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基于EGARCH-CVaR的我国股市风险分析
引用本文:王菲.基于EGARCH-CVaR的我国股市风险分析[J].科学技术与工程,2011(26).
作者姓名:王菲
作者单位:华南理工大学,广州,510640
摘    要:根据我国股票市场收益的基本特征,对上证180指数收益率序列分别构建基于正态分布、t分布和GED分布的EGARCH模型。通过计算三种不同分布下的CVaR值,对股市风险进行分析。并将EGARCH模型的CVaR值与GARCH模型的CVaR值进行比较。结果表明,基于广义误差分布的EGARCH模型(EGARCH-GED)能更好地刻画我国股市的市场风险。

关 键 词:CVaR  EGARCH模型  GARCH模型
收稿时间:6/10/2011 4:33:39 PM
修稿时间:2011/6/17 0:00:00

Study on Risk in Chinese Stock Market Based on EGARCH-CVaR
wangfei.Study on Risk in Chinese Stock Market Based on EGARCH-CVaR[J].Science Technology and Engineering,2011(26).
Authors:wangfei
Institution:WANG Fei,FANG Wei-dong(South China University of Technology,Guangzhou 510640,P.R.China)
Abstract:Based on the basic characteristics of return serious in Chinese Stock Market,by the model of EGARCH with normal distribution,generalized distribution and t distribution,which are used to calculate CVaR and then compared with the GARCH model.It shows that EGARCH-GED model is a better method to describe the market risk in Chinese Stock Market.
Keywords:CVaR  EGARCH model  GARCH model
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