Identification of Financial Factors in Economic Fluctuations Francesco Furlanetto Norges Bank Francesco Ravazzolo Norges Bank and BI Norwegian Business School Samad Sarferaz ETH Zürich September 29, 2015 Danmarks Nationalbank’s workshop on ”The financial sector and the macro economy” The views expressed in the paper are not necessarily the views of Norges Bank Furlanetto Ravazzolo Sarferaz Identification of Financial Factors September 2015 1 / 19 Motivation Recently, the financial sector has been seen also as a source of shocks (Christiano, Motto and Rostagno, 2014, Jermann and Quadrini, 2012) Several kinds of financial shocks, all implying investment and stock market booms In this paper we consider financial shocks in a sign restricted VAR (Sims, 1980) First step: one general financial shock Second step: disentangle different financial shocks Contribution Credit shocks, housing shocks and uncertainty shocks in the same framework Size of the system and magnitude restrictions with restrictions on ratios Furlanetto Ravazzolo Sarferaz Identification of Financial Factors September 2015 2 / 19 The model Bayesian VAR in levels with 5 lags Minimum set of sign restrictions imposed only on impact 5 variables (output, GDP deflator, interest rate, investment, stock returns) in the baseline 5 shocks: supply and four kinds of demand shocks in the baseline Data: 1985 Q1-2011 Q4 quarterly for the US Priors: Uninformative priors. Furlanetto Ravazzolo Sarferaz Identification of Financial Factors September 2015 3 / 19 Restrictions in the baseline model Financial shocks create an investment boom and a stock market boom (consistent with all financial shocks in the literature) Shocks to the demand of capital Theory: investment shocks move output and stock prices in opposite directions Shocks to the supply of capital (Christiano, Motto and Rostagno, 2014) Restrictions: GDP GDP deflator Interest rate Investment/Output Stock market Furlanetto Ravazzolo Sarferaz Supply + NA NA NA Demand + + + NA Monetary + + NA NA Identification of Financial Factors Investment + + + + - Financial + + + + + September 2015 4 / 19 Variance Decomposition GDP Inflation 1 1 0.8 0.8 0.6 0.6 0.4 0.4 0.2 0.2 0 1 5 10 15 20 25 30 35 0 1 5 10 Interest Rate 1 1 0.8 0.8 0.6 0.6 0.4 0.4 0.2 0.2 0 1 5 10 15 20 15 20 25 30 35 25 30 35 Investment 25 30 35 0 1 5 10 15 20 Stock Prices 1 Supply Demand Monetary Investment Financial 0.8 0.6 0.4 0.2 0 1 5 10 Furlanetto Ravazzolo Sarferaz 15 20 25 30 35 Identification of Financial Factors September 2015 5 / 19 IRF financial shocks −3 −3 GDP x 10 3 6 2 4 1 2 0 0 −1 −2 1 5 10 15 20 Inflation x 10 8 25 30 35 −2 1 5 10 Interest Rate 0.03 0.4 0.02 0.2 0.01 0 0 1 5 10 15 20 20 25 30 35 25 30 35 Investment 0.6 −0.2 15 25 30 35 30 35 −0.01 1 5 10 15 20 Stock Prices 0.015 0.01 0.005 0 −0.005 −0.01 1 5 10 Furlanetto Ravazzolo Sarferaz 15 20 25 Identification of Financial Factors September 2015 6 / 19 Next step: disentangling financial shocks Our financial shock is consistent with several possible stories Originating in the housing market? (housing demand shocks as in Iacoviello and Neri (2009), Liu, Wang and Zha (2013); bubbles; decline in productivity in the housing sector) Originating in the credit markets? (loan to value ratio shocks, financial liberalization, credit supply shocks) Uncertainty (risk) shocks? (Bloom, 2009, Christiano, Motto and Rostagno, 2014) Our next objective: disentangle different kind of financial shocks we remove the monetary shock from the system to include more financial shocks Furlanetto Ravazzolo Sarferaz Identification of Financial Factors September 2015 7 / 19 Disentangling financial shocks I: credit vs housing Credit Real Estate Value Credit shocks have a larger effect on the numerator Limited response of house prices to credit shocks Housing shocks have a larger effect on the denominator Sluggish response of credit No endogenous relaxation of credit standards Furlanetto Ravazzolo Sarferaz Identification of Financial Factors September 2015 8 / 19 Variance decomposition GDP Prices 1 1 0.8 0.8 0.6 0.6 0.4 0.4 0.2 0.2 0 1 5 10 15 20 25 30 35 0 1 5 Investment 1 0.8 0.8 0.6 0.6 0.4 0.4 0.2 0.2 1 5 10 15 15 20 25 30 35 25 30 35 Stock Prices 1 0 10 20 25 30 35 0 1 5 10 15 20 Credit to Real Estate Ratio 1 0.8 Supply Demand Investment Credit Housing 0.6 0.4 0.2 0 1 5 10 15 20 Furlanetto Ravazzolo Sarferaz 25 30 35 Identification of Financial Factors September 2015 9 / 19 IRF housing −3 −3 GDP x 10 Prices x 10 10 4 3 5 2 1 0 0 −5 1 5 10 15 20 25 30 35 −1 1 5 10 Investment 15 20 25 30 35 25 30 35 Stock Prices 0.04 0.02 0.01 0.02 0 0 −0.01 −0.02 1 5 10 15 20 25 30 35 30 35 −0.02 1 5 10 15 20 Credit to Real Estate Ratio 0.02 0.01 0 −0.01 −0.02 −0.03 1 5 10 15 20 Furlanetto Ravazzolo Sarferaz 25 Identification of Financial Factors September 2015 10 / 19 IRF credit −3 GDP 2 0.005 1 0 0 −0.005 −1 −0.01 1 5 10 15 20 Prices x 10 0.01 25 30 35 −2 1 5 10 Investment 15 20 25 30 35 25 30 35 Stock Prices 0.04 0.015 0.01 0.02 0.005 0 0 −0.02 −0.04 −0.005 1 5 10 15 20 25 30 35 30 35 −0.01 1 5 10 15 20 Credit to Real Estate Ratio 0.04 0.02 0 −0.02 −0.04 1 5 10 15 20 Furlanetto Ravazzolo Sarferaz 25 Identification of Financial Factors September 2015 11 / 19 Cross-check: the slow-moving nature of credit GDP 1 0.8 0.6 0.4 0.2 0 1 0.8 0.6 0.4 0.2 0 1 0.8 0.6 0.4 0.2 0 1 5 Prices 10 15 20 25 30 35 Investment 1 5 10 15 20 25 30 35 New Credit to Real Estate Ratio 1 5 10 15 20 25 30 35 Furlanetto Ravazzolo Sarferaz 1 0.8 0.6 0.4 0.2 0 1 0.8 0.6 0.4 0.2 0 1 5 10 15 20 25 30 35 Stock Market 1 5 10 15 20 25 30 35 Supply Demand Investment Credit Housing Identification of Financial Factors September 2015 12 / 19 The interpretation of housing shocks Housing demand shocks (Iacoviello and Neri, 2010) Bubbles Low productivity in the construction sector (Galesi, 2014) Global saving glut Furlanetto Ravazzolo Sarferaz Identification of Financial Factors September 2015 13 / 19 Disentangling financial shocks II: uncertainty vs credit vs housing EBP VIX Positive credit shocks and positive uncertainty shocks both lower EBP and VIX... ...but EBP responds more to credit shocks ...and VIX responds more to uncertainty shocks Similar to Caldara, Fuentes-Albero, Gilchrist and Zakrajsek (2014) Furlanetto Ravazzolo Sarferaz Identification of Financial Factors September 2015 14 / 19 Variance Decomposition GDP 1 0.8 0.6 0.4 0.2 0 1 0.8 0.6 0.4 0.2 0 1 0.8 0.6 0.4 0.2 0 1 1 1 5 5 5 Prices 10 15 20 Investment 25 30 10 15 20 25 30 Credit to real estate ratio 10 15 20 25 30 35 35 35 1 0.8 0.6 0.4 0.2 0 1 0.8 0.6 0.4 0.2 0 1 0.8 0.6 0.4 0.2 0 1 5 10 15 20 Stock Prices 25 30 35 1 5 10 15 EBP 20 25 30 35 1 5 10 20 25 30 35 15 VIX 1 0.8 0.6 0.4 0.2 0 1 5 10 15 20 Furlanetto Ravazzolo Sarferaz 25 30 35 Supply Demand Investment Housing Credit Uncertainty Residual Identification of Financial Factors September 2015 15 / 19 IRF credit shock −3 −3 GDP x 10 Prices x 10 10 5 5 0 0 −5 1 5 10 15 20 25 30 35 −5 1 5 10 Investment 0.02 0 0 −0.05 1 5 10 15 20 15 20 25 30 35 25 30 35 25 30 35 Stock Prices 0.05 25 30 35 −0.02 1 5 10 15 Credit to real estate ratio 20 EBP 0.02 0.2 0 0 −0.02 −0.04 1 5 10 15 20 25 30 35 30 35 −0.2 1 5 10 15 20 VIX 0.2 0 −0.2 1 5 10 Furlanetto Ravazzolo Sarferaz 15 20 25 Identification of Financial Factors September 2015 16 / 19 IRF uncertainty shock −3 GDP Prices x 10 0.01 2 0 0 −2 −0.01 1 5 10 15 20 25 30 35 −4 1 5 10 Investment 15 20 25 30 35 25 30 35 25 30 35 Stock Prices 0.05 0.02 0.01 0 0 −0.05 1 5 10 15 20 25 30 35 −0.01 1 5 10 15 Credit to real estate ratio 20 EBP 0.04 0.2 0.02 0 0 −0.02 1 5 10 15 20 25 30 35 30 35 −0.2 1 5 10 15 20 VIX 0.2 0 −0.2 1 5 10 Furlanetto Ravazzolo Sarferaz 15 20 25 Identification of Financial Factors September 2015 17 / 19 IRF housing shock −3 GDP 10 0.01 5 0 0 −0.01 −5 1 5 10 15 20 Prices x 10 0.02 25 30 35 1 5 10 Investment 0.02 0 0 −0.1 1 5 10 15 20 15 25 30 35 −0.02 1 5 10 15 Credit to real estate ratio 0.2 0 0 1 5 10 15 20 25 30 35 25 20 25 30 35 25 30 35 EBP 0.05 −0.05 20 Stock Prices 0.1 30 35 30 35 −0.2 1 5 10 15 20 VIX 0.2 0 −0.2 1 5 10 Furlanetto Ravazzolo Sarferaz 15 20 25 Identification of Financial Factors September 2015 18 / 19 Conclusion We have identified (several) financial shocks in a sign restricted VAR Financial shocks are important Financial shocks are non-inflationary Interpretation of financial shocks: support for housing shocks No support for uncertainty shocks and VIX is not driven by only one shock Furlanetto Ravazzolo Sarferaz Identification of Financial Factors September 2015 19 / 19
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