Recent Developments in Behavioral Finance Terrance Odean University of California, Berkeley The 2nd Annual Conference on Personal Risk Management The Individual Finance and Insurance Decisions (IFID) Centre Investor’s problem: Choose portfolio of assets. • Estimate probabilities (i.e., risks and rewards) • Match with own preferences, i.e., choose. 1 Estimating Probabilities • • • • • It happened to me. It happened to my friends. I can easily remember it happening. It happened recently. I can easily imagine how it could happen. Habits of Individual Investors • Trade too often. • Hold on to losers. • Chase the action. 2 When All Traders Are Above Average (Odean, 1998, Journal of Finance) • Trade more. • Earn less. • Underdiversify. • Volatility increases. • Market depth increases. Do Investors Trade Too Much? Odean, 1999, American Economic Review Average Returns Following Purchases and Sales Stocks Bought Minus Stocks Sold 4 Months Later 1 Year Later 2 Years Later -1.45 -3.22 -3.57 3 Excluding Non-Speculative Trades Average Returns Following Speculative Purchases and Sales 4 Months 1 Year Later Later Stocks Bought Minus Stocks Sold -5.07 -2.46 2 Years Later -8.61 Trading is Hazardous to Your Wealth Barber and Odean, 2000, Journal of Finance Percent Annual Retur Monthly Turnover Monthly Turnover and Annual Performance of Individual Investors 25 20 15 Net Return Turnover 10 5 0 1 (Low Turnover) 2 3 4 5 (High Turnover) 4 Boys will be Boys Barber and Odean, 2001, Quarterly Journal of Economics, Percent Annual Turnover 100 80 60 40 20 0 All Women Single Men “Own Benchmark” Annual Net Returns 0 All All Men Women Single Single Women Men -1 -2 -3 Don’t gamble ... 5 Are Investors Reluctant to Realize Their Losses? Journal of Finance, 1998 2.5 2 1.5 1 0.5 ec D ov ct N ep O S l ug Ju A Ja n Fe b M ar A pr M ay Ju n 0 Proportion of Gains Realized / Proportion of Losses Realized All that Glitters: The Effect of Attention and News on the Buying Behavior of Individual and Institutional Investors • Thousands of stocks. • Bounded rationality and processing ability. • Limit search to stocks that catch attention. • Investors buy stocks that catch their attention. 6 Individuals • Buying – Big search problem, bounded rationality (vs.) Institutions • Buying – Big search problem, but many resources • Time to consider more stocks • Computers to filter choice set • Rules to determine or limit decision; e.g., sector specific search, specific P/E or growth criteria • Selling – No search problem • Small portfolios • Few short sales • Selling – Potential search problem • Large portfolio from which to sell • More likely to sell short than individuals How do individual investors solve the search problem? • They “limit” search to stock that catch their attention. • Investors don’t buy everything that catches their attention. • But, mostly, they buy only stocks that do. – Contrarian – Trend chaser 7 When do stocks attract ATTENTION? • Abnormal volume • Extreme price moves • News Abnormal Volume Sort Individuals Imbalance by number of trades Percent Order Imbalance . 40 Large Discount Brokerage Large Retail Brokerage Small Discount Brokerage 0 1 2 3 4 5 6 7 8 9 10a 10b -40 Partitions of Stocks Sorted on Current Day's Abnormal Trading Volume Institutions 8 Return Sort Individuals Imbalance by number of trades Percent Order Imbalance 30 25 Large Discount Brokerage 20 Small Discount Brokerage 15 Large Retail Brokerage 10 5 0 1a 1b 2 3 4 5 6 7 8 9 10a 10b -5 Partitions of Stocks Sorted on Previous Day's Return Institutions No News vs. News Percent Order Imbalance Order imbalance by number of trades 20 Large Discount Brokerage 15 10 Large Retail Brokerage 5 0 -5 No News News Small Discount Brokerage News vs. No News The Queen … 9 Cumulative Mean Net Purchases of IPOs by Underpricing Category in First Month Following Offer 3.5 R<0 0≤R<10% 10%≤R<20% 20%≤R 3.0 2.0 1.5 1.0 0.5 0.0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 Trading Day Too Many Cooks Spoil the Profits Barber & Odean, 2000, Financial Analysts Journal 20.0 Annualized Geometric Mean (%) Basis Points of Own 2.5 19.0 18.0 18.7 18.0 17.8 17.0 17.0 16.4 16.0 Gross 15.0 14.1 Net 14.0 13.0 12.0 11.0 10.0 Index Fund Individuals Clubs 10 10 39 15 2 (B es t) 1 3 4 5 6 7 8 10 9 7 6 4 3 3 2 9 45 40 35 30 25 20 15 10 5 0 (W or st) Percentage of Buys Mutual Funds: Money Pours into Last Year’s Winners Performance Decile Online Investors: Do the Slow Die First? Barber and Odean, 2000 • 1,607 “early” online investors (1991-1996). • Size-matched counterparts 11 Investors who go online: • Perform well before going online. • Accelerate trading after going online. • Trade more speculatively after going online, • Perform poorly after going online. Frictions and Self-Control • No chocolate chip cookies in my cupboard. 12 Turnover Annualized Turnover (%) 140% 120% Size-Matched 100% Online 80% 60% 40% 20% 24 20 16 8 12 4 0 -4 -8 -1 2 -1 6 -2 0 -2 4 0% Event Month (0 is month of first online trade) Can the biases of individual investors affect asset prices? • Limits of Arbitrage • Systematic buying and selling – Across investors – Over time 13 Correlation of % Buys in Month t with % Buys in Month t+L Horizon (L): Group 1 with Group 2 with Group 1 with Group 1 Group 2 Group 2 0 100.0% 100.0% 75.1% 56.7 58.6 55.8 45.8 46.4 45.5 39.8 40.8 41.1 36.5 34.9 36.5 1 2 3 4 Large Retail Brokerage Evolution of Correlations (Retail) (Table 2) 100 90 80 70 60 50 40 30 20 10 0 Group 1 Group 1 with Group 2 0 2 4 6 8 10 12 14 16 18 20 22 24 Event Month 14 Household Investments in Equity Markets has Grown • In 1975, 31% of household financial assets in equities and mutual funds. • In 1998, 61% of household financial assets in equities and mutual funds. Many Investors are Inexperienced • 1995-1998, number of households investing directly in stock grew by over 30%. 15 New Investors Learn What is Expected of them and What to Expect from… • Friends and family. • Financial advisors. • Books, magazines articles, and news. reports. • And advertising. Investing Advice from Television Commercials Barber, Elsbach, & Odean (2002) • Analyzed 500 television brokerage commercials from 1990s • Rated for advice, mood, and images encouraging overconfidence, and illusion of control • Trend during 90s toward more humor, less sound advice, and overconfidence 16 Mood and Investing • Good mood: – more spontaneous – more creative – less critical decision making. • Serious mood: – Less spontaneous, – more analytical, – more critical decision making. – Elsbach and Barr (1999); Schwarz (1999). • Online ads: Trading is fun. Traditional Investment Advice • • • • • Invest for the long run. Buy and hold. Diversity. Control trading costs. Pay attention to taxes. 17 Percent of All Brokerage Commercials Containing Selected Messages: 1990-2000 Subperiods 19901995 19962000 t-statistic for differences in subperiods Sound financial advice 2.65% 3.17% 1.34 Unsound financial advice 2.65% 5.01% 1.63 Overconfidence 9.73% 24.01% 4.10 Illusion of control 2.65% 10.82% 3.04 Positive mood 12.39% 32.98% 5.11 Serious Mood 67.26% 45.65% -5.29 What Investors Learn from Ads • You are in control. • Data = expertise. • Trading is easy; anybody can do it. • Trading is fun & exciting. • Opportunities may arise at any moment. Be vigilant; trade quickly and actively. 18 http://faculty.haas.berkeley.edu/odean 19
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