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Mutual fund performance at long horizons

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  • Bessembinder, Hendrik
  • Cooper, Michael J.
  • Zhang, Feng

Abstract

The percentage of U.S. equity mutual funds that outperform the SPY ETF over the last 30 years decreases substantially as the horizon over which returns are measured is increased. Further, some funds with positive monthly alpha estimates have negative long-horizon abnormal returns. These results reflect positive skewness in the distribution of fund returns that increases with horizon, and highlight the limitations of conditional arithmetic means of short-horizon returns (e.g., alpha) for long-horizon investors. We tabulate an aggregate wealth loss of $1.02 trillion to mutual fund investors over our 30-year sample, when opportunity costs are based on beta-adjusted SPY returns.

Suggested Citation

  • Bessembinder, Hendrik & Cooper, Michael J. & Zhang, Feng, 2023. "Mutual fund performance at long horizons," Journal of Financial Economics, Elsevier, vol. 147(1), pages 132-158.
  • Handle: RePEc:eee:jfinec:v:147:y:2023:i:1:p:132-158
    DOI: 10.1016/j.jfineco.2022.10.006
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    1. Thomas Gilbert & Christopher Hrdlicka & Jonathan Kalodimos & Stephan Siegel, 2014. "Daily Data is Bad for Beta: Opacity and Frequency-Dependent Betas," The Review of Asset Pricing Studies, Society for Financial Studies, vol. 4(1), pages 78-117.
    2. Steven N. Kaplan & Antoinette Schoar, 2005. "Private Equity Performance: Returns, Persistence, and Capital Flows," Journal of Finance, American Finance Association, vol. 60(4), pages 1791-1823, August.
    3. Ľuboš Pástor & Robert F. Stambaugh, 2012. "On the Size of the Active Management Industry," Journal of Political Economy, University of Chicago Press, vol. 120(4), pages 740-781.
    4. Longstaff, Francis A, 1989. " Temporal Aggregation and the Continuous-Time Capital Asset Pricing Model," Journal of Finance, American Finance Association, vol. 44(4), pages 871-887, September.
    5. Jonathan B. Berk & Richard C. Green, 2004. "Mutual Fund Flows and Performance in Rational Markets," Journal of Political Economy, University of Chicago Press, vol. 112(6), pages 1269-1295, December.
    6. Levhari, David & Levy, Haim, 1977. "The Capital Asset Pricing Model and the Investment Horizon," The Review of Economics and Statistics, MIT Press, vol. 59(1), pages 92-104, February.
    7. Berk, Jonathan B. & van Binsbergen, Jules H., 2015. "Measuring skill in the mutual fund industry," Journal of Financial Economics, Elsevier, vol. 118(1), pages 1-20.
    8. Oliver Boguth & Murray Carlson & Adlai Fisher & Mikhail Simutin, 2016. "Horizon Effects in Average Returns: The Role of Slow Information Diffusion," Review of Financial Studies, Society for Financial Studies, vol. 29(8), pages 2241-2281.
    9. Dichev, Ilia D. & Yu, Gwen, 2011. "Higher risk, lower returns: What hedge fund investors really earn," Journal of Financial Economics, Elsevier, vol. 100(2), pages 248-263, May.
    10. John D. Lyon & Brad M. Barber & Chih‐Ling Tsai, 1999. "Improved Methods for Tests of Long‐Run Abnormal Stock Returns," Journal of Finance, American Finance Association, vol. 54(1), pages 165-201, February.
    11. Arditti, Fred D & Levy, Haim, 1975. "Portfolio Efficiency Analysis in Three Moments: The Multiperiod Case," Journal of Finance, American Finance Association, vol. 30(3), pages 797-809, June.
    12. Kenneth R. French, 2008. "Presidential Address: The Cost of Active Investing," Journal of Finance, American Finance Association, vol. 63(4), pages 1537-1573, August.
    13. Ilia D. Dichev, 2007. "What Are Stock Investors’ Actual Historical Returns? Evidence from Dollar-Weighted Returns," American Economic Review, American Economic Association, vol. 97(1), pages 386-401, March.
    14. Rui Albuquerque, 2012. "Skewness in Stock Returns: Reconciling the Evidence on Firm Versus Aggregate Returns," Review of Financial Studies, Society for Financial Studies, vol. 25(5), pages 1630-1673.
    15. Friesen, Geoffrey C. & Sapp, Travis R.A., 2007. "Mutual fund flows and investor returns: An empirical examination of fund investor timing ability," Journal of Banking & Finance, Elsevier, vol. 31(9), pages 2796-2816, September.
    16. Fama, Eugene F, 1972. "Components of Investment Performance," Journal of Finance, American Finance Association, vol. 27(3), pages 551-567, June.
    17. Kothari, S P & Shanken, Jay & Sloan, Richard G, 1995. "Another Look at the Cross-Section of Expected Stock Returns," Journal of Finance, American Finance Association, vol. 50(1), pages 185-224, March.
    18. Loughran, Tim & Ritter, Jay R, 1995. "The New Issues Puzzle," Journal of Finance, American Finance Association, vol. 50(1), pages 23-51, March.
    19. Edwin J. Elton & Martin J. Gruber & Christopher R. Blake, 2001. "A First Look at the Accuracy of the CRSP Mutual Fund Database and a Comparison of the CRSP and Morningstar Mutual Fund Databases," Journal of Finance, American Finance Association, vol. 56(6), pages 2415-2430, December.
    20. Bessembinder, Hendrik, 2018. "Do stocks outperform Treasury bills?," Journal of Financial Economics, Elsevier, vol. 129(3), pages 440-457.
    21. Juhani T. Linnainmaa, 2013. "Reverse Survivorship Bias," Journal of Finance, American Finance Association, vol. 68(3), pages 789-813, June.
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    More about this item

    Keywords

    Long-horizon performance; Mutual funds; Skewness; Investor wealth loss;
    All these keywords.

    JEL classification:

    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G23 - Financial Economics - - Financial Institutions and Services - - - Non-bank Financial Institutions; Financial Instruments; Institutional Investors

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