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The time-frequency connectedness among metal, energy and carbon markets pre and during COVID-19 outbreak

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  1. Qiao, Sen & Guo, Zi Xin & Tao, Zhang & Ren, Zheng Yu, 2023. "Analyzing the network structure of risk transmission among renewable, non-renewable energy and carbon markets," Renewable Energy, Elsevier, vol. 209(C), pages 206-217.
  2. 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.
  3. Ghosh, Bikramaditya & Pham, Linh & Teplova, Tamara & Umar, Zaghum, 2023. "COVID-19 and the quantile connectedness between energy and metal markets," Energy Economics, Elsevier, vol. 117(C).
  4. Zolfaghari, Mehdi, 2023. "How does US tariff policy affect the relationship among crude oil, the US dollar and metal markets?," Resources Policy, Elsevier, vol. 85(PB).
  5. Zheng, Jinlin & Wen, Baoyu & Jiang, Yaohui & Wang, Xiaohan & Shen, Yue, 2023. "Risk spillovers across geopolitical risk and global financial markets," Energy Economics, Elsevier, vol. 127(PA).
  6. Kočenda, Evžen & Moravcová, Michala, 2024. "Frequency volatility connectedness and portfolio hedging of U.S. energy commodities," Research in International Business and Finance, Elsevier, vol. 69(C).
  7. Younis, Ijaz & Shah, Waheed Ullah & Yousaf, Imran, 2023. "Static and dynamic linkages between oil, gold and global equity markets in various crisis episodes: Evidence from the Wavelet TVP-VAR," Resources Policy, Elsevier, vol. 80(C).
  8. Pakrooh, Parisa & Manera, Matteo, 2024. "Causality, Connectedness, and Volatility pass-through among Energy-Metal-Stock-Carbon Markets: New Evidence from the EU," Resources Policy, Elsevier, vol. 99(C).
  9. Ali, Shoaib & Naveed, Muhammad & Al-Nassar, Nassar S. & Mirza, Nawazish, 2024. "Mineral Metamorphosis: Tracing the static and dynamic nexus between minerals and global south markets," Resources Policy, Elsevier, vol. 96(C).
  10. Muhammad Tahir Suleman & Umaid A Sheikh & Emilios C. Galariotis & David Roubaud, 2025. "The impact of bitcoin fear and greed on good and bad network connectedness: the case of the US sectoral high frequency returns," Annals of Operations Research, Springer, vol. 347(1), pages 633-677, April.
  11. Chen, Jinyu & Liang, Zhipeng & Ding, Qian & Liu, Zhenhua, 2022. "Quantile connectedness between energy, metal, and carbon markets," International Review of Financial Analysis, Elsevier, vol. 83(C).
  12. Yan, Wan-Lin & Cheung, Adrian (Wai Kong), 2024. "Connectedness among Chinese climate policy uncertainty, exchange rate, Chinese and international crude oil markets: Insights from time and frequency domain analyses of high order moments," The North American Journal of Economics and Finance, Elsevier, vol. 73(C).
  13. Yu, Hui & Li, Huiru, 2025. "Interactions among correlations: How does the volatility of the carbon-energy price correlations transmit across different time scales?," Energy, Elsevier, vol. 320(C).
  14. Qiao, Sen & Dang, Yi Jing & Ren, Zheng Yu & Zhang, Kai Quan, 2023. "The dynamic spillovers among carbon, fossil energy and electricity markets based on a TVP-VAR-SV method," Energy, Elsevier, vol. 266(C).
  15. Yousaf, Imran & Ohikhuare, Obaika M. & Li, Yong & Li, Yanshuang, 2024. "Interconnectedness between electricity and artificial intelligence-based markets during the crisis periods: Evidence from the TVP-VAR approach," Energy Economics, Elsevier, vol. 139(C).
  16. Sun, Luxi & Wang, Zhili & Kong, Shuning & Xia, Xiaohua, 2024. "Correlation and spillover effects between the carbon market and China's stock market: Evidence from wavelet and quantile coherency network analysis," International Review of Economics & Finance, Elsevier, vol. 93(PA), pages 1175-1196.
  17. Dai, Xingyu & Li, Matthew C. & Xiao, Ling & Wang, Qunwei, 2022. "COVID-19 and China commodity price jump behavior: An information spillover and wavelet coherency analysis," Resources Policy, Elsevier, vol. 79(C).
  18. 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).
  19. Yuqin Zhou & Shan Wu & Zhenhua Liu & Lavinia Rognone, 2023. "The asymmetric effects of climate risk on higher-moment connectedness among carbon, energy and metals markets," Nature Communications, Nature, vol. 14(1), pages 1-16, December.
  20. Wu, You & Ren, Wenting & Wan, Jieru & Liu, Xiaoxue, 2023. "Time-frequency volatility connectedness between fossil energy and agricultural commodities: Comparing the COVID-19 pandemic with the Russia-Ukraine conflict," Finance Research Letters, Elsevier, vol. 55(PA).
  21. Zhao, Lu-Tao & Liu, Hai-Yi & Chen, Xue-Hui, 2024. "How does carbon market interact with energy and sectoral stocks? Evidence from risk spillover and wavelet coherence," Journal of Commodity Markets, Elsevier, vol. 33(C).
  22. Jiang, Wei & Chen, Yunfei, 2024. "Impact of Russia-Ukraine conflict on the time-frequency and quantile connectedness between energy, metal and agricultural markets," Resources Policy, Elsevier, vol. 88(C).
  23. Si Mohammed, Kamel & Khalfaoui, Rabeh & Doğan, Buhari & Sharma, Gagan Deep & Mentel, Urszula, 2023. "The reaction of the metal and gold resource planning in the post-COVID-19 era and Russia-Ukrainian conflict: Role of fossil fuel markets for portfolio hedging strategies," Resources Policy, Elsevier, vol. 83(C).
  24. Wang, Yong & Liu, Shimiao & Abedin, Mohammad Zoynul & Lucey, Brian, 2024. "Volatility spillover and hedging strategies among Chinese carbon, energy, and electricity markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 91(C).
  25. Restrepo, Natalia & Ceballos, Juan Camilo & Uribe, Jorge M., 2023. "Risk spillovers of critical metals firms," Resources Policy, Elsevier, vol. 86(PB).
  26. Xu, Changxin & Chen, Zixu & Zhu, Wenjun & Zhi, Jiaqi & Yu, Yue & Shi, Changfeng, 2025. "Time-frequency spillover and early warning of climate risk in international energy markets and carbon markets: From the perspective of complex network and machine learning," Energy, Elsevier, vol. 318(C).
  27. Lin, Boqiang & Zhang, Zongyou, 2025. "Extreme spillovers among green finance, energy, and energy metals markets in China: Evidence under the dilemma of energy transition," Renewable Energy, Elsevier, vol. 241(C).
  28. Lu, Xunfa & He, Pengchao & Zhang, Zhengjun & Apergis, Nicholas, 2024. "Extreme co-movements between CO2 emission allowances and commodity markets and their response to economic policy uncertainty," Energy Economics, Elsevier, vol. 138(C).
  29. 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).
  30. Abdulrazak Nur Mohamed & Idiris Sid Ali Mohamed, 2023. "Precious Metals and Oil Price Dynamics," International Journal of Energy Economics and Policy, Econjournals, vol. 13(6), pages 119-128, November.
  31. Wei, Yu & Zhang, Jiahao & Bai, Lan & Wang, Yizhi, 2023. "Connectedness among El Niño-Southern Oscillation, carbon emission allowance, crude oil and renewable energy stock markets: Time- and frequency-domain evidence based on TVP-VAR model," Renewable Energy, Elsevier, vol. 202(C), pages 289-309.
  32. Xing, Xiaoyun & Chen, Ying & Wang, Xiuya & Li, Boyao & Deng, Jing, 2023. "The impact of national carbon market establishment on risk transmission among carbon and energy markets in China: A systemic importance analysis," Finance Research Letters, Elsevier, vol. 57(C).
  33. Wang, Jue & Zhou, Yuqin & Wu, Shan, 2025. "Quantile time-frequency connectedness and portfolio diversification: A study of clean energy and metal markets," Renewable Energy, Elsevier, vol. 238(C).
  34. Wu, Hao & Huang, Yuan, 2025. "Identifying risk transmission in carbon, energy and metal markets: Evidence from a novel quantile frequency connectedness approach," The North American Journal of Economics and Finance, Elsevier, vol. 76(C).
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