On the comparative performance of socially responsible and Islamic mutual funds


This is the first study to provide comprehensive analyses of the relative performance of both socially responsible investment (SRI) and Islamic mutual funds. The analysis proceeds in two stages. In the first, the performance of the two categories of funds is measured using partial frontier methods. In the second stage, we use quantile regression techniques. By combining two variants of the Free Disposal Hull (FDH) methods (order- m and order- α) in the first stage of analysis and quantile regression in the second stage, we provide detailed analyses of the impact of different covariates across methods and across different quantiles. In spite of the differences in the screening criteria and portfolio management of both types of funds, variation in the performance is only found for some of the quantiles of the conditional distribution of mutual fund performance. We established that for the most inefficient funds the superior performance of SRI funds is significant. In contrast, for the best mutual funds this evidence vanished and even Islamic funds perform better than SRI. These results show the benefits of performing the analysis using quantile regression.

Publication DOI: https://doi.org/10.1016/j.jebo.2013.06.011
Divisions: College of Business and Social Sciences > Aston Business School > Accounting
College of Business and Social Sciences > Aston Business School > Economics, Finance & Entrepreneurship
College of Business and Social Sciences > Aston Business School
Additional Information: © 2014, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/
Uncontrolled Keywords: Islamic funds,performance,quantile regression,socially responsible funds,Organizational Behavior and Human Resource Management,Economics and Econometrics
Publication ISSN: 0167-2681
Full Text Link:
Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Article
Published Date: 2014-07
Published Online Date: 2013-07-10
Authors: Abdelsalam, Omneya H. (ORCID Profile 0000-0002-2032-434X)
Fethi, Meryem D.
Matallín, Juan C.
Tortosa-Ausina, Emili

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