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Endogenous benchmarks

Author

Listed:
  • Hunter, David
  • Kandel, Eugene
  • Kandel, Shmuel
  • Wermers, Russ

Abstract

This paper develops a new approach that controls for commonalities in actively managed investment fund returns when measuring their performance. It is well-known that many investment funds may systematically load on common priced factors omitted from popular models, exhibit similarities in their choices of specific stocks and industries, or vary their risk-loadings in a similar way over time. We propose a parsimonious model that uses the return on the group of mutual funds as a benchmark for each individual fund within that group. We demonstrate that this model substantially reduces the correlation between fund residuals from standard models used for equity and fixed-income funds, and improves the estimates of fund α's and β's from commonly used equity and fixed-income models.

Suggested Citation

  • Hunter, David & Kandel, Eugene & Kandel, Shmuel & Wermers, Russ, 2009. "Endogenous benchmarks," CFR Working Papers 10-02, University of Cologne, Centre for Financial Research (CFR).
  • Handle: RePEc:zbw:cfrwps:1002
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    References listed on IDEAS

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    1. Grinblatt, Mark & Titman, Sheridan, 1993. "Performance Measurement without Benchmarks: An Examination of Mutual Fund Returns," The Journal of Business, University of Chicago Press, vol. 66(1), pages 47-68, January.
    2. Grinblatt, Mark & Titman, Sheridan, 1994. "A Study of Monthly Mutual Fund Returns and Performance Evaluation Techniques," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 29(03), pages 419-444, September.
    3. Wayne E. Ferson & Andrew F. Siegel, 2006. "Testing Portfolio Efficiency with Conditioning Information," NBER Working Papers 12098, National Bureau of Economic Research, Inc.
    4. Brown, Stephen J & Goetzmann, William N, 1995. " Performance Persistence," Journal of Finance, American Finance Association, vol. 50(2), pages 679-698, June.
    5. Carhart, Mark M, 1997. " On Persistence in Mutual Fund Performance," Journal of Finance, American Finance Association, vol. 52(1), pages 57-82, March.
    6. Mark M. Carhart & Jennifer N. Carpenter & Anthony W. Lynch & David K. Musto, 2002. "Mutual Fund Survivorship," Review of Financial Studies, Society for Financial Studies, vol. 15(5), pages 1439-1463.
    7. Harry Mamaysky & Matthew Spiegel & Hong Zhang, 2008. "Estimating the Dynamics of Mutual Fund Alphas and Betas," Review of Financial Studies, Society for Financial Studies, vol. 21(1), pages 233-264, January.
    8. Tobias J. Moskowitz & Mark Grinblatt, 1999. "Do Industries Explain Momentum?," Journal of Finance, American Finance Association, vol. 54(4), pages 1249-1290, August.
    9. Grinblatt, Mark & Titman, Sheridan D, 1989. "Mutual Fund Performance: An Analysis of Quarterly Portfolio Holdings," The Journal of Business, University of Chicago Press, vol. 62(3), pages 393-416, July.
    10. Keim, Donald B. & Madhavan, Ananth, 1997. "Transactions costs and investment style: an inter-exchange analysis of institutional equity trades," Journal of Financial Economics, Elsevier, vol. 46(3), pages 265-292, December.
    11. Frank, Mary Margaret & Poterba, James M & Shackelford, Douglas A & Shoven, John B, 2004. "Copycat Funds: Information Disclosure Regulation and the Returns to Active Management in the Mutual Fund Industry," Journal of Law and Economics, University of Chicago Press, vol. 47(2), pages 515-541, October.
    12. Grinblatt, Mark & Titman, Sheridan & Wermers, Russ, 1995. "Momentum Investment Strategies, Portfolio Performance, and Herding: A Study of Mutual Fund Behavior," American Economic Review, American Economic Association, vol. 85(5), pages 1088-1105, December.
    13. Brown, Stephen J, et al, 1992. "Survivorship Bias in Performance Studies," Review of Financial Studies, Society for Financial Studies, vol. 5(4), pages 553-580.
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