摘要
利用文本挖掘法构建各银行金融科技发展指数,并基于2011—2020年492家商业银行数据,运用渐进双重差分理论和固定效应模型研究了银行金融科技与银行信用风险的关系。结果表明:金融科技与银行信用风险之间存在倒U型关系;金融科技通过自信效应加剧银行风险承担,增加信用风险;金融科技通过信息改善效应缓解银企信息不对称,降低信用风险;中小银行信用风险水平受金融科技影响更明显。
This paper used the text mining method to construct the fintech development index of each bank, and then introduced the progressive double difference theory and fixed effect model to study the relationship between bank fintech and bank credit risk based on the data of 492 commercial banks from 2011 to 2020. The results showed that, there was an inverted U-shaped relationship between fintech and bank credit risk. Fintech aggravated bank risk-taking through the confidence effect, and then increased credit risk. Furthermore, fintech alleviated bank-enterprise information asymmetry through the information improvement effect, and then reduced credit risk. Moreover, the credit risk level of small and medium banks was more sensitive to the impact of fintech.
作者
朱小能
李雄一
ZHU Xiao-neng;LI Xiong-yi(School of Finance,Shanghai University of Finance and Economics,Shanghai 200433;Shanghai Institute of International Finance and Economics,Shanghai 200433,China)
出处
《山西财经大学学报》
CSSCI
北大核心
2022年第11期39-52,共14页
Journal of Shanxi University of Finance and Economics
基金
国家社会科学基金重大项目(20&ZD102)
上海市高峰学科创新团队项目(2018110262)
上海财经大学创新团队项目(2018110698)。
