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Estimating Short-Run Persistence In Mutual Fund Performance

Author

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  • Jenke Ter Horst
  • Marno Verbeek

Abstract

This paper analyzes the properties of a number of estimators that can be used to estimate short-run persistence in mutual fund returns. When data for different funds are pooled, it is advisable to correct for cross-sectional differences in expected returns. However, these adjustments may induce biases in the estimated persistence coefficients and thus lead to spurious persistence. Theoretical derivations, combined with a Monte Carlo study, show that these biases cannot be neglected for the samples that are typically used in applied work. We also estimate the short-run persistence in two samples of U.S. open-end mutual funds using quarterly returns for 1987-1994. An important conclusion is that the results are quite sensitive to the estimation method that is employed. © 2000 by the President and Fellows of Harvard College and the Massachusetts Institute of Technology

Suggested Citation

  • Jenke Ter Horst & Marno Verbeek, 2000. "Estimating Short-Run Persistence In Mutual Fund Performance," The Review of Economics and Statistics, MIT Press, vol. 82(4), pages 646-655, November.
    • Handle: RePEc:tpr:restat:v:82:y:2000:i:4:p:646-655
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    File URL: http://www.mitpressjournals.org/doi/pdf/10.1162/003465300558984
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    Cited by:

    1. Jank, Stephan & Wedow, Michael, 2015. "Sturm und Drang in money market funds: When money market funds cease to be narrow," Journal of Financial Stability, Elsevier, vol. 16(C), pages 59-70.
    2. Jenke Ter Horst & Marno Verbeek, 2007. "Fund Liquidation, Self-selection, and Look-ahead Bias in the Hedge Fund Industry," Review of Finance, European Finance Association, vol. 11(4), pages 605-632.
    3. Keyi Zhang & Ramazan Gençay, 2019. "Mutual Fund Performance In Developing And Advanced World Networks," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 64(02), pages 399-421, March.

    More about this item

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G23 - Financial Economics - - Financial Institutions and Services - - - Non-bank Financial Institutions; Financial Instruments; Institutional Investors
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

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