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Active Fundamental Performance

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  • Hao Jiang
  • Lu Zheng

Abstract

We propose a new measure, active fundamental performance (AFP), to identify skilled mutual fund managers. AFP evaluates fund investment skills conditioned on the release of firms’ fundamental information. For each fund, we examine the covariance between deviations of its portfolio weights from a benchmark portfolio and the underlying stock performance on days when firms publicize fundamental information. Because asset prices on these information days better reflect firm fundamentals, AFP can more effectively identify investment skills. From 1984 to 2014, funds in the top decile of high AFP subsequently outperformed those in the bottom decile by 2% to 3% per year. Received August 25, 2016; editorial decision December 17, 2017 by Editor Andrew Karolyi. Authors have furnished an Internet Appendix, which is available on the Oxford University Press Web site next to the link to the final published paper online.

Suggested Citation

  • Hao Jiang & Lu Zheng, 2018. "Active Fundamental Performance," The Review of Financial Studies, Society for Financial Studies, vol. 31(12), pages 4688-4719.
    • Handle: RePEc:oup:rfinst:v:31:y:2018:i:12:p:4688-4719.
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    File URL: http://hdl.handle.net/10.1093/rfs/hhy020
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    Cited by:

    1. Jun Kyung Auh & Jennie Bai, 2020. "Cross-Asset Information Synergy in Mutual Fund Families," NBER Working Papers 26626, National Bureau of Economic Research, Inc.
    2. Coen, Patrick, 2021. "Information Loss over the Business Cycle," TSE Working Papers 21-1220, Toulouse School of Economics (TSE).
    3. Bofinger, Yannik & Heyden, Kim J. & Rock, Björn, 2022. "Corporate social responsibility and market efficiency: Evidence from ESG and misvaluation measures," Journal of Banking & Finance, Elsevier, vol. 134(C).
    4. Massa, Massimo & Cheng, Si & Zhang, Hong, 2021. "Tax Evasion and Market Efficiency: Evidence from the FATCA and Offshore Mutual Funds," CEPR Discussion Papers 15747, C.E.P.R. Discussion Papers.
    5. Li, Zhiyong & Rao, Xiao, 2023. "Exploring the zoo of predictors for mutual fund performance in China," Pacific-Basin Finance Journal, Elsevier, vol. 77(C).
    6. Bai, John Jianqiu & Tang, Yuehua & Wan, Chi & Yüksel, H. Zafer, 2022. "Fund manager skill in an era of globalization: Offshore concentration and fund performance," Journal of Financial Economics, Elsevier, vol. 145(2), pages 18-40.
    7. Jun, Xiao & Ren, He & Sun, Ping-Wen, 2021. "Deriving managerial skills by dissecting holding changes of mutual funds: Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 68(C).
    8. Doron Avramov & Si Cheng & Allaudeen Hameed, 2020. "Mutual Funds and Mispriced Stocks," Management Science, INFORMS, vol. 66(6), pages 2372-2395, June.
    9. Ping‐Wen Sun & Zipeng Wen, 2023. "Stock return predictability of the cumulative abnormal returns around the earnings announcement date: Evidence from China," International Review of Finance, International Review of Finance Ltd., vol. 23(1), pages 58-86, March.
    10. Eliezer Fich & Viktoriya Lantushenko & Clemens Sialm, 2019. "Institutional Trading Around M&A Announcements," NBER Working Papers 25814, National Bureau of Economic Research, Inc.
    11. Qiyuan Peng & Sheri Tice & Ling Zhou, 2023. "Mutual funds and stock fundamentals," Review of Quantitative Finance and Accounting, Springer, vol. 60(4), pages 1329-1361, May.
    12. John Ammer & John Rogers & Gang Wang & Yang Yu, 2023. "Chinese Asset Managers’ Monetary Policy Forecasts and Fund Performance," Management Science, INFORMS, vol. 69(1), pages 598-616, January.
    13. Martineau, Charles, 2021. "Rest in Peace Post-Earnings Announcement Drift," SocArXiv z7k3p, Center for Open Science.
    14. Peng, Cameron & Wang, Chen, 2021. "Factor demand and factor returns," LSE Research Online Documents on Economics 118884, London School of Economics and Political Science, LSE Library.

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