Mutual Fund Flows and Cross-Fund Learning Within Families

JOURNAL OF FINANCE(2016)

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摘要
We develop a model of performance evaluation and fund flows for mutual funds in a family. Family performance has two effects on a member fund's estimated skill and inflows: a positive common-skill effect, and a negative correlated-noise effect. The overall spillover can be either positive or negative, depending on the weight of common skill and correlation of noise in returns. Its absolute value increases with family size, and declines over time. The sensitivity of flows to a fund's own performance is affected accordingly. Empirical estimates of fund flow sensitivities show patterns consistent with rational cross-fund learning within families.
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bayesian learning
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