An Empirical Evaluation Of Hedge Fund Managerial Skills Using Bayesian Techniques

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

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    Abstract

    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.

    Item Type: Article
    Subjects: H Social Sciences > HD Industries. Land use. Labor > HD28-70 Management. Industrial Management
    Divisions: Penerbit Universiti Sains Malaysia (USM Press) > Asian Academy of Management Journal of Accounting and Finance
    Depositing User: Mr Firdaus Mohamad
    Date Deposited: 16 Oct 2017 09:42
    Last Modified: 16 Oct 2017 09:42
    URI: http://eprints.usm.my/id/eprint/37121

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