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Green Bonds and Energy Markets Under Climate Risk Shock: A Spillover Perspective

  • Yun XU*
  • , Xiaoliang GUO
  • , Wei JIANG
  • , Zusheng TAN
  • , Billy CHIU
  • *Corresponding author for this work

Research output: Journal PublicationsJournal Article (refereed)peer-review

Abstract

In the context of escalating climate change, it is imperative to understand its multifaceted impacts on financial markets, as climate risks not only affect the low-order moments (mean and variance) but also the high-order moments (skew and kurtosis) of the energy market and the bond market. This study employs a quantile vector autoregressive framework, a combination of time-domain and frequency-domain analyses, and quantile-to-quantile regression to assess the dynamic spillover effects under varying market conditions. The results reveal that spillover effects are particularly pronounced during extreme events, both high positive shocks (above the 80th percentile) or high negative changes (below the 20th percentile). Furthermore, during periods of high climate risks, the dynamic interaction between the energy market and green bonds intensifies, strengthening their roles in the context of spillover effects and altering their respective positions. Our findings also exhibit that the coal markets and green bonds act as net recipients of spillovers, highlighting their potential as effective hedging instruments. Finally, climate risks contribute to an increasing spillover of risk in the new energy sector, with the long-term trend showing the most significant growth in spillover intensity.
Original languageEnglish
Article number3522
JournalSustainability
Volume18
Issue number7
DOIs
Publication statusE-pub ahead of print - 3 Apr 2026

Funding

This work was supported by the National Social Science Foundation of China (No.20BJL020) and National Social Science Foundation of China (No.22&ZD117).

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 13 - Climate Action
    SDG 13 Climate Action

Keywords

  • quantile
  • vector autoregression
  • climate risk
  • energy market
  • green bond
  • spillover effect

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