In this paper, I examine survivorship bias in hedge fund returns by comparing two large databases. I find that the survivorship bias exceeds 2% per year. Results of survivorship bias by investment styles indicate that the biases are different across styles. I reconcile the conflicting results about survivorship bias in previous studies by showing that the two major hedge fund databases contain different amounts of dissolved funds. Empirical results show that poor performance is the main reason for a fund's disappearance. Furthermore, I find that there are significant differences in fund returs, inception date, net assets value, incentive fee, management fee, and investment styles forthe 465 common funds covered by both databases. Mismatching between reported returns andthe percentage change in NAVs can partially explain the differences in returns.
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Volume (Year): 35 (2000) Issue (Month): 03 (September) Pages: 309-326 Download reference. The following formats are available: HTML
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Nicholas Chan & Mila Getmansky & Shane M. Haas & Andrew W. Lo, 2005.
"Systemic Risk and Hedge Funds,"
NBER Working Papers
11200, National Bureau of Economic Research, Inc.
[Downloadable!] (restricted)
Other versions:
Nicholas Chan & Mila Getmansky & Shane M. Haas & Andrew W. Lo, 2007.
"Systemic Risk and Hedge Funds,"
NBER Chapters,
in: The Risks of Financial Institutions, pages 235-338
National Bureau of Economic Research, Inc.
[Downloadable!]
Baquero, G. & Verbeek, M.J.C.M., 2005.
"A Portrait of Hedge Fund Investors: Flows, Performance and Smart Money,"
Research Paper
ERS-2005-068-F&A Revision, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus Uni.
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