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Cross-category and cross-country spillovers of economic policy uncertainty: Evidence from the US and China

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  • Liu, Tangyong
  • Gong, Xu
  • Ge, Houyi
  • Wang, Jie

Abstract

Using both time and frequency spillover index method, this paper studies the cross-category and cross-country spillover effect of economic policy uncertainty (EPU) within and between the US and China from January 2000 to May 2022. The empirical results show that the cross-category EPU spillover within China is higher than that within the US, and the cross-country EPU spillover from the US to China is higher than that from China to the US. More importantly, we found that trade policy plays the most important role in the cross-country spillover.

Suggested Citation

  • Liu, Tangyong & Gong, Xu & Ge, Houyi & Wang, Jie, 2023. "Cross-category and cross-country spillovers of economic policy uncertainty: Evidence from the US and China," The North American Journal of Economics and Finance, Elsevier, vol. 68(C).
  • Handle: RePEc:eee:ecofin:v:68:y:2023:i:c:s1062940823001110
    DOI: 10.1016/j.najef.2023.101988
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    References listed on IDEAS

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    1. Chang, Tsangyao & Chen, Wen-Yi & Gupta, Rangan & Nguyen, Duc Khuong, 2015. "Are stock prices related to the political uncertainty index in OECD countries? Evidence from the bootstrap panel causality test," Economic Systems, Elsevier, vol. 39(2), pages 288-300.
    2. Colombo, Valentina, 2013. "Economic policy uncertainty in the US: Does it matter for the Euro area?," Economics Letters, Elsevier, vol. 121(1), pages 39-42.
    3. Liu, Tangyong & Gong, Xu, 2020. "Analyzing time-varying volatility spillovers between the crude oil markets using a new method," Energy Economics, Elsevier, vol. 87(C).
    4. Paul Luk & Michael Cheng & Philip Ng & Ken Wong, 2020. "Economic policy uncertainty spillovers in small open economies: The case of Hong Kong," Pacific Economic Review, Wiley Blackwell, vol. 25(1), pages 21-46, February.
    5. Gong, Xu & Liu, Yun & Wang, Xiong, 2021. "Dynamic volatility spillovers across oil and natural gas futures markets based on a time-varying spillover method," International Review of Financial Analysis, Elsevier, vol. 76(C).
    6. Jiang, Yonghong & Zhu, Zixuan & Tian, Gengyu & Nie, He, 2019. "Determinants of within and cross-country economic policy uncertainty spillovers: Evidence from US and China," Finance Research Letters, Elsevier, vol. 31(C).
    7. Wen, Fenghua & Chen, Meng & Zhang, Yun & Miao, Xiao, 2023. "Oil price uncertainty and audit fees: Evidence from the energy industry," Energy Economics, Elsevier, vol. 125(C).
    8. Wen, Fenghua & Li, Cui & Sha, Han & Shao, Liuguo, 2021. "How does economic policy uncertainty affect corporate risk-taking? Evidence from China," Finance Research Letters, Elsevier, vol. 41(C).
    9. Gong, Xu & Fu, Chengbo & Huang, Qiping & Lin, Meimei, 2022. "International political uncertainty and climate risk in the stock market," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 81(C).
    10. Gong, Xu & Xu, Jun, 2022. "Geopolitical risk and dynamic connectedness between commodity markets," Energy Economics, Elsevier, vol. 110(C).
    11. Ji, Qiang & Geng, Jiang-Bo & Tiwari, Aviral Kumar, 2018. "Information spillovers and connectedness networks in the oil and gas markets," Energy Economics, Elsevier, vol. 75(C), pages 71-84.
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    Cited by:

    1. Wu, Chao & Zhao, Ke & Liu, Jinquan & Zhao, Xiuyi, 2024. "Cross-country spillovers of trade uncertainty and their formation mechanisms," Finance Research Letters, Elsevier, vol. 66(C).
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    3. Zhang, Jun & Chen, Donghui, 2024. "Time-frequency cross-country spillovers of climate policy uncertainty: Does it matter for financial risk?," Energy, Elsevier, vol. 312(C).

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    More about this item

    Keywords

    Spillover effect; Frequency spillover; Economic policy uncertainty;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E61 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Policy Objectives; Policy Designs and Consistency; Policy Coordination

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