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Impact of oil prices on key energy mineral prices: Fresh evidence from quantile and wavelet approaches

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  • Jiang, Zhuhua
  • Dong, Xiyong
  • Yoon, Seong-Min

Abstract

The intricate relationship between the prices of oil and key energy minerals is vital for understanding the dynamics of energy markets and guiding future energy-related policies. In this study, we examine the influence of oil prices on key clean energy mineral prices by employing quantile and wavelet approaches. The main empirical results are as follows. First, the quantile cointegration test reveals a long-term equilibrium between oil and energy mineral prices, indicating that oil price changes influence these prices over time. Second, the quantile causality test shows that oil price changes significantly affect key energy mineral prices, particularly in tranquil markets. However, under the extreme conditions of energy mineral markets, this influence is generally insignificant, except for cobalt and manganese. Third, oil prices show stronger long-term positive correlations with most energy minerals, except cobalt, lithium, manganese, and rare earth elements, whose prices are shaped by renewable energy transitions, inefficiencies, and reliance on long-term contracts. Policymakers, investors, and companies can use these insights for risk management and strategic planning of clean/renewable energy projects.

Suggested Citation

  • Jiang, Zhuhua & Dong, Xiyong & Yoon, Seong-Min, 2025. "Impact of oil prices on key energy mineral prices: Fresh evidence from quantile and wavelet approaches," Energy Economics, Elsevier, vol. 145(C).
    • Handle: RePEc:eee:eneeco:v:145:y:2025:i:c:s0140988325002853
    DOI: 10.1016/j.eneco.2025.108461
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    1. Hanif, Waqas & Arreola Hernandez, Jose & Mensi, Walid & Kang, Sang Hoon & Uddin, Gazi Salah & Yoon, Seong-Min, 2021. "Nonlinear dependence and connectedness between clean/renewable energy sector equity and European emission allowance prices," Energy Economics, Elsevier, vol. 101(C).
    2. Albulescu, Claudiu Tiberiu & Tiwari, Aviral Kumar & Ji, Qiang, 2020. "Copula-based local dependence among energy, agriculture and metal commodities markets," Energy, Elsevier, vol. 202(C).
    3. Wei, Ping & Qi, Yinshu & Ren, Xiaohang & Gozgor, Giray, 2023. "The role of the COVID-19 pandemic in time-frequency connectedness between oil market shocks and green bond markets: Evidence from the wavelet-based quantile approaches," Energy Economics, Elsevier, vol. 121(C).
    4. Shahriyar Mukhtarov & Jeyhun I. Mikayilov & Sugra Humbatova & Vugar Muradov, 2020. "Do High Oil Prices Obstruct the Transition to Renewable Energy Consumption?," Sustainability, MDPI, vol. 12(11), pages 1-16, June.
    5. Cunado, J. & Perez de Gracia, F., 2005. "Oil prices, economic activity and inflation: evidence for some Asian countries," The Quarterly Review of Economics and Finance, Elsevier, vol. 45(1), pages 65-83, February.
    6. Melichar, Mark, 2016. "Energy price shocks and economic activity: Which energy price series should we be using?," Energy Economics, Elsevier, vol. 54(C), pages 431-443.
    7. Yoon, Seong-Min, 2022. "On the interdependence between biofuel, fossil fuel and agricultural food prices: Evidence from quantile tests," Renewable Energy, Elsevier, vol. 199(C), pages 536-545.
    8. Tambari, Ishaya & Failler, Pierre & Jaffry, Shabbar, 2024. "Understanding the Interplay: Oil price and renewable energy investment in Africa's net oil importing and net oil exporting countries," Resources Policy, Elsevier, vol. 91(C).
    9. James D. Hamilton, 2009. "Causes and Consequences of the Oil Shock of 2007-08," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 40(1 (Spring), pages 215-283.
    10. Khalfaoui, Rabeh & Tiwari, Aviral Kumar & Kablan, Sandrine & Hammoudeh, Shawkat, 2021. "Interdependence and lead-lag relationships between the oil price and metal markets: Fresh insights from the wavelet and quantile coherency approaches," Energy Economics, Elsevier, vol. 101(C).
    11. Behmiri, Niaz Bashiri & Manera, Matteo, 2015. "The role of outliers and oil price shocks on volatility of metal prices," Resources Policy, Elsevier, vol. 46(P2), pages 139-150.
    12. Valero, Alicia & Valero, Antonio & Calvo, Guiomar & Ortego, Abel, 2018. "Material bottlenecks in the future development of green technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 93(C), pages 178-200.
    13. Considine, Jennifer & Galkin, Phillip & Hatipoglu, Emre & Aldayel, Abdullah, 2023. "The effects of a shock to critical minerals prices on the world oil price and inflation," Energy Economics, Elsevier, vol. 127(PB).
    14. Zhang, Tianding & Zeng, Song, 2023. "Dynamic comovement and extreme risk spillovers between international crude oil and China's non-ferrous metal futures market," Resources Policy, Elsevier, vol. 80(C).
    15. Johnson A. Oliyide & Oluwasegun B. Adekoya & Muhammad A. Khan, 2021. "Economic policy uncertainty and the volatility connectedness between oil shocks and metal market: An extension," International Economics, CEPII research center, issue 167, pages 136-150.
    16. Zheng, Biao & Zhang, Yuquan & Chen, Yufeng, 2021. "Asymmetric connectedness and dynamic spillovers between renewable energy and rare earth markets in China: Evidence from firms’ high-frequency data," Resources Policy, Elsevier, vol. 71(C).
    17. Kwiatkowski, Denis & Phillips, Peter C. B. & Schmidt, Peter & Shin, Yongcheol, 1992. "Testing the null hypothesis of stationarity against the alternative of a unit root : How sure are we that economic time series have a unit root?," Journal of Econometrics, Elsevier, vol. 54(1-3), pages 159-178.
    18. Moss, R.L. & Tzimas, E. & Kara, H. & Willis, P. & Kooroshy, J., 2013. "The potential risks from metals bottlenecks to the deployment of Strategic Energy Technologies," Energy Policy, Elsevier, vol. 55(C), pages 556-564.
    19. Calderon, J.L. & Smith, N.M. & Bazilian, M.D. & Holley, E., 2024. "Critical mineral demand estimates for low-carbon technologies: What do they tell us and how can they evolve?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PA).
    20. Kumar, Anoop S & Padakandla, Steven Raj, 2022. "Testing the safe-haven properties of gold and bitcoin in the backdrop of COVID-19: A wavelet quantile correlation approach," Finance Research Letters, Elsevier, vol. 47(PB).
    21. Benjamin Hunt, 2006. "Oil Price Shocks and the U.S. Stagflation of the 1970s: Some Insights from GEM," The Energy Journal, , vol. 27(4), pages 61-80, October.
    22. József Popp & Judit Oláh & Mária Farkas Fekete & Zoltán Lakner & Domicián Máté, 2018. "The Relationship Between Prices of Various Metals, Oil and Scarcity," Energies, MDPI, vol. 11(9), pages 1-19, September.
    23. Niu, Hongli & Zhang, Shasha, 2024. "Asymmetric effects of commodity and stock market on Chinese green market: Evidence from wavelet-based quantile-on-quantile approach," Renewable Energy, Elsevier, vol. 230(C).
    24. Mensi, Walid & Rehman, Mobeen Ur & Vo, Xuan Vinh, 2021. "Risk spillovers and diversification between oil and non-ferrous metals during bear and bull market states," Resources Policy, Elsevier, vol. 72(C).
    25. Zhang, Hongwei & Zhang, Yubo & Gao, Wang & Li, Yingli, 2023. "Extreme quantile spillovers and drivers among clean energy, electricity and energy metals markets," International Review of Financial Analysis, Elsevier, vol. 86(C).
    26. Baffes, John, 2007. "Oil spills on other commodities," Resources Policy, Elsevier, vol. 32(3), pages 126-134, September.
    27. Deeney, Peter & Cummins, Mark & Dowling, Michael & Bermingham, Adam, 2015. "Sentiment in oil markets," International Review of Financial Analysis, Elsevier, vol. 39(C), pages 179-185.
    28. Managi, Shunsuke & Okimoto, Tatsuyoshi, 2013. "Does the price of oil interact with clean energy prices in the stock market?," Japan and the World Economy, Elsevier, vol. 27(C), pages 1-9.
    29. Cifarelli, Giulio & Paladino, Giovanna, 2010. "Oil price dynamics and speculation: A multivariate financial approach," Energy Economics, Elsevier, vol. 32(2), pages 363-372, March.
    30. Ding Wu & Zhenqing Luo & Tidong Zhang & Lu Tang & Mahmood Ahmad & Xiaoyun Fang, 2023. "The Linkage between Carbon Market and Green Bond Market: Evidence from Quantile Regression Based on Wavelet Analysis," Sustainability, MDPI, vol. 15(13), pages 1-17, July.
    31. Balcilar, Mehmet & Gungor, Hasan & Hammoudeh, Shawkat, 2015. "The time-varying causality between spot and futures crude oil prices: A regime switching approach," International Review of Economics & Finance, Elsevier, vol. 40(C), pages 51-71.
    32. Kang Hao & Inder, Brett, 1996. "Diagnostic test for structural change in cointegrated regression models," Economics Letters, Elsevier, vol. 50(2), pages 179-187, February.
    33. Troster, Victor & Shahbaz, Muhammad & Uddin, Gazi Salah, 2018. "Renewable energy, oil prices, and economic activity: A Granger-causality in quantiles analysis," Energy Economics, Elsevier, vol. 70(C), pages 440-452.
    34. Su, Chi-Wei & Khan, Khalid & Tao, Ran & Umar, Muhammad, 2020. "A review of resource curse burden on inflation in Venezuela," Energy, Elsevier, vol. 204(C).
    35. Sadorsky, Perry, 2009. "Renewable energy consumption, CO2 emissions and oil prices in the G7 countries," Energy Economics, Elsevier, vol. 31(3), pages 456-462, May.
    36. repec:aen:journl:2006v27-04-a03 is not listed on IDEAS
    37. Christou, Christina & Gupta, Rangan & Nyakabawo, Wendy & Wohar, Mark E., 2018. "Do house prices hedge inflation in the US? A quantile cointegration approach," International Review of Economics & Finance, Elsevier, vol. 54(C), pages 15-26.
    38. Liu, Feng & Zhang, Chuanguo & Tang, Mengying, 2021. "The impacts of oil price shocks and jumps on China's nonferrous metal markets," Resources Policy, Elsevier, vol. 73(C).
    39. Mukhtarov, Shahriyar & Mikayilov, Jeyhun I. & Maharramov, Shahin & Aliyev, Javid & Suleymanov, Elchin, 2022. "Higher oil prices, are they good or bad for renewable energy consumption: The case of Iran?," Renewable Energy, Elsevier, vol. 186(C), pages 411-419.
    40. Dong, Xiyong & Jiang, Zhuhua & Yoon, Seong-Min, 2024. "Impact of global financial and energy markets, uncertainty, and climate change attention on Bitcoin carbon footprint," Finance Research Letters, Elsevier, vol. 70(C).
    41. Zhang, Chuanguo & Tu, Xiaohua, 2016. "The effect of global oil price shocks on China's metal markets," Energy Policy, Elsevier, vol. 90(C), pages 131-139.
    42. Kliber, Agata & Łęt, Blanka & Řezáč, Pavel, 2024. "Can a boost in oil prices suspend the evolution of the green transportation market? Relationships between green indices and Brent oil," Energy, Elsevier, vol. 295(C).
    43. Claudiu Albulescu & Aviral Tiwari & Qiang Ji, 2020. "Copula-based local dependence between energy, agriculture and metal commodity markets," Papers 2003.04007, arXiv.org.
    44. Hooker, Mark A, 2002. "Are Oil Shocks Inflationary? Asymmetric and Nonlinear Specifications versus Changes in Regime," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 34(2), pages 540-561, May.
    45. Rua, António & Nunes, Luís C., 2009. "International comovement of stock market returns: A wavelet analysis," Journal of Empirical Finance, Elsevier, vol. 16(4), pages 632-639, September.
    46. Ramsey, J.B., 2002. "Wavelets in Economics and Finance: Past and Future," Working Papers 02-02, C.V. Starr Center for Applied Economics, New York University.
    47. Lukas Boer & Andrea Pescatori & Martin Stuermer, 2021. "Energy Transition Metals," Discussion Papers of DIW Berlin 1976, DIW Berlin, German Institute for Economic Research.
    48. Yang, Cai & Gong, Xu & Zhang, Hongwei, 2019. "Volatility forecasting of crude oil futures: The role of investor sentiment and leverage effect," Resources Policy, Elsevier, vol. 61(C), pages 548-563.
    49. Diebold, Francis X. & Yılmaz, Kamil, 2014. "On the network topology of variance decompositions: Measuring the connectedness of financial firms," Journal of Econometrics, Elsevier, vol. 182(1), pages 119-134.
    50. Ratti, Ronald A & Vespignani, Joaquin L., 2012. "Why are crude oil prices high when global activity is weak?," MPRA Paper 43777, University Library of Munich, Germany.
    51. Alola, Andrew Adewale & Özkan, Oktay & Usman, Ojonugwa, 2023. "Examining crude oil price outlook amidst substitute energy price and household energy expenditure in the USA: A novel nonparametric multivariate QQR approach," Energy Economics, Elsevier, vol. 120(C).
    52. Abdulnasser Hatemi-J, 2012. "Asymmetric causality tests with an application," Empirical Economics, Springer, vol. 43(1), pages 447-456, August.
    53. Qiao, Sen & Chang, Yuan & Mai, Xi Xi & Dang, Yi Jing, 2024. "Climate policy uncertainty, clean energy and energy metals: A quantile time-frequency spillover study," Energy Economics, Elsevier, vol. 139(C).
    54. Wang, Lu & Ruan, Hang & Hong, Yanran & Luo, Keyu, 2023. "Detecting the hidden asymmetric relationship between crude oil and the US dollar: A novel neural Granger causality method," Research in International Business and Finance, Elsevier, vol. 64(C).
    55. Dutta, Anupam & Dutta, Probal, 2022. "Geopolitical risk and renewable energy asset prices: Implications for sustainable development," Renewable Energy, Elsevier, vol. 196(C), pages 518-525.
    56. Ding Du & Ronald J Gunderson & Xiaobing Zhao, 2016. "Investor sentiment and oil prices," Journal of Asset Management, Palgrave Macmillan, vol. 17(2), pages 73-88, March.
    57. Cologni, Alessandro & Manera, Matteo, 2008. "Oil prices, inflation and interest rates in a structural cointegrated VAR model for the G-7 countries," Energy Economics, Elsevier, vol. 30(3), pages 856-888, May.
    58. Ding Du & Xiaobing Zhao, 2017. "Financial investor sentiment and the boom/bust in oil prices during 2003–2008," Review of Quantitative Finance and Accounting, Springer, vol. 48(2), pages 331-361, February.
    59. Umar, Zaghum & Nasreen, Samia & Solarin, Sakiru Adebola & Tiwari, Aviral Kumar, 2019. "Exploring the time and frequency domain connectedness of oil prices and metal prices," Resources Policy, Elsevier, vol. 64(C).
    60. Xiao, Zhijie & Phillips, Peter C. B., 2002. "A CUSUM test for cointegration using regression residuals," Journal of Econometrics, Elsevier, vol. 108(1), pages 43-61, May.
    61. Dong, Minyi & Chang, Chun-Ping & Gong, Qiang & Chu, Yin, 2019. "Revisiting global economic activity and crude oil prices: A wavelet analysis," Economic Modelling, Elsevier, vol. 78(C), pages 134-149.
    62. Shao, Liuguo & Zhang, Hua, 2020. "The impact of oil price on the clean energy metal prices: A multi-scale perspective," Resources Policy, Elsevier, vol. 68(C).
    63. 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.
    64. 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.
    65. 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.
    66. Su, Chi-Wei & Khan, Khalid & Umar, Muhammad & Zhang, Weike, 2021. "Does renewable energy redefine geopolitical risks?," Energy Policy, Elsevier, vol. 158(C).
    67. Rehman, Mobeen Ur & Vo, Xuan Vinh, 2021. "Energy commodities, precious metals and industrial metal markets: A nexus across different investment horizons and market conditions," Resources Policy, Elsevier, vol. 70(C).
    68. Umar, Zaghum & Jareño, Francisco & Escribano, Ana, 2021. "Oil price shocks and the return and volatility spillover between industrial and precious metals," Energy Economics, Elsevier, vol. 99(C).
    69. Ke Tang & Wei Xiong, 2012. "Index Investment and the Financialization of Commodities," Financial Analysts Journal, Taylor & Francis Journals, vol. 68(6), pages 54-74, November.
    70. Sadorsky, Perry, 2012. "Correlations and volatility spillovers between oil prices and the stock prices of clean energy and technology companies," Energy Economics, Elsevier, vol. 34(1), pages 248-255.
    71. Ratti, Ronald A. & Vespignani, Joaquin L., 2013. "Why are crude oil prices high when global activity is weak?," Economics Letters, Elsevier, vol. 121(1), pages 133-136.
    72. Ratti, Ronald A. & Vespignani, Joaquin L., 2016. "Oil prices and global factor macroeconomic variables," Energy Economics, Elsevier, vol. 59(C), pages 198-212.
    73. 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.
    74. Hanif, Waqas & Mensi, Walid & Gubareva, Mariya & Teplova, Tamara, 2023. "Impacts of COVID-19 on dynamic return and volatility spillovers between rare earth metals and renewable energy stock markets," Resources Policy, Elsevier, vol. 80(C).
    75. Juncal Cunado & David Gabauer & Rangan Gupta, 2024. "Realized volatility spillovers between energy and metal markets: a time-varying connectedness approach," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-17, December.
    76. Si Mohammed, K. & Mellit, A., 2023. "The relationship between oil prices and the indices of renewable energy and technology companies based on QQR and GCQ techniques," Renewable Energy, Elsevier, vol. 209(C), pages 97-105.
    77. 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.
    78. Lutz Kilian, 2008. "The Economic Effects of Energy Price Shocks," Journal of Economic Literature, American Economic Association, vol. 46(4), pages 871-909, December.
    79. Su, Chi Wei & Shao, Xuefeng & Jia, Zhijie & Nepal, Rabindra & Umar, Muhammad & Qin, Meng, 2023. "The rise of green energy metal: Could lithium threaten the status of oil?," Energy Economics, Elsevier, vol. 121(C).
    80. Balashova, Svetlana & Serletis, Apostolos, 2020. "Oil prices shocks and the Russian economy," The Journal of Economic Asymmetries, Elsevier, vol. 21(C).
    81. Chen, Ying & Zhu, Xuehong & Li, Hailing, 2022. "The asymmetric effects of oil price shocks and uncertainty on non-ferrous metal market: Based on quantile regression," Energy, Elsevier, vol. 246(C).
    82. Jeong, Kiho & Härdle, Wolfgang K. & Song, Song, 2012. "A Consistent Nonparametric Test For Causality In Quantile," Econometric Theory, Cambridge University Press, vol. 28(4), pages 861-887, August.
    83. Nasreen, Samia & Tiwari, Aviral Kumar & Goodell, John W. & Tedeschi, Marco, 2024. "Asymmetric and frequency-domain spillover effects among industrial metals, precious metals, and energy futures markets," International Review of Economics & Finance, Elsevier, vol. 93(PA), pages 1556-1592.
    84. Doroodian, K. & Boyd, Roy, 2003. "The linkage between oil price shocks and economic growth with inflation in the presence of technological advances: a CGE model," Energy Policy, Elsevier, vol. 31(10), pages 989-1006, August.
    85. Hanif, Waqas & Areola Hernandez, Jose & Shahzad, Syed Jawad Hussain & Yoon, Seong-Min, 2021. "Tail dependence risk and spillovers between oil and food prices," The Quarterly Review of Economics and Finance, Elsevier, vol. 80(C), pages 195-209.
    86. Dutta, Anupam, 2018. "Impacts of oil volatility shocks on metal markets: A research note," Resources Policy, Elsevier, vol. 55(C), pages 9-19.
    87. Jawadi, Fredj & Bourghelle, David & Rozin, Philippe & Cheffou, Abdoulkarim Idi & Uddin, Gazi Salah, 2024. "Sentiment and energy price volatility: A nonlinear high frequency analysis," Energy Economics, Elsevier, vol. 133(C).
    88. Ren, Zhijun & Li, Huajie & Yan, Wenyi & Lv, Weiguang & Zhang, Guangming & Lv, Longyi & Sun, Li & Sun, Zhi & Gao, Wenfang, 2023. "Comprehensive evaluation on production and recycling of lithium-ion batteries: A critical review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 185(C).
    89. Victor Troster, 2018. "Testing for Granger-causality in quantiles," Econometric Reviews, Taylor & Francis Journals, vol. 37(8), pages 850-866, September.
    90. Daryoosh Borzuei & Seyed Farhan Moosavian & Abolfazl Ahmadi, 2022. "Investigating the dependence of energy prices and economic growth rates with emphasis on the development of renewable energy for sustainable development in Iran," Sustainable Development, John Wiley & Sons, Ltd., vol. 30(5), pages 848-854, October.
    91. Akindele John Ogunsola & Christian Kakese Tipoy, 2022. "Determinants of energy consumption: The case of African oil exporting countries," Cogent Economics & Finance, Taylor & Francis Journals, vol. 10(1), pages 2058157-205, December.
    92. Zivot, Eric & Andrews, Donald W K, 2002. "Further Evidence on the Great Crash, the Oil-Price Shock, and the Unit-Root Hypothesis," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 25-44, January.
    93. Amano, R. A. & van Norden, S., 1998. "Oil prices and the rise and fall of the US real exchange rate," Journal of International Money and Finance, Elsevier, vol. 17(2), pages 299-316, April.
    94. Ramsey James B., 2002. "Wavelets in Economics and Finance: Past and Future," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 6(3), pages 1-29, November.
    95. Sadorsky, Perry, 2000. "The empirical relationship between energy futures prices and exchange rates," Energy Economics, Elsevier, vol. 22(2), pages 253-266, April.
    96. Reboredo, Juan C. & Ugolini, Andrea, 2016. "The impact of downward/upward oil price movements on metal prices," Resources Policy, Elsevier, vol. 49(C), pages 129-141.
    97. Wang, Lu & Guan, Li & Ding, Qian & Zhang, Hongwei, 2023. "Asymmetric impact of COVID-19 news on the connectedness of the green energy, dirty energy, and non-ferrous metal markets," Energy Economics, Elsevier, vol. 126(C).
    98. Ishaya Jonah Tegina Tambari & Pierre Failler & Shabbar Jaffry, 2023. "The Differential Effects of Oil Prices on the Development of Renewable Energy in Oil-Importing and Oil-Exporting Countries in Africa," Energies, MDPI, vol. 16(9), pages 1-20, April.
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    19. Farid, Saqib & Naeem, Muhammad Abubakr & Paltrinieri, Andrea & Nepal, Rabindra, 2022. "Impact of COVID-19 on the quantile connectedness between energy, metals and agriculture commodities," Energy Economics, Elsevier, vol. 109(C).
    20. Gong, Xu & Xu, Jun & Liu, Tangyong & Zhou, Zicheng, 2022. "Dynamic volatility connectedness between industrial metal markets," The North American Journal of Economics and Finance, Elsevier, vol. 63(C).

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    Keywords

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    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources

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