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Carbon prices and green bond markets: Global insights from quantile connectedness

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  • Bouteska, Ahmed
  • Harasheh, Murad
  • Marzo, Massimiliano

Abstract

Carbon pricing mechanisms and green bond markets are pivotal in addressing climate change and transitioning to sustainable finance. This study examines the interconnectedness between four global carbon price indices and the three largest green bond markets. We use daily data from July 2019 to April 2024, employing quantile-based connectedness analysis to investigate the return and volatility spillovers under normal, bullish, and bearish market conditions. The results reveal that carbon price indices act as net transmitters of shocks, whereas green bond markets are net receivers. Connectedness intensifies during extreme market movements, underscoring the influence of global events. These findings highlight the critical role of carbon prices and green bonds in navigating financial risks and opportunities within the sustainable finance ecosystem.

Suggested Citation

  • Bouteska, Ahmed & Harasheh, Murad & Marzo, Massimiliano, 2025. "Carbon prices and green bond markets: Global insights from quantile connectedness," Finance Research Letters, Elsevier, vol. 84(C).
  • Handle: RePEc:eee:finlet:v:84:y:2025:i:c:s1544612325010104
    DOI: 10.1016/j.frl.2025.107752
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    References listed on IDEAS

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    1. Umar, Zaghum & Trabelsi, Nader & Zaremba, Adam, 2021. "Oil shocks and equity markets: The case of GCC and BRICS economies," Energy Economics, Elsevier, vol. 96(C).
    2. Andrew Ang & Geert Bekaert, 2002. "International Asset Allocation With Regime Shifts," The Review of Financial Studies, Society for Financial Studies, vol. 15(4), pages 1137-1187.
    3. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    4. 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.
    5. Pesaran, H. Hashem & Shin, Yongcheol, 1998. "Generalized impulse response analysis in linear multivariate models," Economics Letters, Elsevier, vol. 58(1), pages 17-29, January.
    6. Flammer, Caroline, 2021. "Corporate green bonds," Journal of Financial Economics, Elsevier, vol. 142(2), pages 499-516.
    7. Qi, Shaozhou & Pang, Lidong & Qi, Tianbai & Zhang, Xiaoling & Pirtea, Marilen Gabriel, 2024. "The correlation between the green bond market and carbon trading markets under climate change: Evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 203(C).
    8. Balli, Faruk & Balli, Hatice Ozer & Dang, Tam Hoang Nhat & Gabauer, David, 2023. "Contemporaneous and lagged R2 decomposed connectedness approach: New evidence from the energy futures market," Finance Research Letters, Elsevier, vol. 57(C).
    9. Reboredo, Juan C., 2018. "Green bond and financial markets: Co-movement, diversification and price spillover effects," Energy Economics, Elsevier, vol. 74(C), pages 38-50.
    10. Dai, Zhifeng & Zhang, Xiaotong & Yin, Zhujia, 2023. "Extreme time-varying spillovers between high carbon emission stocks, green bond and crude oil: Evidence from a quantile-based analysis," Energy Economics, Elsevier, vol. 118(C).
    11. Maria Jua Bachelet & Leonardo Becchetti & Stefano Manfredonia, 2019. "The Green Bonds Premium Puzzle: The Role of Issuer Characteristics and Third-Party Verification," Sustainability, MDPI, vol. 11(4), pages 1-22, February.
    12. Tomohiro Ando & Matthew Greenwood-Nimmo & Yongcheol Shin, 2022. "Quantile Connectedness: Modeling Tail Behavior in the Topology of Financial Networks," Management Science, INFORMS, vol. 68(4), pages 2401-2431, April.
    13. 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.
    14. Jin, Jiayu & Han, Liyan & Wu, Lei & Zeng, Hongchao, 2020. "The hedging effect of green bonds on carbon market risk," International Review of Financial Analysis, Elsevier, vol. 71(C).
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    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy

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