Social distancing and local bias

Yi Liu and Justin Jin

Finance Research Letters, 2023, vol. 51, issue C

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.

Keywords: Social distancing; COVID-19; Local bias; Institutional ownership (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1544612322006237
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:finlet:v:51:y:2023:i:c:s1544612322006237

DOI: 10.1016/j.frl.2022.103446

Access Statistics for this article

Finance Research Letters is currently edited by R. Gençay

More articles in Finance Research Letters from Elsevier
Bibliographic data for series maintained by Catherine Liu ().