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Artificial intelligence and stock price crash risk: Evidence from China: A pre-registered report

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  • Xiao, Bai
  • Wenyao, Zhao

Abstract

While the rapid rise in corporate artificial intelligence (AI) investment is widely viewed as a strategic necessity, its impact on stock price crash risk remains contested. This pre-registered report argues two opposing predictions. On one hand, AI investment may mitigate the stock price crash risk via improving information transparency and external monitoring for firms. On the other hand, the centralized capital investment in AI and the uncertainty involved may increase the stock price crash risk. To identify these two possible predictions, we exploit the “New-generation Artificial Intelligence Polit Zone Policy” in China as an exogenous shock and examine the impact of AI investment on firms' stock price crash risk, along with the underlying mechanisms. Furthermore, we investigate whether AI investment affects firm value. This study contributes to the literature on the economic consequences of AI investment and provides new insights into stock price crash risk and corporate risk governance.

Suggested Citation

  • Xiao, Bai & Wenyao, Zhao, 2025. "Artificial intelligence and stock price crash risk: Evidence from China: A pre-registered report," Pacific-Basin Finance Journal, Elsevier, vol. 93(C).
    • Handle: RePEc:eee:pacfin:v:93:y:2025:i:c:s0927538x25002161
    DOI: 10.1016/j.pacfin.2025.102879
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    References listed on IDEAS

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    1. Jia, Ning, 2018. "Corporate innovation strategy and stock price crash risk," Journal of Corporate Finance, Elsevier, vol. 53(C), pages 155-173.
    2. Rammer, Christian & Fernández, Gastón P. & Czarnitzki, Dirk, 2022. "Artificial intelligence and industrial innovation: Evidence from German firm-level data," Research Policy, Elsevier, vol. 51(7).
    3. Hutton, Amy P. & Marcus, Alan J. & Tehranian, Hassan, 2009. "Opaque financial reports, R2, and crash risk," Journal of Financial Economics, Elsevier, vol. 94(1), pages 67-86, October.
    4. Yang, Chih-Hai, 2022. "How Artificial Intelligence Technology Affects Productivity and Employment: Firm-level Evidence from Taiwan," Research Policy, Elsevier, vol. 51(6).
    5. Daron Acemoglu & David Autor & Jonathon Hazell & Pascual Restrepo, 2022. "Artificial Intelligence and Jobs: Evidence from Online Vacancies," Journal of Labor Economics, University of Chicago Press, vol. 40(S1), pages 293-340.
    6. Panayiotis C. Andreou & Christodoulos Louca & Andreas P. Petrou, 2017. "CEO Age and Stock Price Crash Risk," Review of Finance, European Finance Association, vol. 21(3), pages 1287-1325.
    7. He, Guanming & Li, Zhichao & Yu, Ling & Zhou, Zhanqiang, 2025. "Does commercial reform embracing digital technologies mitigate stock price crash risk?," Journal of Corporate Finance, Elsevier, vol. 91(C).
    8. Jin, Li & Myers, Stewart C., 2006. "R2 around the world: New theory and new tests," Journal of Financial Economics, Elsevier, vol. 79(2), pages 257-292, February.
    9. Wang, Yanping & Qiao, Ke & Xing, Qiuhang & Bai, Yunxia, 2024. "Official visits and stock price crash risk," Pacific-Basin Finance Journal, Elsevier, vol. 87(C).
    10. Fan, Xiamin & Wu, Yuhui & Zhou, Yucheng & Wu, Shinong, 2025. "How does artificial intelligence shock affect labor income distribution? Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 90(C).
    11. Daron Acemoglu & Pascual Restrepo, 2018. "Artificial Intelligence, Automation, and Work," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 197-236, National Bureau of Economic Research, Inc.
    12. Dimson, Elroy, 1979. "Risk measurement when shares are subject to infrequent trading," Journal of Financial Economics, Elsevier, vol. 7(2), pages 197-226, June.
    13. repec:eme:jaar00:jaar-09-2017-0096 is not listed on IDEAS
    14. Xu, Yongxin & Xuan, Yuhao & Zheng, Gaoping, 2021. "Internet searching and stock price crash risk: Evidence from a quasi-natural experiment," Journal of Financial Economics, Elsevier, vol. 141(1), pages 255-275.
    15. Hu, Jinshuai & Li, Siqi & Taboada, Alvaro G. & Zhang, Feida, 2020. "Corporate board reforms around the world and stock price crash risk," Journal of Corporate Finance, Elsevier, vol. 62(C).
    16. Mostafa Monzur Hasan & Grantley Taylor & Grant Richardson, 2022. "Brand Capital and Stock Price Crash Risk," Management Science, INFORMS, vol. 68(10), pages 7221-7247, October.
    17. Giacomo Damioli & Vincent Van Roy & Daniel Vertesy & Marco Vivarelli, 2023. "AI technologies and employment: micro evidence from the supply side," Applied Economics Letters, Taylor & Francis Journals, vol. 30(6), pages 816-821, March.
    18. Jeong†Bon Kim & Liandong Zhang, 2016. "Accounting Conservatism and Stock Price Crash Risk: Firm†level Evidence," Contemporary Accounting Research, John Wiley & Sons, vol. 33(1), pages 412-441, March.
    19. Jiang, Kangqi & Du, Xinyi & Chen, Zhongfei, 2022. "Firms' digitalization and stock price crash risk," International Review of Financial Analysis, Elsevier, vol. 82(C).
    20. Babina, Tania & Fedyk, Anastassia & He, Alex & Hodson, James, 2024. "Artificial intelligence, firm growth, and product innovation," Journal of Financial Economics, Elsevier, vol. 151(C).
    21. Dominic Chalmers & Niall G. MacKenzie & Sara Carter, 2021. "Artificial Intelligence and Entrepreneurship: Implications for Venture Creation in the Fourth Industrial Revolution," Entrepreneurship Theory and Practice, , vol. 45(5), pages 1028-1053, September.
    22. Guanming He & Lu Bai & Helen Mengbing Ren, 2019. "Analyst coverage and future stock price crash risk," Journal of Applied Accounting Research, Emerald Group Publishing Limited, vol. 20(1), pages 63-77, April.
    23. Daron Acemoglu & Pascual Restrepo, 2018. "Artificial Intelligence, Automation and Work," Boston University - Department of Economics - Working Papers Series dp-298, Boston University - Department of Economics.
    24. Ding, Mingfa & He, Zhongda & Jia, Yuecheng & Shen, Mi, 2021. "State ownership, implicit government guarantees, and crash risk: Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 65(C).
    25. Yu, Jingwen & Mai, Dongren, 2020. "Political turnover and stock crash risk: Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 61(C).
    26. Chen, Changling & Kim, Jeong-Bon & Yao, Li, 2017. "Earnings smoothing: Does it exacerbate or constrain stock price crash risk?," Journal of Corporate Finance, Elsevier, vol. 42(C), pages 36-54.
    27. Chen, Yangyang & Fan, Qingliang & Yang, Xin & Zolotoy, Leon, 2021. "CEO early-life disaster experience and stock price crash risk," Journal of Corporate Finance, Elsevier, vol. 68(C).
    28. Jeong†Bon Kim & Zheng Wang & Liandong Zhang, 2016. "CEO Overconfidence and Stock Price Crash Risk," Contemporary Accounting Research, John Wiley & Sons, vol. 33(4), pages 1720-1749, December.
    29. Kim, Jeong-Bon & Li, Yinghua & Zhang, Liandong, 2011. "Corporate tax avoidance and stock price crash risk: Firm-level analysis," Journal of Financial Economics, Elsevier, vol. 100(3), pages 639-662, June.
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