The impact of corporate artificial intelligence on financial risk: Evidence from China
Wenhui Xin
Finance Research Letters, 2025, vol. 81, issue C
Abstract:
In this study, we use data from Chinese A-share listed companies from 2010 to 2023 and construct an AI-related keyword index based on text analysis to empirically investigate the impact of AI on corporate financial risk. Our results show that artificial intelligence can significantly reduce corporate financial risk, mainly by alleviating corporate financing constraints and inefficient investment. Further heterogeneity analysis indicates that the effect of AI on reducing financial risk is more significant in non-state-owned enterprises, small-sized firms, and firms with low leverage.
Keywords: Corporate artificial intelligence; Financial risk; Financing constraints (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1544612325006956
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:81:y:2025:i:c:s1544612325006956
DOI: 10.1016/j.frl.2025.107435
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 ().