Smart beta, “smarter” flows

Jie Cao, Jason C. Hsu, Linjia Song, Zhanbing Xiao, Xintong Zhan

Research output: Journal article publicationJournal articleAcademic researchpeer-review

Abstract

We document that when smart beta ETFs are more actively traded, mutual fund flow sensitivity to multi-factor alphas increases significantly. This evidence is consistent with a friction hypothesis that active smart beta ETF trading reduces the costs of investing in non-market risk factors (e.g., SMB and HML). Consequently, when this friction is diminished, investors reward mutual fund managers more for multi-factor alphas. We show that the results are driven by sophisticated investors, ruling out behavioral explanations. The results are concentrated among mutual funds with high exposures to non-market risk factors. We further find that the gap between CAPM alpha and multi-factor alphas in explaining flows reduces when smart beta ETFs are actively traded.

Original languageEnglish
Article number101580
JournalJournal of Empirical Finance
Volume81
DOIs
Publication statusPublished - Mar 2025

Keywords

  • Factor model
  • Financial innovation
  • Friction
  • Mutual fund flows
  • Smart beta ETFs

ASJC Scopus subject areas

  • Finance
  • Economics and Econometrics

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