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Impacts of geopolitical risk and economic policy uncertainty on metal futures price volatility: Evidence from China

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  • Jia, Lijun
  • Xu, Ruoyu
  • Wu, Jian
  • Song, Malin
  • Chen, Xueli

Abstract

In recent periods, the global metal trade has faced heightened uncertainty due to evolving geopolitical events and the dynamism of economic policies. The present study offers a detailed and encompassing investigation into the impacts of geopolitical risk (GPR) and economic policy uncertainty (EPU) on price volatility in the metal futures market. Notably, existing literature in this domain remains sparse. As a response, our analysis delves into the time-varying effects, volatility spillover dynamics, and heterogeneity across various countries and regions. Methodologically, we employ the GARCH-MIDAS framework, with a specific focus on the metal futures market in China. The research yields the following key findings: Firstly, aluminum futures prices exhibit sensitivity solely to geopolitical risk (GPR), whereas fluctuations in copper and zinc futures prices are influenced by both GPR and economic policy uncertainty (EPU). Furthermore, it is observed that GPR and EPU exert contrasting effects on price dynamics. Secondly, the impact of GPR and EPU on price fluctuations exhibits temporal variability. This influence gradually intensifies over time, culminating in a notable and sustained effect at a specific juncture post-2020. Thirdly, with the exception of copper futures, it is evident that GPR and EPU exert the most substantial influence on price fluctuations in metal resources exporting nations and countries with substantial demand for metal products within the context of China. The outcomes of this study carry significant policy implications. The observed time-varying effects may be construed as a reflection of the maturation process of China's metal futures market. Furthermore, the detected regional heterogeneity underscores the necessity for investors to differentially weigh countries when assessing the influence of geopolitical risk (GPR) and economic policy uncertainty (EPU) on China's metal futures market.

Suggested Citation

  • Jia, Lijun & Xu, Ruoyu & Wu, Jian & Song, Malin & Chen, Xueli, 2023. "Impacts of geopolitical risk and economic policy uncertainty on metal futures price volatility: Evidence from China," Resources Policy, Elsevier, vol. 87(PB).
    • Handle: RePEc:eee:jrpoli:v:87:y:2023:i:pb:s0301420723010395
    DOI: 10.1016/j.resourpol.2023.104328
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    1. Dario Caldara & Matteo Iacoviello, 2022. "Measuring Geopolitical Risk," American Economic Review, American Economic Association, vol. 112(4), pages 1194-1225, April.
    2. Brian M. Lucey & Sile Li, 2015. "What precious metals act as safe havens, and when? Some US evidence," Applied Economics Letters, Taylor & Francis Journals, vol. 22(1), pages 35-45, January.
    3. Bordo, Michael D. & Duca, John V. & Koch, Christoffer, 2016. "Economic policy uncertainty and the credit channel: Aggregate and bank level U.S. evidence over several decades," Journal of Financial Stability, Elsevier, vol. 26(C), pages 90-106.
    4. Robert F. Engle & Jose Gonzalo Rangel, 2008. "The Spline-GARCH Model for Low-Frequency Volatility and Its Global Macroeconomic Causes," The Review of Financial Studies, Society for Financial Studies, vol. 21(3), pages 1187-1222, May.
    5. Jiang, Yonghong & Lao, Jiashun & Mo, Bin & Nie, He, 2018. "Dynamic linkages among global oil market, agricultural raw material markets and metal markets: An application of wavelet and copula approaches," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 508(C), pages 265-279.
    6. Plakandaras, Vasilios & Gupta, Rangan & Wong, Wing-Keung, 2019. "Point and density forecasts of oil returns: The role of geopolitical risks," Resources Policy, Elsevier, vol. 62(C), pages 580-587.
    7. Dogan, Eyup & Majeed, Muhammad Tariq & Luni, Tania, 2021. "Analyzing the impacts of geopolitical risk and economic uncertainty on natural resources rents," Resources Policy, Elsevier, vol. 72(C).
    8. Zheng, Yao, 2015. "The linkage between aggregate investor sentiment and metal futures returns: A nonlinear approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 58(C), pages 128-142.
    9. Scott R. Baker & Nicholas Bloom & Steven J. Davis, 2016. "Measuring Economic Policy Uncertainty," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(4), pages 1593-1636.
    10. Mei, Dexiang & Zeng, Qing & Cao, Xiang & Diao, Xiaohua, 2019. "Uncertainty and oil volatility: New evidence," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 525(C), pages 155-163.
    11. George H. K. Wang & Jot Yau, 2000. "Trading volume, bid–ask spread, and price volatility in futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 20(10), pages 943-970, November.
    12. Yilanci, Veli & Kilci, Esra N., 2021. "The role of economic policy uncertainty and geopolitical risk in predicting prices of precious metals: Evidence from a time-varying bootstrap causality test," Resources Policy, Elsevier, vol. 72(C).
    13. Baur, Dirk G. & Smales, Lee A., 2020. "Hedging geopolitical risk with precious metals," Journal of Banking & Finance, Elsevier, vol. 117(C).
    14. Xia, Yufei & Sang, Chong & He, Lingyun & Wang, Ziyao, 2023. "The role of uncertainty index in forecasting volatility of Bitcoin: Fresh evidence from GARCH-MIDAS approach," Finance Research Letters, Elsevier, vol. 52(C).
    15. Demir, Ender & Danisman, Gamze Ozturk, 2021. "The impact of economic uncertainty and geopolitical risks on bank credit," The North American Journal of Economics and Finance, Elsevier, vol. 57(C).
    16. Salisu, Afees A. & Cuñado, Juncal & Gupta, Rangan, 2022. "Geopolitical risks and historical exchange rate volatility of the BRICS," International Review of Economics & Finance, Elsevier, vol. 77(C), pages 179-190.
    17. Noguera-Santaella, José, 2016. "Geopolitics and the oil price," Economic Modelling, Elsevier, vol. 52(PB), pages 301-309.
    18. Gang Shyy & Bob Butcher, 1994. "Price equilibrium and transmission in a controlled economy: A case study of the metal exchange in China," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 14(8), pages 877-890, December.
    19. Ashraf, Badar Nadeem & Shen, Yinjie, 2019. "Economic policy uncertainty and banks’ loan pricing," Journal of Financial Stability, Elsevier, vol. 44(C).
    20. Fabian Lutzenberger & Benedikt Gleich & Herbert G. Mayer & Christian Stepanek & Andreas W. Rathgeber, 2017. "Metals: resources or financial assets? A multivariate cross-sectional analysis," Empirical Economics, Springer, vol. 53(3), pages 927-958, November.
    21. Todorova, Neda & Clements, Adam E., 2018. "The volatility-volume relationship in the LME futures market for industrial metals," Resources Policy, Elsevier, vol. 58(C), pages 111-124.
    22. Peng-Fei Dai & Xiong Xiong & Toan Luu Duc Huynh & Jiqiang Wang, 2020. "The impact of economic policy uncertainties on the volatility of European carbon market," Papers 2007.10564, arXiv.org, revised Aug 2021.
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