IDEAS home Printed from https://ideas.repec.org/a/kap/fmktpm/v29y2015i4p301-335.html
   My bibliography  Save this article

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

Author

Listed:
  • 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

Suggested Citation

  • 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
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11408-015-0255-3
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s11408-015-0255-3?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ferson, Wayne E., 2013. "Investment Performance: A Review and Synthesis," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, volume 2, chapter 0, pages 969-1010, Elsevier.
    2. Matallín-Sáez, Juan Carlos & Soler-Domínguez, Amparo & Tortosa-Ausina, Emili, 2016. "On the robustness of persistence in mutual fund performance," The North American Journal of Economics and Finance, Elsevier, vol. 36(C), pages 192-231.
    3. Elton, Edwin J. & Gruber, Martin J., 2013. "Mutual Funds," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, volume 2, chapter 0, pages 1011-1061, Elsevier.
    4. Russ Wermers & Tong Yao & Jane Zhao, 2012. "Forecasting Stock Returns Through an Efficient Aggregation of Mutual Fund Holdings," The Review of Financial Studies, Society for Financial Studies, vol. 25(12), pages 3490-3529.
    5. Gupta-Mukherjee, Swasti, 2013. "When active fund managers deviate from their peers: Implications for fund performance," Journal of Banking & Finance, Elsevier, vol. 37(4), pages 1286-1305.
    6. Cuthbertson, Keith & Nitzsche, Dirk & O'Sullivan, Niall, 2016. "A review of behavioural and management effects in mutual fund performance," International Review of Financial Analysis, Elsevier, vol. 44(C), pages 162-176.
    7. Grønborg, Niels S. & Lunde, Asger & Timmermann, Allan & Wermers, Russ, 2021. "Picking funds with confidence," Journal of Financial Economics, Elsevier, vol. 139(1), pages 1-28.
    8. Li, Zhiyong & Rao, Xiao, 2023. "Exploring the zoo of predictors for mutual fund performance in China," Pacific-Basin Finance Journal, Elsevier, vol. 77(C).
    9. Moneta, Fabio, 2015. "Measuring bond mutual fund performance with portfolio characteristics," Journal of Empirical Finance, Elsevier, vol. 33(C), pages 223-242.
    10. Wayne Ferson & Junbo L Wang, 2021. "A Panel Regression Approach to Holdings-Based Fund Performance Measures [Multiperiod performance persistence analysis of hedge funds]," The Review of Asset Pricing Studies, Society for Financial Studies, vol. 11(4), pages 695-734.
    11. Victor DeMiguel & Javier Gil-Bazo & Francisco J. Nogales & André A. P. Santos, 2021. "Can Machine Learning Help to Select Portfolios of Mutual Funds?," Working Papers 1245, Barcelona School of Economics.
    12. Nain, Amrita & Yao, Tong, 2013. "Mutual fund skill and the performance of corporate acquirers," Journal of Financial Economics, Elsevier, vol. 110(2), pages 437-456.
    13. Hunter, David & Kandel, Eugene & Kandel, Shmuel & Wermers, Russ, 2014. "Mutual fund performance evaluation with active peer benchmarks," Journal of Financial Economics, Elsevier, vol. 112(1), pages 1-29.
    14. Ekholm, Anders G., 2012. "Portfolio returns and manager activity: How to decompose tracking error into security selection and market timing," Journal of Empirical Finance, Elsevier, vol. 19(3), pages 349-358.
    15. Jiang, George J. & Zaynutdinova, Gulnara R. & Zhang, Huacheng, 2021. "Stock-selection timing," Journal of Banking & Finance, Elsevier, vol. 125(C).
    16. Omneya Abdelsalam & Meryem Duygun & Juan Carlos Matallín-Sáez & Emili Tortosa-Ausina, 2014. "Is Ethical Money Sensitive to Past Returns? The Case of Portfolio Constraints and Persistence of Islamic and Socially Responsible Funds," Working Papers 2014/19, Economics Department, Universitat Jaume I, Castellón (Spain).
    17. Ľuboš Pástor & Robert F. Stambaugh & Lucian A. Taylor, 2017. "Do Funds Make More When They Trade More?," Journal of Finance, American Finance Association, vol. 72(4), pages 1483-1528, August.
    18. 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.
    19. Omneya Abdelsalam & Meryem Duygun & Juan Carlos Matallín-Sáez & Emili Tortosa-Ausina, 2017. "Is Ethical Money Sensitive to Past Returns? The Case of Portfolio Constraints and Persistence in Islamic Funds," Journal of Financial Services Research, Springer;Western Finance Association, vol. 51(3), pages 363-384, June.
    20. Pástor, Ľuboš & Stambaugh, Robert F. & Taylor, Lucian A., 2015. "Scale and skill in active management," Journal of Financial Economics, Elsevier, vol. 116(1), pages 23-45.

    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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:kap:fmktpm:v:29:y:2015:i:4:p:301-335. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.