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The role of G7 and BRICS country risks on critical metals: Evidence from time- and frequency-domain approach

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  • Gao, Wang
  • Zhang, Haizhen
  • Zhang, Hongwei
  • Yang, Shixiong

Abstract

In the context of fierce international competition, country risks continue rising, conducting the supply of critical metals becomes increasingly unstable. The global supply security of critical metals is also facing severe challenges. This paper utilizes a novel TVP-VAR time-frequency connectedness approach to examine the spillover effect of country risk (political, economic, and financial risk) on critical metals in G7 and BRICS countries. The results show a strong connectedness of country risks on the return of critical metals. From the static perspective, the short-term spillover effects of BRICS political risk on critical metals are more significant, especially for tungsten and rare earth. In the long run, the US and UK are the dominant drivers of spillover effects, whereby their economic and financial risks exert a significant impact. The net spillover connectedness network shows that the BRICS countries are net exporters of political risk, mainly China and Russia. The G7 countries are emitters of economic and financial risk. From the dynamic perspective, the spillover effect of country risks on critical metals is time-varying and significantly enhanced during the crisis. The Russian-Ukraine war made Russia's political risk reach the strongest, and there is still a clear upward trend even in the long run. Our research findings are of great significance for national security and development, as well as for investors in formulating investment portfolios.

Suggested Citation

  • Gao, Wang & Zhang, Haizhen & Zhang, Hongwei & Yang, Shixiong, 2024. "The role of G7 and BRICS country risks on critical metals: Evidence from time- and frequency-domain approach," Resources Policy, Elsevier, vol. 88(C).
  • Handle: RePEc:eee:jrpoli:v:88:y:2024:i:c:s0301420723009686
    DOI: 10.1016/j.resourpol.2023.104257
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    as
    1. Song, Yi & Zhang, Zhouyi & Zhang, Yijun & Cheng, Jinhua, 2022. "Technological innovation and supply of critical metals: A perspective of industrial chains," Resources Policy, Elsevier, vol. 79(C).
    2. Bakas, Dimitrios & Triantafyllou, Athanasios, 2018. "The impact of uncertainty shocks on the volatility of commodity prices," Journal of International Money and Finance, Elsevier, vol. 87(C), pages 96-111.
    3. Hammoudeh, Shawkat M. & Yuan, Yuan & McAleer, Michael & Thompson, Mark A., 2010. "Precious metals-exchange rate volatility transmissions and hedging strategies," International Review of Economics & Finance, Elsevier, vol. 19(4), pages 633-647, October.
    4. Islam, Md. Monirul & Sohag, Kazi & Alam, Md. Mahmudul, 2022. "Mineral import demand and clean energy transitions in the top mineral-importing countries," Resources Policy, Elsevier, vol. 78(C).
    5. Erdem Kilic & Serkan Cankaya, 2020. "Oil prices and economic activity in BRICS and G7 countries," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 28(4), pages 1315-1342, December.
    6. Kirtikumar Randive & Sanjeevani Jawadand, 2019. "Strategic minerals in India: present status and future challenges," Mineral Economics, Springer;Raw Materials Group (RMG);Luleå University of Technology, vol. 32(3), pages 337-352, November.
    7. Nicholas Taylor, 1998. "Precious metals and inflation," Applied Financial Economics, Taylor & Francis Journals, vol. 8(2), pages 201-210.
    8. Deligonul, Seyda Z., 2020. "Multinational country risk: Exposure to asset holding risk and operating risk in international business," Journal of World Business, Elsevier, vol. 55(2).
    9. Nathaniel Lane, 2020. "The New Empirics of Industrial Policy," Journal of Industry, Competition and Trade, Springer, vol. 20(2), pages 209-234, June.
    10. Koop, Gary & Korobilis, Dimitris, 2014. "A new index of financial conditions," European Economic Review, Elsevier, vol. 71(C), pages 101-116.
    11. Figuerola-Ferretti, Isabel & McCrorie, J. Roderick, 2016. "The shine of precious metals around the global financial crisis," Journal of Empirical Finance, Elsevier, vol. 38(PB), pages 717-738.
    12. Jan Ditzen & Yiannis Karavias & Joakim Westerlund, 2021. "Testing and Estimating Structural Breaks in Time Series and Panel Data in Stata," Papers 2110.14550, arXiv.org, revised Oct 2021.
    13. Zhu, Xuehong & Liao, Jianhui & Chen, Ying, 2021. "Time-varying effects of oil price shocks and economic policy uncertainty on the nonferrous metals industry: From the perspective of industrial security," Energy Economics, Elsevier, vol. 97(C).
    14. Baur, Dirk G. & Smales, Lee A., 2020. "Hedging geopolitical risk with precious metals," Journal of Banking & Finance, Elsevier, vol. 117(C).
    15. Berger, Theo & Uddin, Gazi Salah, 2016. "On the dynamic dependence between equity markets, commodity futures and economic uncertainty indexes," Energy Economics, Elsevier, vol. 56(C), pages 374-383.
    16. Hou, Wenyu & Liu, Huifang & Wang, Hui & Wu, Fengyang, 2018. "Structure and patterns of the international rare earths trade: A complex network analysis," Resources Policy, Elsevier, vol. 55(C), pages 133-142.
    17. Wang, Qiang & Dong, Zequn & Li, Rongrong & Wang, Lili, 2022. "Renewable energy and economic growth: New insight from country risks," Energy, Elsevier, vol. 238(PC).
    18. Li, Zheng-Zheng & Su, Chi-Wei & Chang, Tsangyao & Lobonţ, Oana-Ramona, 2022. "Policy-driven or market-driven? Evidence from steam coal price bubbles in China," Resources Policy, Elsevier, vol. 78(C).
    19. He, Ruifang & Zhong, Meirui & Huang, Jianbai, 2021. "Technological progress and metal resource consumption in the electricity industry—A cross-country panel threshold data analysis," Energy, Elsevier, vol. 231(C).
    20. Wang, Chunhui & Zhong, Weiqiong & Wang, Anjian & Sun, Xiaoqi & Li, Tianjiao & Wang, Xingxing, 2021. "Mapping the evolution of international antimony ores trade pattern based on complex network," Resources Policy, Elsevier, vol. 74(C).
    21. Richard Baldwin & Javier Lopez-Gonzalez, 2015. "Supply-chain Trade: A Portrait of Global Patterns and Several Testable Hypotheses," The World Economy, Wiley Blackwell, vol. 38(11), pages 1682-1721, November.
    22. Jozef Baruník & Tomáš Křehlík, 2018. "Measuring the Frequency Dynamics of Financial Connectedness and Systemic Risk," Journal of Financial Econometrics, Oxford University Press, vol. 16(2), pages 271-296.
    23. Cheng, Sheng & Zhang, Zongyou & Cao, Yan, 2022. "Can precious metals hedge geopolitical risk? Fresh sight using wavelet coherence analysis," Resources Policy, Elsevier, vol. 79(C).
    24. Jain, Anshul & Ghosh, Sajal, 2013. "Dynamics of global oil prices, exchange rate and precious metal prices in India," Resources Policy, Elsevier, vol. 38(1), pages 88-93.
    25. Padhan, Rakesh & Prabheesh, K.P., 2021. "The economics of COVID-19 pandemic: A survey," Economic Analysis and Policy, Elsevier, vol. 70(C), pages 220-237.
    26. Bilgin, Mehmet Huseyin & Gogolin, Fabian & Lau, Marco Chi Keung & Vigne, Samuel A., 2018. "Time-variation in the relationship between white precious metals and inflation: A cross-country analysis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 56(C), pages 55-70.
    27. Mulvaney, Dustin & Richards, Ryan M. & Bazilian, Morgan D. & Hensley, Erin & Clough, Greg & Sridhar, Seetharaman, 2021. "Progress towards a circular economy in materials to decarbonize electricity and mobility," Renewable and Sustainable Energy Reviews, Elsevier, vol. 137(C).
    28. James E. Anderson & Douglas Marcouiller, 2002. "Insecurity And The Pattern Of Trade: An Empirical Investigation," The Review of Economics and Statistics, MIT Press, vol. 84(2), pages 342-352, May.
    29. Zhou, Mei-Jing & Huang, Jian-Bai & Chen, Jin-Yu, 2020. "The effects of geopolitical risks on the stock dynamics of China's rare metals: A TVP-VAR analysis," Resources Policy, Elsevier, vol. 68(C).
    30. Ioannis Chatziantoniou & David Gabauer & Rangan Gupta, 2021. "Integration and Risk Transmission in the Market for Crude Oil: A Time-Varying Parameter Frequency Connectedness Approach," Working Papers 202147, University of Pretoria, Department of Economics.
    31. Diebold, Francis X. & Yilmaz, Kamil, 2012. "Better to give than to receive: Predictive directional measurement of volatility spillovers," International Journal of Forecasting, Elsevier, vol. 28(1), pages 57-66.
    32. Sven Renner & Friedrich W. Wellmer, 2020. "Volatility drivers on the metal market and exposure of producing countries," Mineral Economics, Springer;Raw Materials Group (RMG);Luleå University of Technology, vol. 33(3), pages 311-340, October.
    33. Ozgur, Onder & Yilanci, Veli & Ozbugday, Fatih Cemil, 2021. "Detecting speculative bubbles in metal prices: Evidence from GSADF test and machine learning approaches," Resources Policy, Elsevier, vol. 74(C).
    34. Grandell, Leena & Lehtilä, Antti & Kivinen, Mari & Koljonen, Tiina & Kihlman, Susanna & Lauri, Laura S., 2016. "Role of critical metals in the future markets of clean energy technologies," Renewable Energy, Elsevier, vol. 95(C), pages 53-62.
    35. Ding, Qian & Huang, Jianbai & Gao, Wang & Zhang, Hongwei, 2022. "Does political risk matter for gold market fluctuations? A structural VAR analysis," Research in International Business and Finance, Elsevier, vol. 60(C).
    36. Li, Jie & Lan, Liping & Ouyang, Zhigang, 2020. "Credit constraints, currency depreciation and international trade," Journal of International Money and Finance, Elsevier, vol. 104(C).
    37. Nikolaos Antonakakis & Ioannis Chatziantoniou & David Gabauer, 2020. "Refined Measures of Dynamic Connectedness based on Time-Varying Parameter Vector Autoregressions," JRFM, MDPI, vol. 13(4), pages 1-23, April.
    38. Zheng, Yafei & Shao, Yanmin & Wang, Shouyang, 2017. "The determinants of Chinese nonferrous metals imports and exports," Resources Policy, Elsevier, vol. 53(C), pages 238-246.
    39. Kang, Sang Hoon & McIver, Ron & Yoon, Seong-Min, 2017. "Dynamic spillover effects among crude oil, precious metal, and agricultural commodity futures markets," Energy Economics, Elsevier, vol. 62(C), pages 19-32.
    40. Silviu Nate & Yuriy Bilan & Mariia Kurylo & Olena Lyashenko & Piotr Napieralski & Ganna Kharlamova, 2021. "Mineral Policy within the Framework of Limited Critical Resources and a Green Energy Transition," Energies, MDPI, vol. 14(9), pages 1-32, May.
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