An Empirical Evaluation Of Hedge Fund Managerial Skills Using Bayesian Techniques

This paper makes use of the Bayesian method to evaluate hedge fund managers’ selectivity, market timing and outperformance skills separately, and investigates their persistence from January 1995 to June 20101. We divide this sample period into four overlapping sub-sample periods that contain diff...

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Main Author: Muteba Mwamba, John Weirstrass
Format: Article
Language:English
Published: Asian Academy of Management (AAM) 2017
Subjects:
Online Access:http://eprints.usm.my/37121/
http://eprints.usm.my/37121/1/aamjaf13012017_3.pdf
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author Muteba Mwamba, John Weirstrass
author_facet Muteba Mwamba, John Weirstrass
author_sort Muteba Mwamba, John Weirstrass
building USM Institutional Repository
collection Online Access
description This paper makes use of the Bayesian method to evaluate hedge fund managers’ selectivity, market timing and outperformance skills separately, and investigates their persistence from January 1995 to June 20101. We divide this sample period into four overlapping sub-sample periods that contain different economic cycles. We defne a skilled manager as a manager who can outperform the market in two consecutive sub-sample periods. We employ Bayesian linear CAPM and Bayesian quadratic CAPM to generate skill coeffcients during each sub-sample period. We found that fund managers who possess selectivity skills can outperform the market at 7.5% signifcant level if and only if the economic conditions that governed the fnancial market during the period between sub-sample period2 and subsample period3 remain the same.
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spelling usm-371212017-10-16T01:42:45Z http://eprints.usm.my/37121/ An Empirical Evaluation Of Hedge Fund Managerial Skills Using Bayesian Techniques Muteba Mwamba, John Weirstrass HD28-70 Management. Industrial Management This paper makes use of the Bayesian method to evaluate hedge fund managers’ selectivity, market timing and outperformance skills separately, and investigates their persistence from January 1995 to June 20101. We divide this sample period into four overlapping sub-sample periods that contain different economic cycles. We defne a skilled manager as a manager who can outperform the market in two consecutive sub-sample periods. We employ Bayesian linear CAPM and Bayesian quadratic CAPM to generate skill coeffcients during each sub-sample period. We found that fund managers who possess selectivity skills can outperform the market at 7.5% signifcant level if and only if the economic conditions that governed the fnancial market during the period between sub-sample period2 and subsample period3 remain the same. Asian Academy of Management (AAM) 2017 Article PeerReviewed application/pdf en http://eprints.usm.my/37121/1/aamjaf13012017_3.pdf Muteba Mwamba, John Weirstrass (2017) An Empirical Evaluation Of Hedge Fund Managerial Skills Using Bayesian Techniques. Asian Academy of Management Journal of Accounting and Finance, 13 (1). pp. 1-20. ISSN 1823-4992 http://web.usm.my/journal/aamjaf/aamjaf13012017/aamjaf13012017_3.pdf
spellingShingle HD28-70 Management. Industrial Management
Muteba Mwamba, John Weirstrass
An Empirical Evaluation Of Hedge Fund Managerial Skills Using Bayesian Techniques
title An Empirical Evaluation Of Hedge Fund Managerial Skills Using Bayesian Techniques
title_full An Empirical Evaluation Of Hedge Fund Managerial Skills Using Bayesian Techniques
title_fullStr An Empirical Evaluation Of Hedge Fund Managerial Skills Using Bayesian Techniques
title_full_unstemmed An Empirical Evaluation Of Hedge Fund Managerial Skills Using Bayesian Techniques
title_short An Empirical Evaluation Of Hedge Fund Managerial Skills Using Bayesian Techniques
title_sort empirical evaluation of hedge fund managerial skills using bayesian techniques
topic HD28-70 Management. Industrial Management
url http://eprints.usm.my/37121/
http://eprints.usm.my/37121/
http://eprints.usm.my/37121/1/aamjaf13012017_3.pdf