Artificial intelligence innovation and stock price crash risk

被引:1
|
作者
Zhang, Junru [1 ,2 ]
Cui, Chen [1 ]
Zheng, Chen [3 ]
Taylor, Grantley [3 ]
机构
[1] Univ Western Australia, UWA Business Sch, Dept Accounting & Finance, Perth, WA, Australia
[2] Edith Cowan Univ, Sch Business & Law, Perth, WA, Australia
[3] Curtin Univ, Fac Business & Law, Sch Accounting Econ & Finance, Perth, WA, Australia
关键词
BID-ASK SPREAD; CORPORATE GOVERNANCE; LIFE-CYCLE; DEVELOPMENT INVESTMENT; QUALITY IMPROVEMENT; ANALYST COVERAGE; INFORMATION; SYSTEM; VOLATILITY; DISCLOSURE;
D O I
10.1111/jfir.12424
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
This study examines the association between artificial intelligence innovation (AII) and stock price crash risk (SPCR). AII serves as a governance mechanism that can bolster strength in internal controls, leading to increased financial transparency and thereby reducing the likelihood of future SPCR. The results hold after accounting for possible endogeneity issues Further, we find that monitoring through corporate governance mechanisms, level of following by equity analysts, and the reduced information asymmetry constitute important channels that mediate the association between AII and SPCR. Additionally, the relationship between AII and SPCR varies across corporate life cycle stages and workplace culture.
引用
收藏
页数:41
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