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

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  • Wang, Xinyu
  • Luo, Yi
  • Wang, Zhuqing
  • Xu, Yan
  • Wu, Congxin

Abstract

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.

Suggested Citation

  • Wang, Xinyu & Luo, Yi & Wang, Zhuqing & Xu, Yan & Wu, Congxin, 2021. "The impact of economic policy uncertainty on volatility of China’s financial stocks: An empirical analysis," Finance Research Letters, Elsevier, vol. 39(C).
  • Handle: RePEc:eee:finlet:v:39:y:2021:i:c:s1544612319314102
    DOI: 10.1016/j.frl.2020.101650
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    2. Yi, Sun & Raghutla, Chandrashekar & Chittedi, Krishna Reddy & Fareed, Zeeshan, 2023. "How economic policy uncertainty and financial development contribute to renewable energy consumption? The importance of economic globalization," Renewable Energy, Elsevier, vol. 202(C), pages 1357-1367.

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