Benchmarking money manager performance : issues and evidence
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...
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sg-ntu-dr.10356-1002422023-05-19T06:44:43Z Benchmarking money manager performance : issues and evidence Chan, Louis K. C. Dimmock, Stephen G. Lakonishok, Josef Nanyang Business School DRNTU::Business::Finance::Money 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. 2013-11-21T04:13:08Z 2019-12-06T20:19:05Z 2013-11-21T04:13:08Z 2019-12-06T20:19:05Z 2009 2009 Journal Article Chan, L. K. C., Dimmock, S. G., & Lakonishok, J. (2009). Benchmarking Money Manager Performance: Issues and Evidence. The Review of Financial Studies, 4553-4599. 1556-5068 https://hdl.handle.net/10356/100242 http://hdl.handle.net/10220/17808 10.2139/ssrn.921915 en The review of financial studies © The Author 2009. Published by Oxford University Press on behalf of The Society for Financial Studies. 61 p. |
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DRNTU::Business::Finance::Money Chan, Louis K. C. Dimmock, Stephen G. Lakonishok, Josef Benchmarking money manager performance : issues and evidence |
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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. |
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Nanyang Business School |
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Nanyang Business School Chan, Louis K. C. Dimmock, Stephen G. Lakonishok, Josef |
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Article |
author |
Chan, Louis K. C. Dimmock, Stephen G. Lakonishok, Josef |
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Chan, Louis K. C. |
title |
Benchmarking money manager performance : issues and evidence |
title_short |
Benchmarking money manager performance : issues and evidence |
title_full |
Benchmarking money manager performance : issues and evidence |
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Benchmarking money manager performance : issues and evidence |
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Benchmarking money manager performance : issues and evidence |
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benchmarking money manager performance : issues and evidence |
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2013 |
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https://hdl.handle.net/10356/100242 http://hdl.handle.net/10220/17808 |
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