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Climate risks and the connectedness between clean and dirty energy markets

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  • Huang, Jingyan
  • Liu, Zhenhua
  • Guo, Kun

Abstract

Climate risks pose significant challenges and threats to complex energy market system. This paper illuminates the interactions between clean and dirty energy markets and further investigates their asymmetric responses to climate risks. The influence of climate risks extends beyond extreme values and has a substantial impact on the overall distribution of the connectedness between clean and dirty energy markets. As the physical risk intensifies, the connectedness within both clean and dirty energy markets increases. The abnormal transition risk will render energy market fluctuations more uncertain and accentuate the distinction between clean and dirty energy markets.

Suggested Citation

  • Huang, Jingyan & Liu, Zhenhua & Guo, Kun, 2025. "Climate risks and the connectedness between clean and dirty energy markets," Finance Research Letters, Elsevier, vol. 74(C).
    • Handle: RePEc:eee:finlet:v:74:y:2025:i:c:s1544612325000649
    DOI: 10.1016/j.frl.2025.106799
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    1. Ding, Qian & Huang, Jianbai & Zhang, Hongwei, 2022. "Time-frequency spillovers among carbon, fossil energy and clean energy markets: The effects of attention to climate change," International Review of Financial Analysis, Elsevier, vol. 83(C).
    2. Farid, Saqib & Karim, Sitara & Naeem, Muhammad A. & Nepal, Rabindra & Jamasb, Tooraj, 2023. "Co-movement between dirty and clean energy: A time-frequency perspective," Energy Economics, Elsevier, vol. 119(C).
    3. 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.
    4. Ma, Dandan & Zhang, Dayong & Guo, Kun & Ji, Qiang, 2024. "Coupling between global climate policy uncertainty and economic policy uncertainty," Finance Research Letters, Elsevier, vol. 69(PB).
    5. Khalfaoui, Rabeh & Mefteh-Wali, Salma & Viviani, Jean-Laurent & Ben Jabeur, Sami & Abedin, Mohammad Zoynul & Lucey, Brian M., 2022. "How do climate risk and clean energy spillovers, and uncertainty affect U.S. stock markets?," Technological Forecasting and Social Change, Elsevier, vol. 185(C).
    6. Mauro Aliano & Giuseppe Galloppo & Viktoriia Paimanova, 2023. "People and investor attention to climate change," The European Journal of Finance, Taylor & Francis Journals, vol. 29(18), pages 2107-2127, December.
    7. Umar, Muhammad & Farid, Saqib & Naeem, Muhammad Abubakr, 2022. "Time-frequency connectedness among clean-energy stocks and fossil fuel markets: Comparison between financial, oil and pandemic crisis," Energy, Elsevier, vol. 240(C).
    8. Corbet, Shaen & Goodell, John W. & Günay, Samet, 2020. "Co-movements and spillovers of oil and renewable firms under extreme conditions: New evidence from negative WTI prices during COVID-19," Energy Economics, Elsevier, vol. 92(C).
    9. Sim, Nicholas & Zhou, Hongtao, 2015. "Oil prices, US stock return, and the dependence between their quantiles," Journal of Banking & Finance, Elsevier, vol. 55(C), pages 1-8.
    10. Chen, Xia & Fu, Qiang & Chang, Chun-Ping, 2021. "What are the shocks of climate change on clean energy investment: A diversified exploration," Energy Economics, Elsevier, vol. 95(C).
    11. Swamy, Vighneswara & Dharani, M. & Takeda, Fumiko, 2019. "Investor attention and Google Search Volume Index: Evidence from an emerging market using quantile regression analysis," Research in International Business and Finance, Elsevier, vol. 50(C), pages 1-17.
    12. 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.
    13. Gong, Xu & Liao, Qin, 2024. "Physical climate risk attention and dynamic volatility connectedness among new energy stocks," Energy Economics, Elsevier, vol. 136(C).
    14. Cifuentes-Faura, Javier & Mohammed, Kamel Si & Alofaysan, Hind, 2024. "The connectedness and structural changes among green and conventional energy markets with CO2 emissions in the United States," Economic Analysis and Policy, Elsevier, vol. 83(C), pages 80-94.
    15. Matteo Foglia & Eliana Angelini, 2020. "Volatility Connectedness between Clean Energy Firms and Crude Oil in the COVID-19 Era," Sustainability, MDPI, vol. 12(23), pages 1-22, November.
    16. 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.
    17. Gabauer, David & Gupta, Rangan, 2018. "On the transmission mechanism of country-specific and international economic uncertainty spillovers: Evidence from a TVP-VAR connectedness decomposition approach," Economics Letters, Elsevier, vol. 171(C), pages 63-71.
    18. Lorente, Daniel Balsalobre & Mohammed, Kamel Si & Cifuentes-Faura, Javier & Shahzad, Umer, 2023. "Dynamic connectedness among climate change index, green financial assets and renewable energy markets: Novel evidence from sustainable development perspective," Renewable Energy, Elsevier, vol. 204(C), pages 94-105.
    19. Xun Zhang & Fengbin Lu & Rui Tao & Shouyang Wang, 2021. "The time-varying causal relationship between the Bitcoin market and internet attention," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-19, December.
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    More about this item

    Keywords

    Clean energy; Dirty energy; Connectedness; Climate risks;
    All these keywords.

    JEL classification:

    • P45 - Political Economy and Comparative Economic Systems - - Other Economic Systems - - - International Linkages
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

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