中国大陆及周边股市动态ES风险传导关系效应研究  

Study on Contagion Effect of Extreme Risk among China Mainland Stock Market and Other Circumjacent International Stock Markets

作　　者：林宇[1] 陈王[2] 

机构地区：[1]成都理工大学商学院,成都610059 [2]西南交通大学经济管理学院,成都610031

出　　处：《管理评论》2012年第9期64-74,共11页Management Review

基　　金：国家自然科学基金项目(71071131;71171025);国家社会科学基金项目(12BGL024);教育部人文社会科学研究青年基金(10YJCZH086);成都理工大学中青年骨干教师培养计划(2011-013)

摘　　要：探索金融市场极端风险传导机理一直是政府管理当局、投资者关注的焦点。本文针对股市中存在的典型事实及股市损失分布复杂性特点,运用ARMA-GJR对股市指数条件损失进行建模分析,进而运用EVT对标准残差的极值尾部建模估计出股市极端风险ES,然后运用Granger-Causality检验技术,分别考察两个市场间极端风险ES的传导关系。实证结果表明:在整个样本期间,中国大陆沪深股市极端风险具有双向传导关系,香港市场向深市传导风险,而深市不能向香港传导风险,东京市场与香港市场、香港与台湾市场具有双向传导关系;而在熊市期间,中国大陆与周边市场极端风险ES传导关系变得更为复杂。Both the government and investors are keen to find contagion mechanism of extreme risk in financial markets. This paper applies ARMA-GJR to model conditional loss of different stock index for Chinese stock and other circumjacent markets in Asia based on some stylized facts, then applies EVT to model their standard residuals series and gets dynamic extreme risk ES time series for every stock market index. At last, the paper applies Granger-Causality technology to analyze contagion effect for these extreme risk ES. The results show that there exist two-way contagion relationship between SSEC and SZEC, between SZEC and STI, and extreme risk contagion from HSIN to SZEC risk throughout the entire sampling period; the contagion effect become more complex during bear period.

关 键 词：金融市场 典型事实 极端风险 熊市期间 传导效应 

分 类 号：F224[经济管理—国民经济] F832.51