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Risk analysis of China Stock Market based on EGARCH-M models and Shanghai-Shenzhen 300 index

机译:基于EGARCH-M模型和沪深300指数的中国股市风险分析

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This paper highlights that EGARCH(1,1)-M models based on generalized error distribution (GED) , student-t distribution and normal distribution are applied to calculate VaR of day logarithm return series of Shanghai-Shenzhen 300 index, and are compared with GARCH(1,1) model based on normal distribution. The empirical research through statistical analysis and back-testing has shown that EGARCH(1,1)-M model based on GED distribution was superior to the other three on describing in the market risk of China stock market. Based on the analysis results this study comes to the conclusions and some suggestions for the further research.
机译:本文重点介绍了基于广义误差分布(GED),student-t分布和正态分布的EGARCH(1,1)-M模型用于计算沪深300指数的日对数收益率系列的VaR并与之进行比较基于正态分布的GARCH(1,1)模型。通过统计分析和回测的实证研究表明,基于GED分布的EGARCH(1,1)-M模型在描述中国股市的市场风险方面优于其他三个模型。在分析结果的基础上,本研究得出结论,并提出了进一步研究的建议。

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