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Welcome to the Dark Side - Hedge Fund Attrition and Survivorship Bias over the period 1994-2001

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  • Gaurav S. Amin

    (ICMA Centre, University of Reading)

  • Harry M. Kat

    (ICMA Centre, University of Reading)

Abstract

Hedge funds exhibit a high rate of attrition that has increased substantially over time. Using data over the period 1994-2001, we show that lack of size, lack of performance and an increasingly aggressive attitude of old and new fund managers alike are the main factors behind this. Although attrition is high, survivorship bias in hedge fund data is quite modest, which reflects the relatively small difference in performance between surviving and defunct funds. Concentrating on survivors only will overestimate the average hedge fund return by around 2% per annum. For small, young, and leveraged funds, however, the bias can be as high as 4-6%. We also find significant survivorship bias in estimates of the standard deviation, skewness and kurtosis of individual hedge fund returns. When not corrected for, this will lead investors to seriously overestimate the benefits of hedge funds. We find fund of funds attrition to be much lower than for hedge funds. Combined with a small difference in performance between surviving and defunct funds of funds, this yields relatively low survivorship bias estimates for funds of funds.

Suggested Citation

  • Gaurav S. Amin & Harry M. Kat, 2001. "Welcome to the Dark Side - Hedge Fund Attrition and Survivorship Bias over the period 1994-2001," ICMA Centre Discussion Papers in Finance icma-dp2002-02, Henley Business School, University of Reading, revised Jan 2002.
  • Handle: RePEc:rdg:icmadp:icma-dp2002-02
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    References listed on IDEAS

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    1. Brown, Stephen J & Goetzmann, William N & Ibbotson, Roger G, 1999. "Offshore Hedge Funds: Survival and Performance, 1989-95," The Journal of Business, University of Chicago Press, vol. 72(1), pages 91-117, January.
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    3. Fung, William & Hsieh, David A., 2000. "Performance Characteristics of Hedge Funds and Commodity Funds: Natural vs. Spurious Biases," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 35(3), pages 291-307, September.
    4. Carl Ackermann & Richard McEnally & David Ravenscraft, 1999. "The Performance of Hedge Funds: Risk, Return, and Incentives," Journal of Finance, American Finance Association, vol. 54(3), pages 833-874, June.
    5. Liang, Bing, 2000. "Hedge Funds: The Living and the Dead," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 35(3), pages 309-326, September.
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    Cited by:

    1. Darolles, Serge & Florens, Jean-Pierre & Simon, Guillaume, 2010. "Nonparametric Analysis of Hedge Funds Lifetimes," TSE Working Papers 10-174, Toulouse School of Economics (TSE).
    2. Denvir, Emily & Hutson, Elaine, 2006. "The performance and diversification benefits of funds of hedge funds," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 16(1), pages 4-22, February.
    3. Clemens Sialm & Zheng Sun & Lu Zheng, 2020. "Home Bias and Local Contagion: Evidence from Funds of Hedge Funds," The Review of Financial Studies, Society for Financial Studies, vol. 33(10), pages 4771-4810.
    4. Wilkens, Marco & Yao, Juan & Jeyasreedharan, Nagaratnam & Oehler, Patrick, 2013. "Measuring the performance of hedge funds using two-stage peer group benchmarks," Working Papers 2013-18, University of Tasmania, Tasmanian School of Business and Economics, revised 01 Jun 2013.
    5. Boldron, François & Fève, Frédérique & Florens, Jean-Pierre & Panet-Amaro, C. & Valognes, C., 2010. "Econometric Models and the Evolution of Post-Offices Network," TSE Working Papers 10-180, Toulouse School of Economics (TSE).
    6. Marina Agranov & Alberto Bisin & Andrew Schotter, 2014. "An experimental study of the impact of competition for Other People’s Money: the portfolio manager market," Experimental Economics, Springer;Economic Science Association, vol. 17(4), pages 564-585, December.

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