信用風(fēng)險模型的分析與蒙特卡洛模擬
[Abstract]:In view of the weakness of credit risk management in domestic commercial banks, this paper makes a brief theoretical analysis of four credit risk models, CreditMetrics model, KMV model, CreditRisk model and CPV model, which are widely used in international practice. According to the actual situation of our country, we choose CreditMetrics model and KMV model as the emphasis of theoretical analysis. Then the mathematical model is established, and the validity of the two models is verified by Monte Carlo simulation. At the same time, the CreditMetrics model and the KMV model are partly modified in this paper. In the process of calculating the forward value of the loan in the CreditMetrics model, the credit level transfer path of the loan is simulated, compared with the previous model. The modified model can obtain the continuous distribution of the risk value of the loan portfolio and realize a more accurate estimation of the risk value of the loan portfolio. In the KMV model, the expected default distance is used instead of the expected default rate to measure the credit risk of the enterprise. The paper tries to distinguish the ST company from the non-ST company by the change rate of the expected default distance. Finally, starting from the current situation of credit risk of commercial banks in China, this paper makes a comparative analysis of the four credit risk management models, and expounds the ideas, assumptions, advantages and disadvantages of each model, as well as the comparison of various aspects, respectively. This paper discusses the necessity and feasibility of these models in the application of credit risk management of commercial banks in China.
【學(xué)位授予單位】:西南財經(jīng)大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2012
【分類號】:F832.33;F224
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