Mutual Fund Family Strategies and Bayesian Alphas

24 Pages Posted: 8 Jan 2012

See all articles by Daniel Li

Daniel Li

Markov Processes International LLC

Date Written: January 8, 2012

Abstract

Among the 5,000 equity mutual funds in the world, more than 80 percent belong to some fund family. A fund family is a group of mutual funds supervised by the same investment group. Despite the prevalence of the family organization, previous literature, when evaluating mutual fund performance, treated funds as though they were stand-alone entities. This is inappropriate if fund family follows some strategies that would affect the performance of its member funds, a phenomenon already documented in resent literature. In this paper, we address this issue by measuring mutual fund as part of a fund family. When evaluating individual fund performance, a Bayesian econometric technique enables us to incorporate different fund family strategies into consideration, thus produce a new performance measure. In empirical test, mutual funds selected based on our Bayesian alphas are showing more persistent in performance than those selected based on single or four factor alphas.

Keywords: mutual fund, fund family, Bayesian Alphas, performance persistence

JEL Classification: G13, C11, C18

Suggested Citation

Li, Daniel, Mutual Fund Family Strategies and Bayesian Alphas (January 8, 2012). Available at SSRN: https://ssrn.com/abstract=1981438 or http://dx.doi.org/10.2139/ssrn.1981438

Daniel Li (Contact Author)

Markov Processes International LLC ( email )

25 Maple Street
Summit, NJ 07901
United States

Do you have negative results from your research you’d like to share?

Paper statistics

Downloads
132
Abstract Views
1,564
Rank
390,253
PlumX Metrics