摘要
以2010—2019年上市银行数据为基础,使用文本挖掘法和主成分分析法,构建不同时期各银行的金融科技运用合成指标,研究银行金融科技的运用对银行信贷顺周期性的影响及异质性,研究发现,金融科技的应用降低了银行顺周期性,主要表现在投入和技术应用角度;金融科技应用对银行信贷顺周期性的抑制作用具有异质性,即相比中小银行,大型银行的抑制作用更加显著。进一步研究发现,大银行金融科技对信用贷款顺周期现象的抑制作用更强,即大银行金融科技应用提高了软信息获取能力以缓解顺周期性;同时低资本充足率的银行金融科技的运用对信贷顺周期抑制作用更明显。
Based on the data of listed banks in China from 2010 to 2019,and using text mining and principal component analysis,this study constructed a synthetic index of financial technology applications by banks over multiple periods and examined the impact of financial technology applications on bank credit procyclicality,as well as the heterogeneity of the impact.The results found that financial technology reduced the procyclicality of banks through investment and technology application.In addition,the noted impact was heterogeneous across multiple bank credit scales.Compared to small and medium banks,the impact on large banks was more prominent.Further analysis showed that financial technology improved the ability of large banks to obtain soft information to alleviate procyclicality,although the effect was prominent in banks with low capital adequacy ratios.
作者
张庆君
张港燕
Zhang Qingjun;Zhang Gangyan(School of Economics,Tianjin University of Finance and Economics,Tianjin 300221,China)
出处
《金融经济学研究》
CSSCI
北大核心
2021年第5期63-82,共20页
Financial Economics Research
基金
国家社会科学基金后期资助项目(20FJYB003)。
关键词
银行金融科技
信贷顺周期性
信用贷款
financial technology
credit procyclicality
unsecured loan