 Corporate integrity and hostile takeover threats: Evidence from machine learning and “CEO luck”Viput Ongsakul, Pattanaporn Chatjuthamard, Pornsit Jiraporn and Sirithida Chaivisuttangkun Journal of Behavioral and Experimental Finance, 2021, vol. 32, issue C Abstract: Exploiting an innovative measure of corporate integrity based on machine learning and textual analysis, this paper explores the effect of hostile takeover exposure on corporate integrity. Using a measure of takeover vulnerability principally based on state legislation, we find that a more active takeover market raises corporate integrity, corroborating the notion that the disciplinary mechanism associated with the takeover market induces managers to enhance corporate integrity. Specifically, a rise in takeover exposure by one standard deviation results in an improvement in integrity by 4.00%. Further analysis confirms the conclusion including propensity score matching, entropy balancing, and instrumental-variable analysis. Our study is among the first to employ this novel text-based measure of corporate integrity. Finally, additional analysis based on ”CEO luck” validates the conclusion. Keywords: Integrity; Hostile takeover; Corporate governance; Textual analysis; Machine learning; Agency theory (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:beexfi:v:32:y:2021:i:c:s2214635021001234 DOI: 10.1016/j.jbef.2021.100579 Access Statistics for this article Journal of Behavioral and Experimental Finance is currently edited by Michael Dowling and Jürgen Huber More articles in Journal of Behavioral and Experimental Finance from Elsevier |
Is your work missing from RePEc? Here is how to contribute.
Questions or problems? Check the EconPapers FAQ or send mail to .
EconPapers is hosted by the
School of Business at Örebro University.