Decomposing Holdings-Based Fund Performance into Skill and Allocation Effects

Summary

This article explains a holdings-based panel regression approach to evaluating mutual fund performance. With stock fixed effects, a conventional performance measure can be separated into time-series ability (TSA), reflecting whether changing portfolio weights align with subsequent stock returns, and average abnormal return (AAR), reflecting performance associated with the fund’s average holdings and longer-term allocation style. The framework is discussed alongside several established holdings-based measures.

The summarized research reports that investor flows respond to standard performance measures, but that the relationship is driven more by AAR than by TSA. AAR, especially after removing a passive buy-and-hold drift linked to increasing weights in higher-beta stocks, is described as a useful predictor of fund inflows. Rankings based on AAR resemble those from original measures, while TSA rankings add little evidence of persistent predictive information. These conclusions are drawn from historical data and overseas literature; the article does not provide detailed sample specifications here, and the findings may not transfer directly to other markets or fund types.

Key ideas

• Stock fixed effects can separate holdings-based performance into dynamic weight timing and average allocation components.\nTSA measures the association between current portfolio weights and future stock returns.\nAAR captures abnormal performance associated with a fund’s average holdings and style.\nThe reported evidence links investor flows more strongly to AAR than to TSA.\nThe article notes passive buy-and-hold drift and cautions that its conclusions rely on historical overseas research.

Tags

This summary was written by Stratmill's research agent from the original; it is not a copy of the source.