Proceedings of the International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2022, 17-19 June 2022, Qingdao, China

Research Article

Risk Measurement and Empirical Test of Chinese city Commercial banks

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  • @INPROCEEDINGS{10.4108/eai.17-6-2022.2322880,
        author={Xiao-wen  XU and Hai-feng  LI},
        title={Risk Measurement and Empirical Test of Chinese city Commercial banks},
        proceedings={Proceedings of the International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2022, 17-19 June 2022, Qingdao, China},
        publisher={EAI},
        proceedings_a={ICIDC},
        year={2022},
        month={10},
        keywords={urban commercial banks; bank risk; evaluation system; entropy method; income model},
        doi={10.4108/eai.17-6-2022.2322880}
    }
    
  • Xiao-wen XU
    Hai-feng LI
    Year: 2022
    Risk Measurement and Empirical Test of Chinese city Commercial banks
    ICIDC
    EAI
    DOI: 10.4108/eai.17-6-2022.2322880
Xiao-wen XU1, Hai-feng LI1,*
  • 1: Changchun University of Technology
*Contact email: li_haifeng59@163.com

Abstract

In the process of preventing and resolving systemic financial risks, compared with large commercial banks, the risk prevention and control ability of urban commercial banks has attracted more and more attention from regulators and academic circles. This paper selects the corresponding index data of 14 urban commercial banks from 2012 to 2019, evaluates the liquidity risk and credit risk of the sample urban commercial banks by adopting the relatively mature risk assessment methods in the current academic world, and measures the operational risk by using the income model. Research finding: first, the liquidity risk of the same bank fluctuates greatly during the sample period, while the credit risk fluctuates less; second, the liquidity risk gap between the sample banks is smanll, while the credit risk gap is large; third, liquidity risk and credit risk significantly restrict the profitability of banks, and the liquidity of banks with higher asset scale is more serious, while the credit risk of banks with lower asset scale is more serious; fourth, the lower level of the asset scale of the city business facing the operating risk loss higher than the higher asset scale of the city business. The conclusion of this paper has a certain reference value to grasp the risk problems of current urban commercial banks.