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Social distancing and local bias

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  • Liu, Yi
  • Jin, Justin

Abstract

This study investigates the effect of social distancing on the local bias of institutional investors. Using SafeGraph’s Social Distancing Metrics data and SEC’s EDGAR 13F filings, we find that stay-at-home duration ratio decreases institutional investors’ local holdings and firms’ institutional ownership in the U.S. We also exploit the lockdown orders across various states during the COVID-19 pandemic as exogenous shocks to conduct the stacked regression estimation, which yields a similar result. Our channel analysis using abnormal return indicates that social distancing mitigates local bias by constraining the information advantage of local investors rather than alleviating their cognitive bias.

Suggested Citation

  • Liu, Yi & Jin, Justin, 2023. "Social distancing and local bias," Finance Research Letters, Elsevier, vol. 51(C).
  • Handle: RePEc:eee:finlet:v:51:y:2023:i:c:s1544612322006237
    DOI: 10.1016/j.frl.2022.103446
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    References listed on IDEAS

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