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Nonparametric Analysis of Hedge Funds Lifetimes

  • Darolles, Serge
  • Florens, Jean-Pierre
  • Simon, Guillaume

Most of hedge funds databases are now keeping history of dead funds in order to control biases in empirical analysis. It is then possible to use these data for the analysis of hedge funds lifetimes and survivorship. This paper proposes two nonparametric specifications of duration models. First, the single risk model is an alternative to parametric duration models used in the literature. Second, the competing risks model consider the two reasons why hedge funds stop reporting. We apply the two models to hedge funds data and compare our results to the literature. In particular, we show that a cohort effect must be considered. Moreover, the reason of the exit is a crucial information for the analysis of funds' survival as for a large part of disappearing funds, exit cannot be explained by low performance or low level of assets.

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Paper provided by Toulouse School of Economics (TSE) in its series TSE Working Papers with number 10-174.

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Date of creation: Mar 2010
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Handle: RePEc:tse:wpaper:22881
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  1. Lunde, Asger & Timmermann, Allan & Blake, David, 1999. "The hazards of mutual fund underperformance: A Cox regression analysis," Journal of Empirical Finance, Elsevier, vol. 6(2), pages 121-152, April.
  2. Qi Li & Jeffrey Scott Racine, 2006. "Nonparametric Econometrics: Theory and Practice," Economics Books, Princeton University Press, edition 1, volume 1, number 8355.
  3. 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, 06.
  4. Pojarliev, Momtchil & Levich, Richard M., 2010. "Trades of the living dead: Style differences, style persistence and performance of currency fund managers," Journal of International Money and Finance, Elsevier, vol. 29(8), pages 1752-1775, December.
  5. Jaap H. Abbring & Gerard J. van den Berg, 2003. "The Nonparametric Identification of Treatment Effects in Duration Models," Econometrica, Econometric Society, vol. 71(5), pages 1491-1517, 09.
  6. 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.
  7. Qi Li & Jeffrey Scott Racine, 2006. "Density Estimation, from Nonparametric Econometrics: Theory and Practice
    [Nonparametric Econometrics: Theory and Practice]
    ," Introductory Chapters, Princeton University Press.
  8. Fabien Couderc, 2005. "Understanding Default Risk Through Nonparametric Intensity Estimation," FAME Research Paper Series rp141, International Center for Financial Asset Management and Engineering.
  9. 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(03), pages 291-307, September.
  10. Liang, Bing, 2000. "Hedge Funds: The Living and the Dead," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 35(03), pages 309-326, September.
  11. 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, Reading University, revised Jan 2002.
  12. Stephen J. Brown, 2001. "Careers and Survival: Competition and Risk in the Hedge Fund and CTA Industry," Journal of Finance, American Finance Association, vol. 56(5), pages 1869-1886, October.
  13. Darryll Hendricks & Jayendu Patel & Richard Zeckhauser, 1997. "The J-Shape Of Performance Persistence Given Survivorship Bias," The Review of Economics and Statistics, MIT Press, vol. 79(2), pages 161-166, May.
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