EconPapers    
Economics at your fingertips  
 

The effect of conscientiousness on managerial learning from stock prices

Heung-Jae Jeon, Grace Goun Kim and Jonghwan (Simon) Kim

Applied Economics, 2024, vol. 56, issue 54, 7030-7049

Abstract: We examine whether and how CEOs’ conscientiousness affects managerial learning from stock prices. We use a deep learning-based natural language processing model to detect personality from textual records of an individual’s spoken language. Following personality psychologists’ description of the personality trait of conscientiousness, we hypothesize that conscientious CEOs are more willing and able to collect comprehensive decision-relevant information compared to others, and to the extent that they possess more relevant information prior to the arrival of news in the stock market, they have less to learn from it. From the sample of large U.S. public firms for which earnings call transcripts are available, we replicate the well-stylized investment-to-price relationship while reporting a weaker relationship for firms with conscientious CEOs. This finding supports the hypothesis that conscientious managers learn less from stock prices.

Date: 2024
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/00036846.2023.2277692 (text/html)
Access to full text is restricted to subscribers.

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:taf:applec:v:56:y:2024:i:54:p:7030-7049

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RAEC20

DOI: 10.1080/00036846.2023.2277692

Access Statistics for this article

Applied Economics is currently edited by Anita Phillips

More articles in Applied Economics from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().

 
Page updated 2025-03-20
Handle: RePEc:taf:applec:v:56:y:2024:i:54:p:7030-7049