Impacts of oil implied volatility shocks on stock implied volatility in China: Empirical evidence from a quantile regression approach
Impacts of oil implied volatility shocks on stock implied volatility in China: Empirical evidence from a quantile regression approach
复制标题
石油隐含波动率冲击对中国股票隐含波动率的影响:来自分位数回归方法的经验证据
DOI:
10.1016/j.eneco.2019.01.016
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发表时间:
2019
期刊:
影响因子:
12.8
通讯作者:
Wen Fenghua
中科院分区:
文献类型:
--
作者:
Xiao Jihong;Hu Chunyan;Ouyang Guangda;Wen Fenghua
This paper investigates the impacts of changes in the implied volatility index of the oil market (OVX) on the changes in the implied volatility index of the Chinese stock market (VXFXI). A quantile regression approach is applied to our empirical analysis, as this approach can perform a more detailed investigation under different market conditions. Moreover, we test whether the VXFXI changes would respond with lags and asymmetry to the OVX changes. Our empirical results show that the impacts of the OVX changes on the VXFXI changes are positive and tend to be stronger in bearish markets. Furthermore, the results of testing lagged effects reveal that strong linkages between the two variables are transient in different market conditions, which don't support the gradual information diffusion hypothesis very well. Finally, we find that the OVX changes can asymmetrically affect the VXFXI changes. Specifically, the negative OVX changes have stronger effects under bullish market conditions, while the positive OVX changes play a more important role during bearish periods.