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Survival, Look-Ahead Bias, and Persistence in Hedge Fund Performance

Published online by Cambridge University Press:  06 April 2009

Guillermo Baquero
Affiliation:
gbaquero@rsm.nl, RSM Erasmus University, P.O. Box 1738, 3000 DR Rotterdam, Netherlands
Jenke ter Horst
Affiliation:
mverbeek@rsm.nl, RSM Erasmus University, P.O. Box 1738, 3000 DR Rotterdam, Netherlands
Marno Verbeek
Affiliation:
j.r.terhorst@uvt.nl, Tilburg University, P.O. Box 90153, 5000 LE Tilburg, Netherlands.

Abstract

We analyze the performance persistence in hedge funds taking into account look-ahead bias (multi-period sampling bias). We model liquidation of hedge funds by analyzing how it depends upon historical performance. Next, we use a weighting procedure that eliminates look-ahead bias in measures for performance persistence. In contrast to earlier results for mutual funds, the impact of look-ahead bias is exacerbated for hedge funds due to their greater level of total risk. At the four-quarter horizon, look-ahead bias can be as much as 3.8%, depending upon the decile of the distribution. We find positive persistence in hedge fund quarterly returns after correcting for investment style. The empirical pattern at the annual level is also consistent with positive persistence, but its statistical significance is weak.

Type
Research Article
Copyright
Copyright © School of Business Administration, University of Washington 2005

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References

Ackermann, C.; McEnally, R.; and Ravenscraft, D.The Performance of Hedge Funds: Risk, Return and Incentives.” Journal of Finance, 54 (1999), 833874.CrossRefGoogle Scholar
Agarwal, V., and Naik, N. Y.Multi-Period Performance Persistence Analysis of Hedge Funds.” Journal of Financial and Quantitative Analysis, 35 (2000), 327342.CrossRefGoogle Scholar
Agarwal, V., and Naik, N. Y.Risks and Portfolio Decisions involving Hedge Funds.” Review of Financial Studies, 17 (2004), 6398.CrossRefGoogle Scholar
Agarwal, V.; Daniel, N. D.; and Naik, N. Y. “Flows, Performance, and Managerial Incentives in Hedge Funds.” Unpubl. Working Paper, Georgia State Univ. (2004).CrossRefGoogle Scholar
Berk, J. B., and Green, R. C.Mutual Fund Flows and Performance in Rational Markets.” Journal of Political Economy, 112 (2004), 12691295.CrossRefGoogle Scholar
Bollen, N. P. B., and Busse, J. A.Short-term Persistence in Mutual Fund Performance.” Review of Financial Studies, 18 (2005), 569597.CrossRefGoogle Scholar
Boyson, N. M. “Do Hedge Funds Show Performance Persistence? A New Approach.” Unpubl. Working Paper, Purdue Univ. (2003).Google Scholar
Brown, S. J., and Goetzmann, W. N.Hedge Funds with Style.” Journal of Portfolio Management, 29 (2003), 101112.CrossRefGoogle Scholar
Brown, S. J.; Goetzmann, W. N.; and Ibbotson, R. G.Offshore Hedge Funds: Survival and Performance 1989–1995.” Journal of Business, 72 (1999), 91117.CrossRefGoogle Scholar
Brown, S. J.; Goetzmann, W. N.; Ibbotson, R.; and Ross, S. A.Survivorship Bias in Performance Studies.” Review of Financial Studies, 5 (1992), 553580.CrossRefGoogle Scholar
Brown, S. J.; Goetzmann, W. N.; Ibbotson, R.; and Ross, S. A.The J-Shape of Performance Persistence Given Survivorship Bias.” Review of Economics and Statistics, 79 (1997), 167170.CrossRefGoogle Scholar
Brown, S. J.; Goetzmann, W. N.; and Park, J.Careers and Survival: Competition and Risk in the Hedge Fund and CTA Industry.” Journal of Finance, 56 (2001), 18691886.CrossRefGoogle Scholar
Brown, S. J.; Goetzmann, W. N.; and Ross, S. A.Survival.” Journal of Finance, 50 (1995), 853873.CrossRefGoogle Scholar
Carhart, M. M.On Persistence in Mutual Fund Performance.” Journal of Finance, 52 (1997), 5782.CrossRefGoogle Scholar
Carpenter, J. F., and Lynch, A.Survivorship Bias and Attrition Effects in Measures of Performance Persistence.” Journal of Financial Economics, 54 (1999), 337374.CrossRefGoogle Scholar
Chevalier, J., and Ellison, G.Risk Taking by Mutual Funds as a Response to Incentives.” Journal of Political Economy, 105 (1997), 11671200.CrossRefGoogle Scholar
Fung, W., and Hsieh, D. A.Empirical Characteristics of Dynamic Trading Strategies: The Case of Hedge Funds.” Review of Financial Studies, 10 (1997), 275302.CrossRefGoogle Scholar
Fung, W., and Hsieh, D. A.Performance Characteristics of Hedge Funds and Commodity Funds: Natural vs. Spurious Biases.” Journal of Financial and Quantitative Analysis, 35 (2000), 291307.CrossRefGoogle Scholar
Getmansky, M.; Lo, A. W.; and Makarov, I.. “An Econometric Model of Serial Correlation and Illiquidity in Hedge Fund Returns.” Journal of Financial Economics, 74 (2004), 529610.CrossRefGoogle Scholar
Goetzmann, W. N.; Ingersoll, J.; and Ross, S. A.. “High-Water Marks and Hedge Fund Management Contracts.” Journal of Finance, 58 (2003), 16851718.CrossRefGoogle Scholar
Gruber, M. J.Another Puzzle: The Growth in Actively Managed Mutual Funds.” Journal of Finance, 51 (1996), 783810.CrossRefGoogle Scholar
Hendricks, D.; Patel, J.; and Zeckhauser, R.. “The J-Shape of Performance Persistence Given Survivorship Bias.” Review of Economics and Statistics, 79 (1997), 161170.CrossRefGoogle Scholar
Lhabitant, F. “Assessing Market Risk for Hedge Funds and Hedge Funds Portfolios.” Unpubl. Working Paper, Union Bancaire Privee (Geneva) (2001).CrossRefGoogle Scholar
Liang, B.Hedge Funds: The Living and the Dead.” Journal of Financial and Quantitative Analysis, 35 (2000), 309326.CrossRefGoogle Scholar
Malkiel, B. G.Returns from Investing in Equity Mutual Funds 1971 to 1991.” Journal of Finance, 50 (1995), 549572.CrossRefGoogle Scholar
Sirri, E. R., and Tufano, P.Costly Search and Mutual Fund Flows.” Journal of Finance, 53 (1998), 15891622.CrossRefGoogle Scholar
ter Horst, J. R.; Nijman, T.; and Verbeek, M.. “Eliminating Look-Ahead Bias in Evaluating Persistence in Mutual Fund Performance.” Journal of Empirical Finance, 8 (2001), 345373.CrossRefGoogle Scholar