Decomposition of mutual fund underperformance

Jin-Li Hu*, Tzu Pu Chang

*Corresponding author for this work

Research output: Contribution to journalArticle

9 Scopus citations

Abstract

This article follows a three-stage data envelopment analysis (DEA) approach proposed by Fried et al. (2002) to decompose mutual fund underperformance, in order to obtain pure managerial performance. In the first stage, DEA is used to compute each fund's performance. In the second stage, a stochastic frontier regression decomposes fund underperformance into characteristics (including fund and management attributes), managerial inefficiency, and statistical noise. In the third stage, DEA with slack-adjusted data is used to find out the pure performance. It is found that a fund's performance significantly increases with its size, previous performance, manager's tenure and education, while it decreases with the age of the fund and number of managed funds.

Original languageEnglish
Pages (from-to)363-367
Number of pages5
JournalApplied Financial Economics Letters
Volume4
Issue number5
DOIs
StatePublished - 1 Sep 2008

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