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Policy uncertainty and sectoral stock market volatility in China

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  • Si, Deng-Kui
  • Zhao, Bing
  • Li, Xiao-Lin
  • Ding, Hui

Abstract

This study examines the dynamic volatility connectedness between different types of policy uncertainty and sectoral stock markets in both the time and frequency domains in China. Using the time–frequency connectedness index approach, we find extremely high connectedness between policy uncertainty and Chinese sectoral stock markets mainly in the medium and long terms. In particular, uncertainty regarding monetary policies makes the weakest contribution to spillovers among the four policy uncertainties, while uncertainty regarding trade policies contributes prominently. The energy, financial, IT, telecommunication services and utilities sectors are the most vulnerable to policy uncertainties.

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  • Si, Deng-Kui & Zhao, Bing & Li, Xiao-Lin & Ding, Hui, 2021. "Policy uncertainty and sectoral stock market volatility in China," Economic Analysis and Policy, Elsevier, vol. 69(C), pages 557-573.
    • Handle: RePEc:eee:ecanpo:v:69:y:2021:i:c:p:557-573
    DOI: 10.1016/j.eap.2021.01.006
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    Cited by:

    1. Dai, Zhifeng & Peng, Yongxin, 2022. "Economic policy uncertainty and stock market sector time-varying spillover effect: Evidence from China," The North American Journal of Economics and Finance, Elsevier, vol. 62(C).
    2. Pan, Yueling & Hou, Lei & Pan, Xue, 2022. "Interplay between stock trading volume, policy, and investor sentiment: A multifractal approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 603(C).
    3. Zhu, Huiming & Chen, Yiwen & Ren, Yinghua & Xing, Zhanming & Hau, Liya, 2022. "Time-frequency causality and dependence structure between crude oil, EPU and Chinese industry stock: Evidence from multiscale quantile perspectives," The North American Journal of Economics and Finance, Elsevier, vol. 61(C).
    4. Zhuo Chen & Bo Yan, 2022. "The impact of trade policy on soybean futures in China," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(4), pages 1152-1163, June.
    5. Rababa’a, Abdel Razzaq Al & Alomari, Mohammad & Rehman, Mobeen Ur & McMillan, David & Hendawi, Raed, 2022. "Multiscale relationship between economic policy uncertainty and sectoral returns: Implications for portfolio management," Research in International Business and Finance, Elsevier, vol. 61(C).
    6. Wu, Ruirui & Qin, Zhongfeng & Liu, Bing-Yue, 2022. "A systemic analysis of dynamic frequency spillovers among carbon emissions trading (CET), fossil energy and sectoral stock markets: Evidence from China," Energy, Elsevier, vol. 254(PA).
    7. Wu, Hao & Zhu, Huiming & Huang, Fei & Mao, Weifang, 2023. "How does economic policy uncertainty drive time–frequency connectedness across commodity and financial markets?," The North American Journal of Economics and Finance, Elsevier, vol. 64(C).
    8. Xiaqing Su & Zhe Liu, 2021. "Sector Volatility Spillover and Economic Policy Uncertainty: Evidence from China’s Stock Market," Mathematics, MDPI, vol. 9(12), pages 1-22, June.
    9. Salisu, Afees & Salisu, Sulaiman & Salisu, Subair, 2023. "A news-based economic policy uncertainty index for Nigeria," MPRA Paper 119539, University Library of Munich, Germany, revised 13 Aug 2023.

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