truck (f.o.t.) Southern Europe, including duties. Bananas (Central and South America). Major brands, US import price, f.o.t. US Gulf ports. Meat, beef (Australia/New Zealand). Chucks and cow forequarters, frozen boneless, 85% chemical lean, c.i.f. U.S. port (east coast), ex-dock. Meat, chicken (U.S.). Broiler/fryer, whole birds, 2-1/2 to 3 pounds, USDA grade "A", ice-packed, Georgia Dock preliminary weighted average, wholesale. Meat, sheep (New Zealand). Frozen whole carcasses Prime Medium (PM) wholesale, Smithfield, London. 67 68 APPENDIX C C O M M O D I T Y M A R K E T S O U T L O O K | octo b er 2 0 1 6 Oranges (Mediterranean exporters). Navel, EEC indicative import price, c.i.f. Paris. Shrimp (Mexico). West coast, frozen, white, No. 1, shell-on, headless, 26 to 30 count per pound, wholesale price at New York. Sugar (EU). European Union negotiated import price for raw unpackaged sugar from African, Caribbean, and Pacific (ACP), c.i.f. European ports. Sugar (U.S.). Nearby futures contract, c.i.f. Sugar (world). International Sugar Agreement (ISA) daily price, raw, f.o.b. and stowed at greater Caribbean ports. Fertilizers Timber Metals and minerals Logs (West Africa). Sapele, high quality (loyal and marchand), 80 centimeter or more, f.o.b. Douala, Cameroon. Logs (Southeast Asia). Meranti, Sarawak, Malaysia, sale price charged by importers, Tokyo. Plywood (Africa and Southeast Asia). Lauan, 3-ply, extra, 91 cm x 182 cm x 4 mm, wholesale price, spot Tokyo. Sawnwood (West Africa). Sapele, width 6 inches or more, length 6 feet or more, f.a.s. Cameroonian ports. Sawnwood (Southeast Asia). Malaysian dark red seraya/meranti, select and better quality, average 7 to 8 inches; length average 12 to 14 inches; thickness 1 to 2 inches; kiln dry, c. & f. UK ports, with 5% agents commission including premium for products of certified sustainable forest. Woodpulp (Sweden). Softwood, sulphate, bleached, air-dry weight, c.i.f. North Sea ports. Aluminum (LME). London Metal Exchange, unalloyed primary ingots, standard high grade, physical settlement. Copper (LME). Standard grade A, cathodes and wire bar shapes, physical settlement. Iron ore (any origin). Fines, spot price, c.f.r. China, 62% Fe. Lead (LME). Refined, standard high grade, physical settlement. Nickel (LME). Cathodes, standard high grade, physical settlement. Tin (LME). Refined, standard high grade, physical settlement. Zinc (LME). Refined, standard special high grade, physical settlement. Other raw materials Cotton (Cotlook "A" index). Middling 1-3/32 inch, traded in Far East, C/F. Rubber (Asia). RSS3 grade, Singapore Commodity Exchange Ltd (SICOM) nearby contract. Rubber (Asia). TSR 20, Technically Specified Rubber, SICOM nearby contract. DAP (diammonium phosphate). Standard size, bulk, spot, f.o.b. US Gulf. Phosphate rock (Morocco). 70% BPL, contract, f.a.s. Casablanca. Potassium chloride (muriate of potash). Standard grade, spot, f.o.b. Vancouver. TSP (triple superphosphate). Bulk, spot, granular, f.o.b. Tunisia. Urea (Black Sea). Bulk, spot, f.o.b. Black Sea (primarily Yuzhnyy). PRECIOUS METALS Gold (U.K.). 99.5% fine, London afternoon fixing, average of daily rates. Platinum (U.K.). 99.9% refined, London afternoon fixing. Silver (U.K.). 99.9% refined, London afternoon fixing. C O M M O D I T Y M A R K E T S O U T L O O K | octo b er 2 0 1 6 Technical Notes Definitions and explanations Constant prices are prices which are deflated by the Manufacturers Unit Value Index (MUV). MUV is the unit value index in U.S. dollar terms of manufactures exported from fifteen countries: Brazil, Canada, China, Germany, France, India, Italy, Japan, Mexico, Republic of Korea, South Africa, Spain, Thailand, United Kingdom, and United States. Price indexes were computed by the Laspeyres formula. The Non-Energy Price Index is comprised of 34 commodities. U.S. dollar prices of each commodity is weighted by 2002-2004 average export values. Base year reference for all indexes is 2010. Countries included in indexes are all low- and middle-income, according to World Bank income classifications. Price index weights. Trade data as of May 2008 comes from United Nations' Comtrade Database via the World Bank WITS system, Food and Agriculture Organization FAOSTAT Database, International Energy Agency Database, BP Statistical Review, World Metal Statistics, World Bureau of Metal Statistics, and World Bank staff estimates. The weights can be found in the table on the next page. Reporting period. Calendar vs. crop or marketing year refers to the span of the year. It is common in many agricultural commodities to refer to production and other variables over a twelve-month period that begins with harvest. A crop or marketing year will often differ by commodity and, in some cases, by country or region. Abbreviations $ = U.S. dollar bbl = barrel bcf/d = billion cubic feet per day cif = cost, insurance, freight cum = cubic meter dmt = dry metric ton f.o.b. = free on board f.o.t. = free on track kg = kilogram mb/d = million barrels per day mmbtu = million British thermal units mmt = million metric tons mt = metric ton (1,000 kilograms) toz = troy oz Acronyms CIS CPI DAP DUC ECB EIA EMDE FAO Commonwealth of Independent States consumer price index diammonium phosphate drilled but uncompleted wells European Central Bank Energy Information Administration emerging and developing economies Food and Agriculture Organization APPENDIX C FSU GDP ICA IEA ITA LME LNG MUV NDRC NPI OECD former Soviet Union gross domestic product International Coffee Agreement International Energy Agency International Tin Agreement London Metal Exchange liquefied natural gas Manufacture Unit Value National Development and Reform Commission nickel pig iron Organization of Economic Cooperation and Development OPEC Organization of Petroleum Exporting Countries TSP triple superphosphate USDA United States Department of Agriculture WTI West Texas Intermediate Data sources Agrium Fact Book Baker Hughes Bloomberg BP Statistical Review Concensus Forecast Cotton Outlook FAO Fertilizer Week INFOFISH INTERFEL Fel Actualités Hebdo International Cocoa Organization (ICCO) International Coffee Organization (ICO) International Cotton Advisory Committee International Energy Agency (IEA) International Fertilizer Industry Association (IFA) International Rubber Study Group (IRSG) International Tea Committee (ITC) International Tropical Timber Organization (ITTO) International Sugar Organization (ISO) ISTA Mielke GmbH Oil World Japan Lumber Journal MinEx Consulting MLA Meat & Livestock Weekly Platts International Coal Report Singapore Commodity Exchange Sopisco News Sri Lanka Tea Board Thomson Reuters U.S. Department of Agriculture U.S. Energy Information Administration (EIA) U.S. NOAA Fisheries Service World Bureau of Metal Statistics World Gas Intelligence 69 70 APPENDIX C C O M M O D I T Y M A R K E T S O U T L O O K | octo b er 2 0 1 6 Weights for commodity price indexes Commodity group ENERGY Coal Crude Oil Natural Gas NON-ENERGY Agriculture Beverages Coffee Cocoa Tea Food Grains Rice Wheat Maize (includes sorghum) Barley Oils and Meals Soybeans Soybean Oil Soybean Meal Palm Oil Coconut Oil Groundnut Oil (includes groundnuts) Other Food Sugar Bananas Meat, beef Meat, chicken Oranges (includes orange junice) Agricultural Raw Materials Timber Logs Sawnwood Other Raw Materials Cotton Natural Rubber Tobacco Fertilizers Natural Phosphate Rock Phosphate Potassium Nitogenous Metals and Minerals Aluminum Copper Iron Ore Lead Nickel Tin Zinc PRECIOUS METALS Gold Silver Platinum Share of energy and non-energy indexes 100.0 4.7 84.6 10.8 100.0 64.9 8.4 3.8 3.1 1.5 40.0 11.3 3.4 2.8 4.6 0.5 16.3 4.0 2.1 4.3 4.9 0.5 0.5 12.4 3.9 1.9 2.7 2.4 1.4 16.5 8.6 1.9 6.7 7.9 1.9 3.7 2.3 3.6 0.6 0.8 0.7 1.5 31.6 8.4 12.1 6.0 0.6 2.5 0.7 1.3 100.0 77.8 18.9 3.3 Notes: Index weights are based on 2002-04 developing countries' export values. Precious metals are not included in the non-energy index. Share of sub-group indexes 100.0 4.7 84.6 10.8 100.0 45.7 36.9 17.4 100.0 30.2 25.3 40.8 3.7 100.0 24.6 13.0 26.3 30.2 3.1 2.8 100.0 31.5 15.7 22.0 19.2 11.6 100.0 22.1 77.9 100.0 24.7 46.7 28.7 100.0 16.9 21.7 20.1 41.3 100.0 26.7 38.4 18.9 1.8 8.1 2.1 4.1 CO M M ODIT Y M A R K ET S O U TLOO K | o c t o b e r 2 0 1 6 Selected TopicS Commodity Markets Outlook: Special Topics, 2011-2016 Topic Date OPEC in historical context: Commodity agreements and market fundamentals October 2016 From energy prices to food prices: Moving in tandem? July 2016 Resource development in era of cheap commodities April 2016 Weak growth in emerging market economies: What does it imply for commodity markets? January 2016 Understanding El Niño: What does it mean for commodity markets? October 2015 Iran nuclear agreement: A game changer for energy markets? October 2015 How important are China and India in global commodity consumption? July 2015 Anatomy of the last four oil price crashes April 2015 Oil price plunge in perspective January 2015 The role of income growth in commodities October 2014 Price volatility for most commodities has returned to historical norms July 2014 The nature and causes of oil price volatility January 2014 A global energy market? July 2013 Global reserves, demand growth, and the “super cycle” hypothesis July 2013 The “energy revolution”, innovation, and the nature of substitution January 2013 Commodity prices: levels, volatility, and comovement January 2013 Which drivers matter most in food price movements? January 2013 Induced innovation, price divergence, and substitution June 2012 The role of emerging markets in commodity consumption June 2012 WTI-Brent price dislocation January 2012 Metals consumption in China and India January 2012 China, global metal demand, and the super-cycle hypothesis June 2011 71 M ost commodity prices rose in the third quarter from lows earlier in the year, with gains in energy and metals partly offset by declines in grains and fertilizers. Crude oil prices are forecast to rise to $55 per barrel in 2017 from $43/bbl as OPEC limits production. Energy prices, which also include coal and natural gas, are seen jumping 24 percent next year. Metals prices are forecast to rise next year. Agricultural prices are expected to post a modest increase overall in 2017, including food prices. A Special Focus analyzes OPEC’s plan to limit production. Historically, agreements aimed at influencing the prices of commodities such as tin and coffee have succeeded in swaying markets for a time but eventually lost that ability and collapsed. OPEC’s ability to affect oil prices is likely to be tested by the expansion of oil supply from unconventional sources, especially shale producers. The World Bank’s Commodity Markets Outlook is published quarterly, in January, April, July, and October. The report provides detailed market analysis for major commodity groups, including energy, metals, agriculture, precious metals, and fertilizers. Price forecasts to 2025 for 46 commodities are also presented, together with historical price data. Commodity price data updates are published separately at the beginning of each month. The report and data can be accessed at: www.worldbank.org/commodities
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