摘要
采用GARCH模型对上海股票市场的潜在风险进行了度量.通过对三种不同分布(N orm al,Student-t,GED)进行返回检验,可看出GED分布能更好地刻画上证指数的尖峰厚尾特征,从而也能更准确地预测沪市的风险值.
Forecast the Value-at-Risk of shanghai stock market adopting GARCH model. Through returning examination of three different distributions （Normal,Student-t,GED）,we can see GED distrition can delineate excess kurtosis and fat tail better,and then it can predict the value-at-risk of stock markets of Shanghai more accurately.
出处
《太原师范学院学报（自然科学版）》
2006年第2期1-4,共4页
Journal of Taiyuan Normal University:Natural Science Edition
关键词
GARCH模型
厚尾分布
风险值
GARCH model
fat-tailed distribution
value-at-risk
