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Spillover effect among carbon bond market, carbon stock market and energy stock market: Evidence from China

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  • Guo, Xiaozhu
  • Wang, Yi
  • Hao, Yixue
  • Zhang, Wenwen

Abstract

In this paper, we employ the time domain dynamic connectedness method of Antonakakis et al. (2020) and the frequency domain dynamic connectedness method of Barunik and Ellington (2020) to explore the complex linkages among Chinese carbon bond market, carbon stock market and energy stock market. We find firstly that the spillover effects among Chinese carbon bond market, carbon stock market and energy stock market are dynamic and mainly transitional. Secondly, carbon stock market and carbon bond market (especially the carbon neutral bond market) play the role of the major net transmitter and receiver of shocks, respectively. And, their roles as net transmitter and receiver of shocks are persistent. Finally, the risks of companies that have achieved effective results in the field of carbon neutrality may bring greater pressure to the energy stock market, but the carbon bond market can alleviate this pressure to a certain extent. Meanwhile, the impact of carbon stock market on energy stock market and the ability of carbon bond market (especially the carbon neutral bond market) to mitigate the risks of the energy stock market is persistent.

Suggested Citation

  • Guo, Xiaozhu & Wang, Yi & Hao, Yixue & Zhang, Wenwen, 2023. "Spillover effect among carbon bond market, carbon stock market and energy stock market: Evidence from China," Finance Research Letters, Elsevier, vol. 58(PC).
    • Handle: RePEc:eee:finlet:v:58:y:2023:i:pc:s1544612323008930
    DOI: 10.1016/j.frl.2023.104521
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    1. Dirk G. Baur & Brian M. Lucey, 2010. "Is Gold a Hedge or a Safe Haven? An Analysis of Stocks, Bonds and Gold," The Financial Review, Eastern Finance Association, vol. 45(2), pages 217-229, May.
    2. 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).
    3. Rannou, Yves & Boutabba, Mohamed Amine & Barneto, Pascal, 2021. "Are Green Bond and Carbon Markets in Europe complements or substitutes? Insights from the activity of power firms," Energy Economics, Elsevier, vol. 104(C).
    4. Tiwari, Aviral Kumar & Aikins Abakah, Emmanuel Joel & Gabauer, David & Dwumfour, Richard Adjei, 2022. "Dynamic spillover effects among green bond, renewable energy stocks and carbon markets during COVID-19 pandemic: Implications for hedging and investments strategies," Global Finance Journal, Elsevier, vol. 51(C).
    5. Mensi, Walid & Shafiullah, Muhammad & Vo, Xuan Vinh & Kang, Sang Hoon, 2022. "Spillovers and connectedness between green bond and stock markets in bearish and bullish market scenarios," Finance Research Letters, Elsevier, vol. 49(C).
    6. Dai, Xingyu & Xiao, Ling & Wang, Qunwei & Dhesi, Gurjeet, 2021. "Multiscale interplay of higher-order moments between the carbon and energy markets during Phase III of the EU ETS," Energy Policy, Elsevier, vol. 156(C).
    7. Pham, Linh, 2021. "Frequency connectedness and cross-quantile dependence between green bond and green equity markets," Energy Economics, Elsevier, vol. 98(C).
    8. 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.
    9. Naeem, Muhammad Abubakr & Bouri, Elie & Costa, Mabel D. & Naifar, Nader & Shahzad, Syed Jawad Hussain, 2021. "Energy markets and green bonds: A tail dependence analysis with time-varying optimal copulas and portfolio implications," Resources Policy, Elsevier, vol. 74(C).
    10. Liang, Chao & Xia, Zhenglan & Lai, Xiaodong & Wang, Lu, 2022. "Natural gas volatility prediction: Fresh evidence from extreme weather and extended GARCH-MIDAS-ES model," Energy Economics, Elsevier, vol. 116(C).
    11. Qiao, Xingzhi & Zhu, Huiming & Zhang, Zhongqingyang & Mao, Weifang, 2022. "Time-frequency transmission mechanism of EPU, investor sentiment and financial assets: A multiscale TVP-VAR connectedness analysis," The North American Journal of Economics and Finance, Elsevier, vol. 63(C).
    12. Feng Ma & Chao Liang & Qing Zeng & Haibo Li, 2021. "Jumps and oil futures volatility forecasting: a new insight," Quantitative Finance, Taylor & Francis Journals, vol. 21(5), pages 853-863, May.
    13. Choudhury, Tonmoy & Kinateder, Harald & Neupane, Biwesh, 2022. "Gold, bonds, and epidemics: A safe haven study," Finance Research Letters, Elsevier, vol. 48(C).
    14. Ren, Xiaohang & Li, Yiying & yan, Cheng & Wen, Fenghua & Lu, Zudi, 2022. "The interrelationship between the carbon market and the green bonds market: Evidence from wavelet quantile-on-quantile method," Technological Forecasting and Social Change, Elsevier, vol. 179(C).
    15. Liu, Hsiang-Hsi & Chen, Yi-Chun, 2013. "A study on the volatility spillovers, long memory effects and interactions between carbon and energy markets: The impacts of extreme weather," Economic Modelling, Elsevier, vol. 35(C), pages 840-855.
    16. Cao, Guangxi & Xie, Wenhao, 2022. "Asymmetric dynamic spillover effect between cryptocurrency and China's financial market: Evidence from TVP-VAR based connectedness approach," Finance Research Letters, Elsevier, vol. 49(C).
    17. Li, Xiafei & Li, Bo & Wei, Guiwu & Bai, Lan & Wei, Yu & Liang, Chao, 2021. "Return connectedness among commodity and financial assets during the COVID-19 pandemic: Evidence from China and the US," Resources Policy, Elsevier, vol. 73(C).
    18. 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.
    19. Huang, Jionghao & Chen, Baifan & Xu, Yushi & Xia, Xiaohua, 2023. "Time-frequency volatility transmission among energy commodities and financial markets during the COVID-19 pandemic: A Novel TVP-VAR frequency connectedness approach," Finance Research Letters, Elsevier, vol. 53(C).
    20. Kumar, Surender & Managi, Shunsuke & Matsuda, Akimi, 2012. "Stock prices of clean energy firms, oil and carbon markets: A vector autoregressive analysis," Energy Economics, Elsevier, vol. 34(1), pages 215-226.
    21. Huang, Jie & Cao, Yu & Zhong, Pengshu, 2022. "Searching for a safe haven to crude oil: Green bond or precious metals?," Finance Research Letters, Elsevier, vol. 50(C).
    22. Liang, Chao & Umar, Muhammad & Ma, Feng & Huynh, Toan L.D., 2022. "Climate policy uncertainty and world renewable energy index volatility forecasting," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    23. Ha, Le Thanh & Nham, Nguyen Thi Hong, 2022. "An application of a TVP-VAR extended joint connected approach to explore connectedness between WTI crude oil, gold, stock and cryptocurrencies during the COVID-19 health crisis," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
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