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Tail risk connectedness in the Carbon-Finance nexus: Evidence from a quantile spillover approach in China

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  • Gong, Zhenting
  • Chen, Yanbei
  • Zhang, He
  • Chen, Fan

Abstract

This research delves into the complex relationship between China’s carbon market and its associated financial counterparts. Utilizing the quantile connectedness approach, the study highlights the system’s susceptibility to external events, such as the COVID-19 pandemic and COP27. A notable discovery is the asymmetric tail dependence within the ’Carbon-Finance’ system, with a U-shaped interconnectedness pattern emphasizing the role of tail spillover. As these markets become increasingly interwoven, the findings underscore the importance for policymakers to consider both immediate and long-term implications, advocating for enhanced regulatory measures and international collaboration.

Suggested Citation

  • Gong, Zhenting & Chen, Yanbei & Zhang, He & Chen, Fan, 2024. "Tail risk connectedness in the Carbon-Finance nexus: Evidence from a quantile spillover approach in China," Finance Research Letters, Elsevier, vol. 67(PB).
    • Handle: RePEc:eee:finlet:v:67:y:2024:i:pb:s154461232400833x
    DOI: 10.1016/j.frl.2024.105803
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    as
    1. Chatziantoniou, Ioannis & Gabauer, David & Stenfors, Alexis, 2021. "Interest rate swaps and the transmission mechanism of monetary policy: A quantile connectedness approach," Economics Letters, Elsevier, vol. 204(C).
    2. 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).
    3. Elliott, Graham & Rothenberg, Thomas J & Stock, James H, 1996. "Efficient Tests for an Autoregressive Unit Root," Econometrica, Econometric Society, vol. 64(4), pages 813-836, July.
    4. Zhang, Chongchong & Lin, Boqiang, 2024. "Impact of introducing Chinese certified emission reduction scheme to the carbon market: Promoting renewable energy," Renewable Energy, Elsevier, vol. 222(C).
    5. Atsu, Francis & Adams, Samuel, 2021. "Energy consumption, finance, and climate change: Does policy uncertainty matter?," Economic Analysis and Policy, Elsevier, vol. 70(C), pages 490-501.
    6. Xiaohang Ren & Yue Dou & Kangyin Dong & Yiying Li, 2022. "Information spillover and market connectedness: multi-scale quantile-on-quantile analysis of the crude oil and carbon markets," Applied Economics, Taylor & Francis Journals, vol. 54(38), pages 4465-4485, August.
    7. Jarque, Carlos M. & Bera, Anil K., 1980. "Efficient tests for normality, homoscedasticity and serial independence of regression residuals," Economics Letters, Elsevier, vol. 6(3), pages 255-259.
    8. Yan Wu & Chunlai Chen & Cong Hu, 2023. "The impacts of trade intensity with China on carbon emissions in belt and road countries," Journal of the Asia Pacific Economy, Taylor & Francis Journals, vol. 28(2), pages 558-577, April.
    9. Lin, Boqiang & Chen, Yufang, 2019. "Dynamic linkages and spillover effects between CET market, coal market and stock market of new energy companies: A case of Beijing CET market in China," Energy, Elsevier, vol. 172(C), pages 1198-1210.
    10. Yan Wu & Chunlai Chen & Cong Hu, 2021. "Does the Belt and Road Initiative Increase the Carbon Emission Intensity of Participating Countries?," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 29(3), pages 1-25, May.
    11. Jiang, Wei & Dong, Lingfei & Liu, Xinyi, 2023. "How does COVID-19 affect the spillover effects of green finance, carbon markets, and renewable/non-renewable energy markets? Evidence from China," Energy, Elsevier, vol. 281(C).
    12. Gong, Xu & Shi, Rong & Xu, Jun & Lin, Boqiang, 2021. "Analyzing spillover effects between carbon and fossil energy markets from a time-varying perspective," Applied Energy, Elsevier, vol. 285(C).
    13. 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.
    14. Uddin, Gazi Salah & Hernandez, Jose Areola & Shahzad, Syed Jawad Hussain & Hedström, Axel, 2018. "Multivariate dependence and spillover effects across energy commodities and diversification potentials of carbon assets," Energy Economics, Elsevier, vol. 71(C), pages 35-46.
    15. Hou, Xiang & Hu, Qianlin & Liang, Xin & Xu, Jingxuan, 2023. "How do low-carbon city pilots affect carbon emissions? Staggered difference in difference evidence from Chinese firms," Economic Analysis and Policy, Elsevier, vol. 79(C), pages 664-686.
    16. Long, Shaobo & Tian, Hao & Li, Zixuan, 2022. "Dynamic spillovers between uncertainties and green bond markets in the US, Europe, and China: Evidence from the quantile VAR framework," International Review of Financial Analysis, Elsevier, vol. 84(C).
    17. Tan, Xueping & Sirichand, Kavita & Vivian, Andrew & Wang, Xinyu, 2020. "How connected is the carbon market to energy and financial markets? A systematic analysis of spillovers and dynamics," Energy Economics, Elsevier, vol. 90(C).
    18. Wang, Hu & Li, Shouwei, 2021. "Asymmetric volatility spillovers between crude oil and China's financial markets," Energy, Elsevier, vol. 233(C).
    19. Wang, Yudong & Guo, Zhuangyue, 2018. "The dynamic spillover between carbon and energy markets: New evidence," Energy, Elsevier, vol. 149(C), pages 24-33.
    20. Liu, Jiatong, 2023. "Time-frequency correlations and extreme spillover effects between carbon markets and NFTs: The roles of EPU and COVID-19," Finance Research Letters, Elsevier, vol. 54(C).
    21. Asadi, Mehrad & Roudari, Soheil & Tiwari, Aviral Kumar & Roubaud, David, 2023. "Scrutinizing commodity markets by quantile spillovers: A case study of the Australian economy," Energy Economics, Elsevier, vol. 118(C).
    22. Wu, Rongxin & Tan, Zhizhou & Lin, Boqiang, 2023. "Does carbon emission trading scheme really improve the CO2 emission efficiency? Evidence from China's iron and steel industry," Energy, Elsevier, vol. 277(C).
    23. Nicolas Koch, 2014. "Dynamic linkages among carbon, energy and financial markets: a smooth transition approach," Applied Economics, Taylor & Francis Journals, vol. 46(7), pages 715-729, March.
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    More about this item

    Keywords

    Tail risk; Carbon market; Finance market; Quantile connectedness;
    All these keywords.

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • E43 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Interest Rates: Determination, Term Structure, and Effects
    • F64 - International Economics - - Economic Impacts of Globalization - - - Environment

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