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Buy and Sell Timing Decisions by Mutual Fund Managers

√. Buy and Sell Timing Decisions by Mutual Fund Managers. Rajiv D. Banker Janice Chen Fox School of Business Temple University. Theme of the Paper. √. Job security and compensation incentives imply that active fund managers have superior ability to time the market in buy or sell trades

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Buy and Sell Timing Decisions by Mutual Fund Managers

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  1. Buy and Sell Timing Decisions by Mutual Fund Managers Rajiv D. Banker Janice Chen Fox School of Business Temple University

  2. Theme of the Paper √ • Job security and compensation incentives imply that active fund managers have superior ability to time the market in buy or sell trades • Psychological biases, such as disposition or endowment effects, may inhibit efficient timing • Data on 18 fund managers at one firm spanning one year (2005) • We find fund managers exhibit good buy and sell timing ability • Actual trading strategy outperforms both momentum and contrarian strategies

  3. Mutual Funds • A mutual fund is a trust that pools the savings of a number of investors • In end 2007, the combined assets of mutual funds in the U.S. were $12 trillion • In early 2008, the worldwide value of all mutual funds totaled more than $26 trillion • Mutual fund companies competed vigorously to attract investor funds

  4. Fund Manager Performance Stock Picking Ability Market Timing Ability Fama (1972) Wermers (1997) Jiang et al. (2007) Bollen and Busse (2001) Grinblatt and Titman (1989, 1993)

  5. Principal Hypothesis √ Fund managers have the ability to time their buy and sell trades efficiently Timing ability is critical for fund managers: • High liquidity and frequent trading activities • Replacement of less successful fund managers • High investment turnover rate • Bonuses based on fund performance

  6. Measures of Timing AbilityBased on only fund-level data √ • Treynor and Mazuy (1966) • Henriksson and Merton (1981) • Jiang et al. (2007) Artificial timing bias: time-varying parameter problem

  7. Behavioral Finance Studies √ • Psychological biases inhibit performance • Overconfidence explains reduction in investors’ performance due to excessive trading (Barber and Odean 2000, 2001, 2002) • Fund managers exhibit herding behavior (Grinblatt et al. 1995) • Disposition effect (Shefrin and Statman 1985) • Endowment effect (Thaler, 1980)

  8. Prospect TheoryKahneman and Tversky 1979 VALUE LOSSES

  9. Disposition Effect • Disposition effect is an implication of prospect theory (Kahneman and Tversky 1979) applied to investment decisions • Disposition effect reflects the tendency of investors to sell winners too early and hold on to losers too long (Shefrin and Statman 1985)

  10. Disposition Effects on Trading √ • Individual investors sell winners early and hold on to losers (Odean 1998) • Professional managers also exhibit disposition bias (Grinblatt and Keloharju 2001, Scherbina and Jin 2005) • Disposition effect may lead to inefficient timing decisions for buy and sell trades

  11. Endowment Effect √ • People often demand much more to give up an object • Tversky and Kahneman (1991) attribute this phenomenon to loss aversion (tendency to strongly prefer avoiding losses than acquiring gains) • Endowment effect may lead to inefficient timing decisions for buy and sell trades

  12. Alternative Trading Strategies • Contrarian Strategy Buying losers and selling winners (De Bondt and Thaler 1985, 1987) • Momentum Strategy Buying winners and selling losers (Jegadeesh and Titman, 1993) • If fund managers are good at timing their trades, they should outperform these simple strategies

  13. Hypothesis 2 • The actual trading strategy of fund managers outperforms both the contrarian strategy and the momentum strategy trading the same stocks

  14. Sample Data √ • Transaction-based datasets • 11,906 buy transactions 8,465 sell transactions • Each transaction has trading volume (quantity), market value, cumulative excess returns (3, 6 month pre-trade returns and 3, 6 month post-trade returns). • There are 18 fund managers • Our transaction dataset is proprietary and spans one calendar year 2005

  15. Four Time Periods for Annualized Excess Returns √ All 4 time periods are calibrated relative to the date of trade

  16. Types of Traded Stocks

  17. Empirical Results • Buy sample: The medians of annualized excess returns are significantly negative in pre-trade periods while significantly positive in post-trade periods • Sell sample: The medians of annualized excess returns are significantly positive in pre-trade periods while significantly negative in a post-trade period

  18. Buy TransactionsMedian Excess Returns √ 1.44 0.31 -6 -6 -3 0 +3 +6 -3 +3 -2.17 -5.90

  19. Sell TransactionsMedian Excess Returns √ 8.78 4.05 1.48 -6 -3 0 +3 +6 -6 -3 -1.98

  20. Buy Sub-Sample AnalysisMedian Excess Returns

  21. Sell Sub-Sample AnalysisMedian Excess Returns

  22. Paired TestsPre-Trade Minus Post-Trade Median Excess Returns

  23. Buy Sample Paired TestsPre-Trade Minus Post-Trade Median Excess Returns

  24. Sell Sample Paired TestsPre-Trade Minus Post-Trade Median Excess Returns

  25. Growth vs. ValuePaired Test

  26. Large Cap vs. Small CapPaired Test

  27. Overweighted vs. UnderweightedPaired Test

  28. Momentum and Contrarian Strategies • Winners are stocks with positive excess returns in 3 months preceding trade date • Losers are stocks with negative excess returns in 3 months preceding trade date • Momentum strategy mimicking portfolios buy winners and sell losers • Contrarian strategy mimicking portfolios buy losers and sell winners

  29. Comparison with Momentum Strategy

  30. Comparison with Contrarian Strategy

  31. Robustness Check √ • Results survive when performance of trading strategies is evaluated relative to distribution of simulated excess returns (Kothari and Warner, 2001) drawn from the CRSP population of stocks

  32. Conclusion √ • Managers have a good market timing ability to buy stocks at a low price and sell at a high price • Fund managers are not overly influenced by psychological biases such as the endowment effect or the disposition effect • Fund managers outperform both the momentum strategy and the contrarian strategy • Caveat: Data for only one company for one year

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