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Dynamic spillovers and connectedness between oil returns and policy uncertainty

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  • En-Ze Wang
  • Chien-Chiang Lee

Abstract

This article investigates the dynamic connectedness and spillover effects between category policy uncertainty and WTI crude oil returns for oil-importing countries. To overcome the shortcomings of the traditional rolling-window method and obtain rigorous results, we adopt the TVP-VAR-based connectedness approach, apply it to full samples, and then estimate the dynamic spillovers between the series. Regarding the whole sample, the results reveal that economic policy uncertainty is as a net transmitter, and by employing four categorical policy uncertainty indices we reach the same conclusions. In particular, spillovers of fiscal policy uncertainty on crude oil returns are the most dominant ones, followed by exchange rate policy uncertainty, then monetary policy uncertainty, and finally trade policy uncertainty. And it is noteworthy that the network plots are employed by our article, which provides clearer evidence for the connectedness between variables. On a final note, Brent crude oil returns are utilized to increase the robustness of our conclusion.

Suggested Citation

  • En-Ze Wang & Chien-Chiang Lee, 2020. "Dynamic spillovers and connectedness between oil returns and policy uncertainty," Applied Economics, Taylor & Francis Journals, vol. 52(35), pages 3788-3808, July.
  • Handle: RePEc:taf:applec:v:52:y:2020:i:35:p:3788-3808
    DOI: 10.1080/00036846.2020.1722794
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    Cited by:

    1. Assaf, Ata & Charif, Husni & Mokni, Khaled, 2021. "Dynamic connectedness between uncertainty and energy markets: Do investor sentiments matter?," Resources Policy, Elsevier, vol. 72(C).
    2. Jiang, Xiaochen & Shen, Jim Huangnan & Lee, Chien-Chiang & Chen, Chong, 2021. "Supply-side structural reform and dynamic capital structure adjustment: Evidence from Chinese-listed firms," Pacific-Basin Finance Journal, Elsevier, vol. 65(C).
    3. Adeel Riaz & Assad Ullah & Li Xingong, 2024. "Does trade policy uncertainty in China and USA matter for key financial markets?," Economic Change and Restructuring, Springer, vol. 57(2), pages 1-30, April.
    4. Abakah, Emmanuel Joel Aikins & Nasreen, Samia & Tiwari, Aviral Kumar & Lee, Chien-Chiang, 2023. "U.S. leveraged loan and debt markets: Implications for optimal portfolio and hedging," International Review of Financial Analysis, Elsevier, vol. 87(C).
    5. Zhou, Xinxing & Gao, Yan & Wang, Ping & Zhu, Bangzhu, 2022. "Examining the overconfidence and overreaction in China’s carbon markets," Economic Analysis and Policy, Elsevier, vol. 75(C), pages 472-489.
    6. Qi, Haozhi & Ma, Lijun & Peng, Pin & Chen, Hao & Li, Kang, 2022. "Dynamic connectedness between clean energy stock markets and energy commodity markets during times of COVID-19: Empirical evidence from China," Resources Policy, Elsevier, vol. 79(C).
    7. Qin, Yun & Chen, Jinyu & Dong, Xuesong, 2021. "Oil prices, policy uncertainty and travel and leisure stocks in China," Energy Economics, Elsevier, vol. 96(C).
    8. Urom, C. & Mzoughi, Hela & Ndubuisi, Gideon & Guesmi, K., 2022. "Dynamic dependence between clean investments and economic policy uncertainty," MERIT Working Papers 2022-027, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    9. Lien, Donald & Zhang, Jiewen & Yu, Xiaojian, 2022. "Effects of economic policy uncertainty: A regime switching connectedness approach," Economic Modelling, Elsevier, vol. 113(C).
    10. Urom, Christian & Mzoughi, Hela & Ndubuisi, Gideon & Guesmi, Khaled, 2022. "Directional predictability and time-frequency spillovers among clean energy sectors and oil price uncertainty," The Quarterly Review of Economics and Finance, Elsevier, vol. 85(C), pages 326-341.
    11. Cagli, Efe Caglar & Mandaci, Pinar Evrim, 2023. "Time and frequency connectedness of uncertainties in cryptocurrency, stock, currency, energy, and precious metals markets," Emerging Markets Review, Elsevier, vol. 55(C).
    12. Urom, Christian & Mzoughi, Hela & Abid, Ilyes & Brahim, Mariem, 2021. "Green markets integration in different time scales: A regional analysis," Energy Economics, Elsevier, vol. 98(C).
    13. Liu, Rongyan & He, Lingyun & Xia, Yufei & Fu, Yating & Chen, Ling, 2023. "Research on the time-varying effects among green finance markets in China: A fresh evidence from multi-frequency scale perspective," The North American Journal of Economics and Finance, Elsevier, vol. 66(C).
    14. Lee, Chien-Chiang & Zhou, Hegang & Xu, Chao & Zhang, Xiaoming, 2023. "Dynamic spillover effects among international crude oil markets from the time-frequency perspective," Resources Policy, Elsevier, vol. 80(C).
    15. Zhang, Xiaoming & Zhang, Tong & Lee, Chien-Chiang, 2022. "The path of financial risk spillover in the stock market based on the R-vine-Copula model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 600(C).
    16. Cary, Michael, 2023. "Climate policy boosts trade competitiveness: Evidence from timber trade networks," Renewable and Sustainable Energy Reviews, Elsevier, vol. 188(C).
    17. Ömer Faruk TAN, 2023. "Is There Any Impact of the World Uncertainty Spillover Index (WUSI) on Firm Investment? Evidence from Turkey," Bingol University Journal of Economics and Administrative Sciences, Bingol University, Faculty of Economics and Administrative Sciences, vol. 7(1), pages 97-108, June.
    18. Zhu, Huiming & Chen, Weiyan & Hau, Liya & Chen, Qitong, 2021. "Time-frequency connectedness of crude oil, economic policy uncertainty and Chinese commodity markets: Evidence from rolling window analysis," The North American Journal of Economics and Finance, Elsevier, vol. 57(C).
    19. Su, Yun Hsuan & Rizvi, Syed Kumail Abbas & Umar, Muhammad & Chang, Hsuling, 2023. "Unveiling the relationship between oil and green bonds: Spillover dynamics and implications," Energy Economics, Elsevier, vol. 127(PA).
    20. Sheng Cheng & Wei Liu & Qisheng Jiang & Yan Cao, 2023. "Multi–Scale Risk Connectedness Between Economic Policy Uncertainty of China and Global Oil Prices in Time–Frequency Domains," Computational Economics, Springer;Society for Computational Economics, vol. 61(4), pages 1593-1616, April.

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