Volatility and asymmetric effect of random shocks: A comparison of Chinese and US stock markets

被引:0
|
作者
Wang Hua-cheng
Yin Mei-qun
机构
关键词
asymmetric effect; conditional variance; GARCH model; volatility;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper surveys the fields of relation between the stock returns and random shocks happened to the stock markets. We study the volatility of the returns in both Chinese stock market and U.S. stock market. We use GJR-GARCH model to measure the conditional variance of the stock return compared with the linear GARCH model, where we restrict the negative unconditional variance parameter bigger than the positive one with a dummy variable. We find the support from U.S. stock market that there exists asymmetric effect of random shocks on the stock return that the negative information will give much stronger effect than the positive one. But we didn't find evidence to support this hypothesis from Chinese stock market.
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页码:1462 / 1467
页数:6
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