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The win–loss ratio as an ability signal of mutual fund managers: a measure that is less influenced by luck

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  • Y. Chung
  • Thomas Kim

Abstract

To better identify skilled mutual fund managers, we develop a mutual fund performance predictor that is less influenced by luck. We posit that it is unlikely for a fund manager to consistently hold numerous above median performing stocks unless he has stock-picking ability. Using the number of above median performing stocks as a fund performance predictor (win–loss ratio), we find that a higher win–loss ratio in 1 year is associated with 2–4 % additional risk-adjusted return in the next. The ratio also has an economically and statistically significant predictive power after controlling for other fund performance predictors in the literature. Copyright Swiss Society for Financial Market Research 2015

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  • Y. Chung & Thomas Kim, 2015. "The win–loss ratio as an ability signal of mutual fund managers: a measure that is less influenced by luck," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 29(4), pages 301-335, November.
  • Handle: RePEc:kap:fmktpm:v:29:y:2015:i:4:p:301-335
    DOI: 10.1007/s11408-015-0255-3
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    1. Grinblatt, Mark & Titman, Sheridan, 1993. "Performance Measurement without Benchmarks: An Examination of Mutual Fund Returns," The Journal of Business, University of Chicago Press, vol. 66(1), pages 47-68, January.
    2. Kenneth R. French, 2008. "Presidential Address: The Cost of Active Investing," Journal of Finance, American Finance Association, vol. 63(4), pages 1537-1573, August.
    3. Marcin Kacperczyk & Clemens Sialm & Lu Zheng, 2008. "Unobserved Actions of Mutual Funds," The Review of Financial Studies, Society for Financial Studies, vol. 21(6), pages 2379-2416, November.
    4. Marcin Kacperczyk & Amit Seru, 2007. "Fund Manager Use of Public Information: New Evidence on Managerial Skills," Journal of Finance, American Finance Association, vol. 62(2), pages 485-528, April.
    5. Randolph B. Cohen & Joshua D. Coval & Ľuboš Pástor, 2005. "Judging Fund Managers by the Company They Keep," Journal of Finance, American Finance Association, vol. 60(3), pages 1057-1096, June.
    6. Laurent Barras & Olivier Scaillet & Russ Wermers, 2010. "False Discoveries in Mutual Fund Performance: Measuring Luck in Estimated Alphas," Journal of Finance, American Finance Association, vol. 65(1), pages 179-216, February.
    7. Copeland, Thomas E. & Mayers, David, 1982. "The value line enigma (1965-1978) : A case study of performance evaluation issues," Journal of Financial Economics, Elsevier, vol. 10(3), pages 289-321, November.
    8. K. J. Martijn Cremers & Antti Petajisto, 2009. "How Active Is Your Fund Manager? A New Measure That Predicts Performance," The Review of Financial Studies, Society for Financial Studies, vol. 22(9), pages 3329-3365, September.
    9. Carhart, Mark M, 1997. "On Persistence in Mutual Fund Performance," Journal of Finance, American Finance Association, vol. 52(1), pages 57-82, March.
    10. Jennifer Huang & Clemens Sialm & Hanjiang Zhang, 2011. "Risk Shifting and Mutual Fund Performance," The Review of Financial Studies, Society for Financial Studies, vol. 24(8), pages 2575-2616.
    11. Daniel, Kent, et al, 1997. "Measuring Mutual Fund Performance with Characteristic-Based Benchmarks," Journal of Finance, American Finance Association, vol. 52(3), pages 1035-1058, July.
    12. 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.
    13. Nicolas P. B. Bollen, 2005. "Short-Term Persistence in Mutual Fund Performance," The Review of Financial Studies, Society for Financial Studies, vol. 18(2), pages 569-597.
    14. Martijn Cremers & Antti Petajisto, 2006. "How Active is Your Fund Manager? A New Measure That Predicts Performance," Yale School of Management Working Papers amz2370, Yale School of Management, revised 01 May 2009.
    15. Marcin Kacperczyk & Clemens Sialm & Lu Zheng, 2005. "On the Industry Concentration of Actively Managed Equity Mutual Funds," Journal of Finance, American Finance Association, vol. 60(4), pages 1983-2011, August.
    16. Wayne Ferson & Kenneth Khang, 2002. "Conditional Performance Measurement Using Portfolio Weights: Evidence for Pension Funds," NBER Working Papers 8790, National Bureau of Economic Research, Inc.
    17. Ferson, Wayne E & Schadt, Rudi W, 1996. "Measuring Fund Strategy and Performance in Changing Economic Conditions," Journal of Finance, American Finance Association, vol. 51(2), pages 425-461, June.
    18. Cornell, Bradford, 1979. "Asymmetric information and portfolio performance measurement," Journal of Financial Economics, Elsevier, vol. 7(4), pages 381-390, December.
    19. Elton, Edwin J. & Gruber, Martin J. & Blake, Christopher R., 2011. "Holdings Data, Security Returns, and the Selection of Superior Mutual Funds," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 46(2), pages 341-367, April.
    20. Avramov, Doron & Wermers, Russ, 2006. "Investing in mutual funds when returns are predictable," Journal of Financial Economics, Elsevier, vol. 81(2), pages 339-377, August.
    21. Robert Kosowski & Allan Timmermann & Russ Wermers & Hal White, 2006. "Can Mutual Fund “Stars” Really Pick Stocks? New Evidence from a Bootstrap Analysis," Journal of Finance, American Finance Association, vol. 61(6), pages 2551-2595, December.
    22. Brown, Stephen J, et al, 1992. "Survivorship Bias in Performance Studies," The Review of Financial Studies, Society for Financial Studies, vol. 5(4), pages 553-580.
    23. Hendricks, Darryll & Patel, Jayendu & Zeckhauser, Richard, 1993. "Hot Hands in Mutual Funds: Short-Run Persistence of Relative Performance, 1974-1988," Journal of Finance, American Finance Association, vol. 48(1), pages 93-130, March.
    24. Bailey, Warren & Kumar, Alok & Ng, David, 2011. "Behavioral biases of mutual fund investors," Journal of Financial Economics, Elsevier, vol. 102(1), pages 1-27, October.
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    Cited by:

    1. Qiang Bu, 2018. "Long-term negative fund alpha: Is it caused by bad skill or bad luck?," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 32(1), pages 1-16, February.

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    More about this item

    Keywords

    Mutual funds; Luck vs. skill; Win–loss ratio; Performance evaluation; Holdings data; G11;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions

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