Education, Science, Technology, Innovation and Life
Open Access
Sign In

Research on Stress Test of Bank Credit Risk in International Trade Based on DEA Model

Download as PDF

DOI: 10.23977/ferm.2023.060112 | Downloads: 30 | Views: 715

Author(s)

Zongrui Xie 1

Affiliation(s)

1 International College of Hebei University, Baoding, Hebei, 071000, China

Corresponding Author

Zongrui Xie

ABSTRACT

International trade financing refers to the sum of all kinds of services provided by banks to meet the capital needs of traders around the capital needs and the laws of capital flow, combined with all aspects of international settlement. As an important part of finance, banking has played a great role in promoting economic and social development. Similarly, economic and social development will also promote the progress and development of banking. With the continuous development of the international economic and financial situation, the potential risks of international trade financing are also growing and changing. Studying the application of stress testing in commercial banks can effectively find the shortcomings of stress testing in commercial banks, which has positive theoretical and practical significance for the docking of management concepts and corporate culture and the construction of a comprehensive risk management system. According to the theory of credit portfolio, this paper puts forward a stress test scheme of bank credit risk in international trade based on DEA, so as to strengthen the management and control of credit risk and ensure the long-term healthy and stable development of banks.

KEYWORDS

International trade, Commercial banks, Credit risk, Stress testing

CITE THIS PAPER

Zongrui Xie, Research on Stress Test of Bank Credit Risk in International Trade Based on DEA Model. Financial Engineering and Risk Management (2023) Vol. 6: 79-84. DOI: http://dx.doi.org/10.23977/ferm.2023.060112.

REFERENCES

[1] Fontes J C, Panaretou A, Peasnell K V. The Impact of Fair Value Measurement for Bank Assets on Information Asymmetry and the Moderating Effect of Own Credit Risk Gains and Losses[J]. Accounting Review, 2018, 93(6):127-147.
[2] Djebali N, Zaghdoudi K. Threshold effects of liquidity risk and credit risk on bank stability in the MENA region[J]. Journal of Policy Modeling, 2020, 42(5):1049-1063.
[3] Hot V H. Sustainable Finance & China's Green Credit Reforms: A Test Case for Bank Monitoring of Environmental Risk[J]. Cornell international law journal, 2018, 51(3):609-681.
[4] Marcel F, Malte R. Monetary Policy, Bank Bailouts and the Sovereign-Bank Risk Nexus in the Euro Area[J]. Review of Finance, 2018, 2018(4):4.
[5] Gopalakrishnan B, Jacob J, Mohapatra S. Risk-sensitive Basel regulations and firms' access to credit: Direct and indirect effects[J]. Journal of Banking & Finance, 2021, 126(2):106101.
[6] Osmundsen K K. Using expected shortfall for credit risk regulation[J]. Journal of International Financial Markets Institutions and Money, 2018, 57(11):80-93.
[7] Chang C, Fuh C D, Kao C. Reading between the ratings: Modeling residual credit risk and yield overlap[J]. Journal of Banking & Finance, 2017, 81(8):114-135.
[8] Zhang Xi, Zhu Li, Liu Luhui, et al. Intelligent risk contagion mechanism of credit lending in interbank market based on multi-layer network [J]. Computer Application, 2019, 39(5):1507-1511.
[9] Zhao Yueqiang, Bai Manying. Stress testing and evaluation of the debt risk of China's old-age security system transformation [J]. Quantitative economic technical and economic research, 2018, 35(4):17.
[10] He Zhiquan. Research on stress testing of commercial banks based on SVAR model [J]. System Science and Mathematics, 2017, 37(7):17.

Downloads: 17836
Visits: 348561

All published work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright © 2016 - 2031 Clausius Scientific Press Inc. All Rights Reserved.