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金融科技能缓解银行脆弱性吗

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摘要 本文采用文本挖掘法构建了商业银行金融科技水平指标,选取2011—2021年我国39家上市商业银行的相关数据,借助随机前沿效率估计模型构建了商业银行脆弱性指标,并据此考察了商业银行金融科技水平对商业银行脆弱性的影响。本研究发现,金融科技的运用可以缓解银行间竞争,提高银行表外业务水平,从而显著降低商业银行脆弱性,但此效用对中小银行影响较弱。本文进一步构建银行利差与监管套利水平的面板门限模型后发现,当银行利差水平高于门限值或监管套利水平低于门限值时,金融科技对银行脆弱性才具有缓解作用。政策上应注意金融科技的适用性,控制银行监管套利。 Text mining method was used to construct the fintech level index of commercial banks.The data of 39 domestic listed commercial banks from 2011 to 2020 were selected to construct the vulnerability index of commercial banks with the help of stochastic frontier efficiency estimation model,and the impact of the fintech level of commercial banks on the vulnerability of commercial banks was investigated.It is found that the application of fintech can alleviate inter-bank competition and improve the level of banks'off-balance sheet business,thus significantly alleviating the vulnerability of commercial banks.However,the effect of fintech on small and medium-sized banks is weak.Further,we construct the panel threshold model of bank interest spread and regulatory arbitrage level,and find that when the level of bank interest spread is high or the level of regulatory arbitrage is low,fintech can alleviate the vulnerability of banks.It is suggested that policies should pay attention to the applicability of financial technology and control bank regulatory arbitrage.
作者 李程 吴卓然
出处 《金融监管研究》 CSSCI 北大核心 2023年第5期78-100,共23页 Financial Regulation Research
基金 教育部哲学社会科学后期资助项目“资产负债表关联与风险溢出双重视角下的政府杠杆率结构性优化研究”的资助,项目编号21JHQ068
关键词 金融科技 银行脆弱性 文本挖掘 随机前沿模型 Fintech Bank Vulnerability Text Mining Stochastic Frontier Model
作者简介 李程,博士,教授,天津工业大学经济与管理学院金融系,联系方式:licheng81121@163.com;吴卓然,硕士,淄博职业学院会计学院
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