Benchmarking Money Manager Performance: Issues and Evidence

61 Pages Posted: 8 Aug 2006 Last revised: 23 Mar 2009

See all articles by Louis K.C. Chan

Louis K.C. Chan

University of Illinois at Urbana-Champaign - Department of Finance

Stephen G. Dimmock

National University of Singapore; Asian Bureau of Finance and Economic Research (ABFER)

Josef Lakonishok

University of Illinois at Urbana-Champaign; National Bureau of Economic Research (NBER)

Multiple version iconThere are 3 versions of this paper

Date Written: August 2006

Abstract

Academic and practitioner research yields a proliferation of methods using size and value/growth attributes or factors to evaluate portfolio performance. We assess the relative merits of several of the most widely-used procedures, including variants of matched-characteristic benchmark portfolios and time-series return regressions, by applying them to a sample of active money managers and passive indexes. Estimated abnormal returns display large variation across approaches. The benchmarks most widely used in academic research - attribute-matched portfolios from independent sorts, the conventional three-factor time series model, and cross-sectional regressions of returns on stock characteristics - have poor ability to track returns. Simple alterations are provided that improve the performance of the methods.

Keywords: Benchmarking, Portfolio Manager, Institutional Investors, Performance Evaluation

JEL Classification: G11, G12

Suggested Citation

Chan, Louis K.C. and Dimmock, Stephen G. and Lakonishok, Josef, Benchmarking Money Manager Performance: Issues and Evidence (August 2006). Available at SSRN: https://ssrn.com/abstract=921915 or http://dx.doi.org/10.2139/ssrn.921915

Louis K.C. Chan (Contact Author)

University of Illinois at Urbana-Champaign - Department of Finance ( email )

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Stephen G. Dimmock

National University of Singapore ( email )

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Asian Bureau of Finance and Economic Research (ABFER) ( email )

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Josef Lakonishok

University of Illinois at Urbana-Champaign ( email )

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Champaign, IL 61820
United States
217-333-7185 (Phone)
217-244-3102 (Fax)

National Bureau of Economic Research (NBER)

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