摘要
This paper presents the principle of Monte Carlo optimize calculation of credit risk VaR for loan portfolio using Importance Sampling technique. Based on Matlab language,simulation experiments are carried out and the result shows this approach can effectively reduce the number of simulation runs and improve the precision of parameter estimation.
This paper presents the principle of Monte Carlo optimize calculation of credit risk VaR for loan portfolio using Importance Sampling technique. Based on Matlab language,simulation experiments are carried out and the result shows this approach can effectively reduce the number of simulation runs and improve the precision of parameter estimation.
出处
《统计研究》
CSSCI
北大核心
2003年第6期39-43,共5页
Statistical Research
基金
国家自然科学基金和加拿大麦吉尔大学联合资助项目"VaR信用风险模型及在中国商业银行风险管理中的应用"(CUIPP NSFC 2 0 0 1)