Model Uncertainty, Performance Persistence and Flows
74 Pages Posted: 22 Dec 2009
Date Written: November 22, 2009
Abstract
Model uncertainty makes it difficult to draw clear inference about mutual fund performance persistence. I propose a new performance measure, Bayesian Model Averaged (BMA) alpha, which explicitly accounts for model uncertainty. Using BMA alphas, I find evidence of performance persistence in a large sample of US funds. There is a positive and asymmetric relation between flows and past BMA alphas, suggesting that fund investors respond to the information in BMA alphas. My findings are robust to various sensitivity analyses, including alternative measures of post-ranking performance, flows and total net assets, and alternative econometric model specifications.
Keywords: Mutual Funds, Performance Persistence, Flows, Model Uncertainty
JEL Classification: G2, G11, C11, C52
Suggested Citation: Suggested Citation
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