Cited by 305Financial Markets and Investment StrategiesFinancial Risk and Volatility ModelingCorporate Finance and Governance

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

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Baquero, Guillermo, ter Horst, Jenke, Verbeek, Marno·2005·Journal of Financial and Quantitative Analysis

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.

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  • Survivorship bias is unlikely to materially affect the findings.

    “Overall, these comparisons show that survivorship bias is unlikely to materially affect our findings.”

    From The Growth and Performance of Artificial Intelligence in Asset Management (2026) · cites this paper as Baquero, Ter Horst, and Verbeek, 2005

    The Introduction says fund survival can bias performance analysis. The Concluding remarks describe a typical 2% annual effect associated with survivorship bias and stress the importance of correcting for it. The paper therefore does not support treating survivorship bias as immaterial; it also cannot establish the effect on the citing authors’ particular findings. (LLM, conf=0.78)

    Checked by a reasoning model — may be wrong.

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  • The requirement of at least 12 months of returns for alpha estimation could introduce an implicit survivorship bias.

    “Although our sample includes both live and dead funds, the requirement of at least 12 months of returns for alpha estimation could introduce an implicit survivorship bias (Baquero, Ter Horst, and Verbeek, 2005).”

    From The Growth and Performance of Artificial Intelligence in Asset Management (2026) · cites this paper as Baquero, Ter Horst, and Verbeek, 2005

    The Introduction (p. not available) says that conditioning on a fund’s survival over consecutive periods can bias performance analysis, even when returns from funds that later disappear are included. Section 4 describes a one-year return-history requirement that makes rankings conditional on survival. The paper calls this look-ahead bias, however, and does not examine a 12-month requirement for alpha estimation specifically. (LLM, conf=0.84)

    Experimental — accuracy not yet measured

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Cites

Flagged first, then by citations

Research works printed but not linked: 22

  1. Ackermann, C., R. McEnally and D. Ravenscraft, 1999, The Perfor- mance of Hedge Funds: Risk, Return and Incentives, Journal of Finance, 54, 833-874.
  2. Agarwal, V., and N.Y. Naik, 2000, Multi-Period Performance Persis- tence Analysis of Hedge Funds, Journal of Financial and Quantitative Analysis, 35, 327-342.
  3. Agarwal, V., and N.Y. Naik, 2004, Risks and Portfolio Decisions involv- ing Hedge Funds, Review of Financial Studies, 17, 63-98.
  4. Bollen, N.P.B., and J.A. Busse, 2004, Short-term Persistence in Mutual Fund Performance, Review of Financial Studies, forthcoming.
  5. Brown, S.J. and W.N. Goetzmann, 2003, Hedge Funds with Style, Jour- nal of Portfolio Management, 29 (2), 101-112.
  6. Brown S.J., W.N. Goetzmann and R.G. Ibbotson, 1999, O¤shore Hedge Funds: Survival and Performance 1989-1995, Journal of Business, 72, 91-117.
  7. Brown, S.J., W.N. Goetzmann, R. Ibbotson and S.A. Ross, 1992, Sur- vivorship Bias in Performance Studies, Review of Financial Studies, 5, 553-580.
  8. Brown, S.J., W.N. Goetzmann, R. Ibbotson and S.A. Ross, 1997, The J-Shape of Performance Persistence Given Survivorship Bias, Review of Economics and Statistics, 79, 167-170.
  9. Brown, S.J., W.N. Goetzmann, and J. Park, 2001, Careers and Survival: Competition and Risk in the Hedge Fund and CTA Industry, Journal of Finance, 56, 1869-1886.
  10. Brown, S.J., W.N. Goetzmann, and S.A. Ross, 1995, Survival, Journal of Finance, 50, 853-873.
  11. Carpenter, J.F., and A. Lynch, 1999, Survivorship Bias and Attrition E¤ects in Measures of Performance Persistence, Journal of Financial Economics, 54, 337-374.
  12. Chevalier, J. and G. Ellison, 1997, Risk Taking by Mutual Funds as a Response to Incentives, Journal of Political Economy, 105, 1167-1200.
  13. Fung, W. and D.A. Hsieh, 1997, Empirical Characteristics of Dynamic Trading Strategies: The Case of Hedge Funds, Review of Financial Stud- ies, 10, 275-302.
  14. Fung, W. and D.A. Hsieh, 2000, Performance Characteristics of Hedge Funds and Commodity Funds: Natural vs. Spurious Biases, Journal of Financial and Quantitative Analysis, 35, 291-307.
  15. Getmanksy, M., A.W. Lo and I. Makarov, 2004, An Econometric Model of Serial Correlation and Illiquidity in Hedge Fund Returns, Journal of Financial Economics, forthcoming.
  16. Goetzmann, W.N., J. Ingersoll, S.A. Ross, 2003, High-Water Marks and Hedge Fund Management Contracts, Journal of Finance, 58, 1685-1718.
  17. Gruber, M.J., 1996, Another Puzzle: The Growth in Actively Managed Mutual Funds, Journal of Finance, 51, 783-810.
  18. Hendricks, D., J. Patel, and R. Zeckhauser, 1997, The J-shape of per- formance persistence given Survivorship Bias, the Review of Economics and Statistics, 79, 161-170.
  19. Horst, J.R., ter, Th. Nijman and M. Verbeek, 2001, Eliminating Look- Ahead Bias in Evaluating Persistence in Mutual Fund Performance, Journal of Empirical Finance, 8, 345-373.
  20. Liang, B., 2000, Hedge Funds: The Living and the Dead, Journal of Financial and Quantitative Analysis, 35, 309-326.
  21. Malkiel, B.G., 1995, Returns from Investing in Equity Mutual Funds 1971 to 1991, Journal of Finance, 50, 549-572.
  22. Sirri, E.R., and P. Tufano, 1998, Costly Search and Mutual Fund Flows, Journal of Finance, 53, 1589-1622.

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Authors
Baquero, G., ter Horst, J., & Verbeek, M.
Affiliations
  • European School of Management and Technology (DE)
  • Erasmus University Rotterdam (NL)
Venue
Journal of Financial and Quantitative Analysis
Published
2005-09
Volume
40
Issue
3
Pages
493-517
ISSN
  • 0022-1090 (ISSN-L)
  • 1756-6916
OpenAlex
W2169434623
Cited by
305
References
2
Citations by year
2026: 7 · 2025: 2 · 2024: 35 · 2023: 4 · 2022: 8 · 2021: 6 · 2020: 6 · 2019: 6 · 2018: 7 · 2017: 8 · 2016: 17 · 2015: 14 · 2014: 14 · 2013: 21 · 2012: 18
FWCI
26.01
Type
journal article
Language
en
Open access
Locations
  • Journal of Financial and Quantitative Analysis (publishedVersion)
  • SSRN Electronic Journal (acceptedVersion)
  • Research portal (Tilburg University) (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
  • EUR Research Repository (Erasmus University Rotterdam) (submittedVersion)
  • Data Archiving and Networked Services (DANS) (submittedVersion)
  • Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
  • SSRN Electronic Journal (submittedVersion)
  • ERIM Report Series Research in Management (submittedVersion)
  • RePub (Erasmus University Rotterdam) (submittedVersion, other-oa)
  • RePub (Erasmus University Rotterdam) (submittedVersion)
  • ERIM Top-Core Articles
Topics
  • Social Sciences › Economics, Econometrics and Finance › Finance › Financial Markets and Investment Strategies
  • Social Sciences › Economics, Econometrics and Finance › Finance › Financial Risk and Volatility Modeling
  • Social Sciences › Business, Management and Accounting › Accounting › Corporate Finance and Governance
Keywords
hedge funds, performance persistence, look-ahead bias, sampling bias, performance measurement, investment style, total risk

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