Mutual fund herding and audit pricing

Yao Ge, Shengmin Hung, Wei Huang, Zheng Qiao, Xin Deng

Research output: Journal PublicationArticlepeer-review

5 Citations (Scopus)

Abstract

This study investigates how investor trading behavior affects audit pricing by examining mutual fund herding in specific. When mutual fund managers herd due to information cascade, mimicking incentive, or agency problem, it causes information friction and weakens their monitoring effectiveness. Heightened governance risk is associated with higher audit risk and thus higher audit pricing. In our empirical tests, we find that herding weakens mutual funds’ information advantage and monitoring effectiveness, ultimately resulting in higher audit fees. To mitigate the endogeneity concern, we employ the natural experiment of the 2004 SEC regulation change on mutual fund disclosure frequency to capture exogenous change in herding intensity. Our findings are robust using propensity score matching method and alternative measures. Consistent with our conjecture, we document that firms facing stronger mutual fund herding are associated with deteriorated corporate disclosure quality.

Original languageEnglish
Article number101904
JournalResearch in International Business and Finance
Volume64
DOIs
Publication statusPublished - Jan 2023

Keywords

  • Audit fees
  • Herding
  • Information
  • Mutual fund

ASJC Scopus subject areas

  • Business, Management and Accounting (miscellaneous)
  • Finance

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