EconPapers    
Economics at your fingertips  
 

ChatGPT and the banking business: Insights from the US stock market on potential implications for banks

Lars Beckmann and Paul F. Hark

Finance Research Letters, 2024, vol. 63, issue C

Abstract: Technological advances in artificial intelligence, such as ChatGPT, promise significant potential for automation in the banking sector, but might also be associated with uncertainties and potential disadvantages for banks. By empirically analyzing US stock market reactions to ChatGPT’s launch, this study extracts the expectations of market participants to gauge potential future implications of ChatGPT for banks. The results indicate a significant negative stock market reaction of US bank stocks, with notable disparities between different bank types. Using cross-sectional regressions, we find that the negative market reaction is more pronounced for deposit-dependent and large banks.

Keywords: AI; Banking; ChatGPT; Event study; Financial intermediation; Large language model (search for similar items in EconPapers)
JEL-codes: C45 C88 G14 G21 O33 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1544612324002678
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:63:y:2024:i:c:s1544612324002678

DOI: 10.1016/j.frl.2024.105237

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 ().

 
Page updated 2025-03-19
Handle: RePEc:eee:finlet:v:63:y:2024:i:c:s1544612324002678