The impact of economic policy uncertainty on volatility of China's financial stocks: An empirical analysis

被引:18
|
作者
Wang, Xinyu [1 ]
Luo, Yi [1 ]
Wang, Zhuqing [1 ]
Xu, Yan [1 ]
Wu, Congxin [1 ]
机构
[1] China Univ Min & Technol, Sch Econ & Management, 1 Daxue Rd, Xuzhou 221116, Jiangsu, Peoples R China
基金
中国国家自然科学基金;
关键词
MIDAS; Mixed frequency; Economic policy uncertainty; Financial stocks; Skewed T-distribution;
D O I
10.1016/j.frl.2020.101650
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
We modify the GARCH-MIDAS model by introducing a skewed T-distribution and employ it to study the impact of economic policy uncertainties on the volatility of China's financial stocks between 2000-2019. The modified model improves the fit to the data compared to the standard model with a Gaussian distribution. We find that economic policy uncertainties worldwide and in the European Union, Japan, Russia, Brazil, Canada, and China are negatively correlated with the long-term component of volatility of China's financial stocks. The heightened uncertainty in the US economic policy since 2017 has had a negative impact on the volatility of China's financial stocks.
引用
收藏
页数:12
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