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Detecting Performance Persistence of Hedge Funds : A Runs-Based Analysis

Author

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  • Rania Hentati-Kaffel

    (CES - Centre d'économie de la Sorbonne - UP1 - Université Paris 1 Panthéon-Sorbonne - CNRS - Centre National de la Recherche Scientifique)

  • Philippe de Peretti

    (CES - Centre d'économie de la Sorbonne - UP1 - Université Paris 1 Panthéon-Sorbonne - CNRS - Centre National de la Recherche Scientifique)

Abstract

In this paper, we use nonparametric runs-based tests to analyze the randomness of returns and the persistence of relative returns of hedge funds. Runs tests are implemented on a universe of hedge extracted from HFR database over the period spanning January 2000 to December 2012. Our findings suggest that i) For about 80% of the funds, we fail to reject the null of randomness of returns, ii) A similar ...gure is found out when focusing on relative returns, iii) Hedge funds that do present clustering in their relative returns are mainly found within Event Driven and Relative Value strategies, iv) For relative returns, results vary with the benchmark nature (hedge or traditional). The paper also emphasizes that runs tests may be a useful tool for investors in their fund' s selection process.

Suggested Citation

  • Rania Hentati-Kaffel & Philippe de Peretti, 2014. "Detecting Performance Persistence of Hedge Funds : A Runs-Based Analysis," Working Papers hal-00984777, HAL.
    • Handle: RePEc:hal:wpaper:hal-00984777
    Note: View the original document on HAL open archive server: https://paris1.hal.science/hal-00984777
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    References listed on IDEAS

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    Cited by:

    1. Pavitra Kumar, 2015. "Hedge Fund Characteristics and Performance Persistence: Evidence from 1996–2006," Quarterly Journal of Finance (QJF), World Scientific Publishing Co. Pte. Ltd., vol. 5(02), pages 1-43.

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    Keywords

    Hedge Funds; Randomness; Runs Tests; Persistence; clustering;
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