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基于Markov区制转换模型的极值风险度量研究
引用本文:张保帅,周孝华,李强,冯梦雨.基于Markov区制转换模型的极值风险度量研究[J].统计与信息论坛,2012,27(9):26-31.
作者姓名:张保帅  周孝华  李强  冯梦雨
作者单位:1. 重庆大学经济与工商管理学院,重庆,400030
2. 中国人民银行延安市中心支行,陕西延安,716000
基金项目:中央高校基本科研业务费资助项目《基于Copula理论的地方投融资平台风险研究》(CDJXS11021112)
摘    要:将马尔科夫区制转换模型与极值理论相结合研究金融风险度量问题.首先用SWARCH-t模型捕捉收益率序列的剧烈波动和结构变换特征,然后将收益序列转化为标准残差序列,在此基础上通过SWARCH-t模型与极值理论相结合拟合标准残差的尾部分布,进而构建基于SWARCH- t- EVT的动态VaR模型,最后对模型的有效性进行检验.研究表明,SWARCH-t-EVT模型能够有效识别上证综指的波动区制特征,且能有效合理地测度上证综指收益风险,尤其在高的置信水平下表现更好.

关 键 词:SWARCH-t模型  极值风险  阀值

Study on Extreme Risk Measurement Based on Markov Regime Switching Model
ZHANG Bao-shuai , ZHOU Xiao-hua , LI Qiang , FENG Meng-yu.Study on Extreme Risk Measurement Based on Markov Regime Switching Model[J].Statistics & Information Tribune,2012,27(9):26-31.
Authors:ZHANG Bao-shuai  ZHOU Xiao-hua  LI Qiang  FENG Meng-yu
Institution:1.School of Economy and Business Administration,Chongqing University,Chongqing 400030,China; 2.Yan’an Central Sub-Branch,The People’s Bank of China,Yan’an 716000,China)
Abstract:The main innovations of this paper is to study financial risk measurement by combining Markov switching model with extreme value theory.This paper captures the volatility and structure transformation characteristics of the return series by SWARCH-t model,then transforms the return series into the standard residuals series,on this basis,fits the tail distribution of the standard residuals series by combining Markov switching model with extreme value theory,and establishes a new financial risk measurement mode——based on the SWARCH-t-EVT dynamic VaR model,finally tests the validity of the model.The results show that the SWARCH-t-EVT model can effectively identify SSEC Index volatility regime characteristics,also effectively and reasonably measure the risk of SSEC Index,especially in the high confidence level.
Keywords:SWARCH-t model  extreme risk  threshold value
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