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Mutual Fund Performance with Learning Across Funds

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Author Info
Christopher S. Jones
Jay Shanken

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Abstract

This paper is based on the premise that knowledge about the alphas of one set of funds will influence an investor's beliefs about other funds. This will be true insofar as an investor's expectation about the performance of a fund is partly a belief about the abilities of mutual fund managers as a group and, more generally, a belief about the degree to which financial markets are efficient. We develop a simple framework for incorporating this prior dependence' and find that it can have a substantial impact on the cross-section of posterior beliefs about fund performance as well as asset allocation. Under independence, the maximum posterior mean alpha increases without bound as the number of funds increases and 'extremely large' estimates are randomly observed. This is true even when fund managers have no skill. In contrast, with prior dependence, investors aggregate information across funds to form a general belief about the potential for abnormal performance. Each fund's alpha estimate is shrunk toward the aggregate estimate, mitigating extreme views. An additional implication is that restricting the estimation to surviving funds, a common practice in this literature, imparts an upward bias to the average fund alpha.

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Paper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number 9392.

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Date of creation: Dec 2002
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Handle: RePEc:nbr:nberwo:9392

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Find related papers by JEL classification:
G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
G12 - Financial Economics - - General Financial Markets - - - Asset Pricing

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References listed on IDEAS
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  1. Carhart, Mark M, 1997. " On Persistence in Mutual Fund Performance," Journal of Finance, American Finance Association, vol. 52(1), pages 57-82, March. [Downloadable!] (restricted)
  2. Klaas P. Baks, 2001. "Should Investors Avoid All Actively Managed Mutual Funds? A Study in Bayesian Performance Evaluation," Journal of Finance, American Finance Association, vol. 56(1), pages 45-85, 02. [Downloadable!] (restricted)
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  3. Robert F. Stambaugh, 1997. "Analyzing Investments Whose Histories Differ in Length," NBER Working Papers 5918, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
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  4. Randolph Cohen & Joshua Coval & Lubos Pastor, 2002. "Judging Fund Managers by the Company They Keep," NBER Working Papers 9359, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
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  5. Fama, Eugene F. & French, Kenneth R., 1993. "Common risk factors in the returns on stocks and bonds," Journal of Financial Economics, Elsevier, vol. 33(1), pages 3-56, February. [Downloadable!] (restricted)
  6. Pastor, Lubos & Stambaugh, Robert F., 2002. "Investing in equity mutual funds," Journal of Financial Economics, Elsevier, vol. 63(3), pages 351-380, March. [Downloadable!] (restricted)
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  7. Judith Chevalier & Glenn Ellison, 1999. "Are Some Mutual Fund Managers Better Than Others? Cross-Sectional Patterns in Behavior and Performance," Journal of Finance, American Finance Association, vol. 54(3), pages 875-899, 06. [Downloadable!] (restricted)
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Cited by:
(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

  1. Cohen, Randolph & Coval, Joshua & Pástor, Luboš, 2003. "Judging Fund Managers by the Company They Keep," CEPR Discussion Papers 3717, C.E.P.R. Discussion Papers. [Downloadable!] (restricted)
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  2. Pástor, Luboš & Stambaugh, Robert F, 2007. "Predictive Systems: Living with Imperfect Predictors," CEPR Discussion Papers 6076, C.E.P.R. Discussion Papers. [Downloadable!] (restricted)
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  3. Gianni Amisano & Roberto Savona, 2008. "Imperfect predictability and mutual fund dynamics. How managers use predictors in changing systematic risk," Working Paper Series 881, European Central Bank. [Downloadable!]
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