Benchmarking Money Manager Performance: Issues and Evidence

Josef Lakonishok, Louis Chan and Stephen Dimmock

No 12461, NBER Working Papers from National Bureau of Economic Research, Inc

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.

JEL-codes: G11 G12 G14 G23 (search for similar items in EconPapers)
Date: 2006-08
New Economics Papers: this item is included in nep-fin and nep-fmk
Note: AP
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

Published as Louis K. C. Chan & Stephen G. Dimmock & Josef Lakonishok, 2009. "Benchmarking Money Manager Performance: Issues and Evidence," Review of Financial Studies, Oxford University Press for Society for Financial Studies, vol. 22(11), pages 4553-4599, November.

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Journal Article: Benchmarking Money Manager Performance: Issues and Evidence (2009)
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