Risk Measurement of Chinese Commercial Banks Based on the Financial Model

ผู้แต่ง

  • ShuFan Hao School of Management, Shinawatra University
  • A. K. Mabubul Hye School of Management, Shinawatra University
  • Winai Pewkliang School of Management, Shinawatra University

คำสำคัญ:

Risk Measurement, Chinese Commercial Banks, Financial Model

บทคัดย่อ

The purposes of this article were 1) to analyze the relevant indicators in operational risk measure value, 2) to analyze the explanatory variables and conduct regression analysis between risk operation measures and independent variables, 3) to analyze the income model to obtain data and explain the corresponding variables, 4) to study OLS, measure the results and use the fuzzy Delphi analysis method, 5) to analyze the correlation among three types of commercial banks and compare them through empirical regression analysis, 6) to analyze the empirical results and provide relevant suggestions for the three types of listed commercial banks. The samples were collected through a combination of theoretical and empirical methods. During this process, key risk indicator points were summarized through relevant data, which was a statement of research technology. The framework theory was then set, relevant literature and research methods were collected, and OLS multiple linear regression was used to conduct regression analysis on the samples. The model data were obtained through model setting and hypothesis testing and empirical results analysis.

The results of this study indicated that the relative operational risk of urban commercial bank groups was significantly higher than that of the other two groups. At the end of the paper, the analysis of the empirical results provided relevant suggestions for strengthening the operational risk management of the three types of listed commercial banks. At the same time, after conducting regression analysis to obtain results, ten experts were invited to verify the results through a questionnaire survey by using the fuzzy Delphi method, fully verifying the consistency between the results and the analysis. For commercial banks, some suggested exercising power, being accountable to the people, strengthening supervision, clearly assigning responsibilities, and establishing appropriate organizational structures, having clear and comprehensive regulatory risk management systems with specialized databases to reduce losses. On this basis, the definition of capital regulation, and the strengthening capital regulation, would allow for a comprehensive analysis of the risk management measures of commercial banks.

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เอกสารอ้างอิง

Anurag, G., & Bing, L. (2015). Do hedge funds have enough capital? A value-at-risk approach. Financial Economics, 77(5), 219–253.

Ba, S. (2013). Research on the New Basel Capital Accord. China Financial Publishing House, 52(12), 25-28.

Ba, S., Wang, S., & Jin, L. l. (2017). Measurement and regulatory framework of bank operational risk under Basel III [J]. Journal of Dalian University of Technology (Social Science Edition), 38(1), 36-42.

Bin, J. C., & Wu, J. (2023). Fitting and Diagnosis of the Distribution of Operational Risk Losses, Chinese Commercial Banks Investment Research, 14(3), 20-32.

Cai, Z. X., & Sun, Q. (2007). Bank Operational Risk Estimation Based on Partitioned Multi objective Risk Model (PMRM) Economic issues, 15(11), 86-89.

Chen, X. H., Yang, H. Y., & Huang, X. Y. (2013). The Application of POT Model in Operational Risk Measurement of Commercial Banks. Management Science, 16(2), 49-52.

Dang, J. Z, Chen, H. M., & Wang, Q. H. (2017). Design of a Comprehensive Risk Management System for China Postal Savings Bank. Banker, 13(11), 69-72.

Eddie, C. (2014). Bank Risk Management (Translated by Wang Songqi). Beijing: China Financial Publishing House, 15(10), 33-34.

Fei, L., & Deng, M. R. (2007). Statistical Characteristics of Operational Risk in Commercial Banks and Empirical Capital Simulation. Financial forums, 15(8), 3-11.

Gu, J. P. (2015). Operational risk management of Chinese commercial banks. Beijing: China Financial Publishing House, 13(5), 12-15.

Han, W. Y. (2023). An Empirical Study on the Fertility Intention of Workplace Women in Taiyuan City: A Comprehensive Application Based on Fuzzy Delphi Method. Finance and Economics, 137(15), 47-52.

Huang, H. F., Wang, G. J., & Wang, Q. Z. (2006). Research on the Causes and Countermeasures of Operational Risk in Chinese State-owned Banks. Finance and Economics, 35(1), 27-30

Ji, N. F. (2005). Research on Operational Risk Management Methods for Commercial Banks, Economic Issues, 56(11), 69-70.

Joshua, V. R., & Til, S. (2016). A general approach to integrated risk management with skewed, fat-tailed risks. Financial Economics, 79(10), 569–614

Li, G. (2001). Preliminary Exploration of Internal Control System. Journal of Capital University of Economics and Trade, 13(6), 68-70.

Paul, E., Hansjorg, F., & Roger, K. (2013). Quantifying Regulatory Capital for Operational Risk. Derivatives Use [J]. Trading & Regulation. 12(9), 217-233.

Qian, H. H., & Xu, X. F. (2011). Analysis of Operational Risk Management Issues in Commercial Banks in China. Zhejiang Finance, 18(12), 27-33.

Sun, Y., Shang, Z. Y., & Pan, H. (2017). Commercial Bank Operational Risk Assessment – CVaR Model Based on EVT Theory. Industrial Technology Economy, 45(7), 126-129.

Xu, X. F. (2009). A New Theory on Operational Risk Management in Commercial Banks. Beijing: China Financial Publishing House, 23(12), 72-75.

Yu, C., & Zhou, W. (2014). Commercial banks are exploring ways and methods to measure risk losses. Economic Theory and Economic Management, 35(2), 78-84

ดาวน์โหลด

เผยแพร่แล้ว

2025-06-25

รูปแบบการอ้างอิง

Hao, S., Hye, A. K. M. . ., & Pewkliang, W. . (2025). Risk Measurement of Chinese Commercial Banks Based on the Financial Model . วารสารเซนต์จอห์น (สาขามนุษยศาสตร์และสังคมศาสตร์), 28(42), 33–54. สืบค้น จาก https://so13.tci-thaijo.org/index.php/SJUJOURNAL/article/view/2461

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