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An Examination of Mutual Fund Timing Ability Using Monthly Holdings Data

Author

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  • Edwin J. Elton
  • Martin J. Gruber
  • Christopher R. Blake

Abstract

In this paper, the authors use monthly holdings to study timing ability. These data differ from holdings data used in previous studies in that the authors' data have a higher frequency and include a full range of securities, not just traded equities. Using a one-index model, the authors find, as do two recent studies, that management appears to have positive and statistically significant timing ability. When a multiindex model is used, the authors show that timing decisions do not result in an increase in performance, whether timing is measured using conditional or unconditional sensitivities. The authors show that sector rotation decisions with respect to high-tech stocks are a major contribution to negative timing. Copyright 2011, Oxford University Press.

Suggested Citation

  • Edwin J. Elton & Martin J. Gruber & Christopher R. Blake, 2011. "An Examination of Mutual Fund Timing Ability Using Monthly Holdings Data," Review of Finance, European Finance Association, vol. 16(3), pages 619-645.
    • Handle: RePEc:oup:revfin:v:16:y:2011:i:3:p:619-645
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    File URL: http://hdl.handle.net/10.1093/rof/rfr007
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    Citations

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    Cited by:

    1. Tchamyou, Vanessa S. & Asongu, Simplice A., 2017. "Conditional market timing in the mutual fund industry," Research in International Business and Finance, Elsevier, vol. 42(C), pages 1355-1366.
    2. Marcin Kacperczyk & Stijn Van Nieuwerburgh & Laura Veldkamp, 2014. "Time-Varying Fund Manager Skill," Journal of Finance, American Finance Association, vol. 69(4), pages 1455-1484, August.
    3. Angelidis, Timotheos & Giamouridis, Daniel & Tessaromatis, Nikolaos, 2013. "Revisiting mutual fund performance evaluation," Journal of Banking & Finance, Elsevier, vol. 37(5), pages 1759-1776.
    4. Gaurav Singh Chauhan, 2019. "Performance attribution of mutual funds in India: outperformance or mis‐representation?," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 59(S1), pages 383-409, April.
    5. Venessa S. Tchamyou & Simplice A. Asongu & Jacinta C. Nwachukwu, 2018. "Effects of asymmetric information on market timing in the mutual fund industry," International Journal of Managerial Finance, Emerald Group Publishing Limited, vol. 14(5), pages 542-557, May.
    6. 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.
    7. Laudenbach, Christine & Loos, Benjamin & Pirschel, Jenny & Wohlfart, Johannes, 2020. "The trading response of individual investors to local bankruptcies," SAFE Working Paper Series 272, Leibniz Institute for Financial Research SAFE.
    8. Christine Laudenbach & Benjamin Loos & Jenny Pirschel & Johannes Wohlfart, 2020. "The Trading Response of Individual Investors to Local Bankruptcies," CESifo Working Paper Series 8191, CESifo.
    9. Dayani, Arash, 2022. "CEO inside debt and mutual fund investment decisions," Journal of Banking & Finance, Elsevier, vol. 145(C).
    10. Pankaj K. Agarwal & H. K. Pradhan, 2018. "Mutual Fund Performance Using Unconditional Multifactor Models: Evidence from India," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 17(2_suppl), pages 157-184, August.

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