Institutional trading, information production, and forced CEO turnovers
Thomas Chemmanur,
Gang Hu,
Yingzhen Li and
Jing Xie
Journal of Corporate Finance, 2021, vol. 67, issue C
Abstract:
We analyze transaction-level data on institutional trading and examine information flows around CEO turnovers. We find that institutional trading prior to a CEO turnover is positively related to the nature of a CEO turnover (forced versus voluntary). We further find that institutions produce information partly by analyzing insider trading prior to a CEO turnover, though they are able to produce additional information independently as well. Finally, we find that trading by institutions after a forced CEO turnover with an insider as successor CEO is positively related to subsequent long-run stock returns, and realizes significant abnormal trading profits. Overall, our results are consistent with the notion that information production by institutions, and their trading making use of this information, improves the information environment around CEO turnovers.
Keywords: CEO turnover; Forced CEO turnover; Institutional trading; Information production; Corporate governance (search for similar items in EconPapers)
JEL-codes: G23 G34 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0929119921000043
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:corfin:v:67:y:2021:i:c:s0929119921000043
DOI: 10.1016/j.jcorpfin.2021.101884
Access Statistics for this article
Journal of Corporate Finance is currently edited by A. Poulsen and J. Netter
More articles in Journal of Corporate Finance from Elsevier
Bibliographic data for series maintained by Catherine Liu ().