Quasi-Indexer Ownership and Insider Trading: Evidence from Russell Index Reconstitutions

Stephen A. Hillegeist, Liwei Weng

Research output: Journal article publicationJournal articleAcademic researchpeer-review

10 Citations (Scopus)


Understanding the association between quasi-indexer ownership and insider trading is important given the externalities that insider trading can impose on shareholders, the importance of quasi-indexers in the capital markets, and their mixed monitoring incentives. The prior literature has produced an inconsistent set of results regarding this association. These results are difficult to interpret because the association between them is likely endogenous, and prior studies have not employed effective identification strategies to address this issue. In this study, we examine the effects of quasi-indexer institutional ownership on insider trading using the plausibly exogenous discontinuity in quasi-indexer ownership around the Russell 1000/2000 index cutoff. Using both regression discontinuity and instrumental variable research designs, we find higher quasi-indexer ownership leads to less insider trading (both buys and sells) and less profitable sell trades. The effects for sells are concentrated among insider trades that, ex ante, are more likely to be based on private information. Our evidence on the profitability of buys is mixed. In addition, we find firms with higher quasi-indexer ownership are more likely to have and/or more strictly enforce blackout policies. Overall, our results suggest that quasi-indexers can reduce the agency costs associated with insider trading through their direct and indirect monitoring activities.

Original languageEnglish
Pages (from-to)2192-2223
Number of pages32
JournalContemporary Accounting Research
Issue number3
Early online date2021
Publication statusPublished - 1 Sept 2021


  • blackout policies
  • causal effect
  • insider trading
  • quasi-indexers
  • regression discontinuity

ASJC Scopus subject areas

  • Accounting
  • Finance
  • Economics and Econometrics


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