Mutual fund performance benchmarking using a quadratic directional distance function approach
Author(s) -
Konstantina Pendaraki
Publication year - 2015
Publication title -
international journal of financial engineering and risk management
Language(s) - English
Resource type - Journals
eISSN - 2049-0917
pISSN - 2049-0909
DOI - 10.1504/ijferm.2015.068855
Subject(s) - benchmarking , mutual fund , function (biology) , quadratic equation , computer science , business , mathematics , finance , marketing , geometry , evolutionary biology , biology
The purpose of this paper is to apply a quadratic directional distance function in order to validate a relative performance indicator for portfolio benchmarking analysis. Based on a daily data set generated from a sample of 43 equity mutual funds the present study compares the performance results given by a directional and two standard distance function models as well as with a traditional fund performance index for periods ranging from 6 months to 4 years. A significant difference was observed in their rankings overall time horizons. This finding implies that ignoring the diversification effect of co-variances in portfolio risk reduction and the potential improvements in returns will yield a biased estimate of mutual fund performance.
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