This paper compares the models in Predicting the VaR of stock price indexes in China. Our results indicate that the normal model usually underestimate the VaR when given probability is 0 01 or 0 02,and the weighted no...This paper compares the models in Predicting the VaR of stock price indexes in China. Our results indicate that the normal model usually underestimate the VaR when given probability is 0 01 or 0 02,and the weighted normal model usually overestimate the VaR when given probability is 0 04 or 0 05. The historical simulating model and Logistic distribution model are superior to normal model and to weighted nomal model in predicting the VaR.展开更多
对金融资产风险的度量与经济资本的分配应该体现分散化效应,传统的V aR方式不能保证分散化效应的次可加性.本文讨论了基于T a ilV aR这一新的风险度量与经济资本分配标准,并在违约率均值不变情况下,对C red itR isk+模型下的商业银行经...对金融资产风险的度量与经济资本的分配应该体现分散化效应,传统的V aR方式不能保证分散化效应的次可加性.本文讨论了基于T a ilV aR这一新的风险度量与经济资本分配标准,并在违约率均值不变情况下,对C red itR isk+模型下的商业银行经济资本分配进行了实证分析.展开更多
文摘This paper compares the models in Predicting the VaR of stock price indexes in China. Our results indicate that the normal model usually underestimate the VaR when given probability is 0 01 or 0 02,and the weighted normal model usually overestimate the VaR when given probability is 0 04 or 0 05. The historical simulating model and Logistic distribution model are superior to normal model and to weighted nomal model in predicting the VaR.
