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The Impact of Electronic Banking on the Credit Risk of Commercial Banks —An Empirical Study Based on KMV Model

机译:电子银行对商业银行信用风险的影响-基于KMV模型的实证研究

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Due to the birth of the age of Big Data and the development of Internet finance, electronic banking has been booming. With the application of descriptive statistics, KMV model, panel data regression and robustness testing, this paper examines the validity of KMV model as a measurement of the credit risk of financial institutions, and reveals the impact of electronic banking on the credit risk of commercial banks. The findings are as follows: First, the default distance based on the KMV model can well reflect the credit risk of banks; Second, the growing electronic banking may increase the credit risk, considering the lack of governmental and industrial regulation; At last, the credit risk of banks under different systems have their unique characteristics, so that a clearly defined division of responsibilities for risk control and supervision is needed.
机译:由于大数据时代的到来以及互联网金融的发展,电子银行一直在蓬勃发展。通过描述性统计,KMV模型,面板数据回归和稳健性测试的应用,检验了KMV模型作为衡量金融机构信用风险的有效性,并揭示了电子银行对商业银行信用风险的影响。 。研究结果如下:首先,基于KMV模型的默认距离可以很好地反映银行的信用风险。其次,考虑到缺乏政府和行业法规,电子银行的发展可能会增加信贷风险。最后,不同制度下银行的信用风险具有其独特的特征,因此需要明确界定风险控制和监督的职责分工。

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