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Green Finance Under Climate Risks: A Comparative Analysis of Hedging Effects Between Green Bonds and Green Stocks

Author

Listed:
  • Ting Wang
  • Chi‐Wei Su
  • Hsuling Chang
  • Oana‐Ramona Lobonţ

Abstract

Investigating the hedging effectiveness of green finance against climate risks is essential for optimizing investment strategies. This study employs the rolling‐window wavelet correlation method to capture the time‐varying and multiscale relationships among green bond (GB), green stock (GS), climate physical risk index (PRI), and transition risks index (TRI). The empirical results show that GB serves as a stable short‐term hedge against climate transition and physical risks, supported by their fixed‐income nature and alignment with climate‐oriented investment demand. In contrast, GS correlates negatively with TRI in the short run but shows strengthening hedging ability against physical risks after mid‐2018. Over longer horizons, GS demonstrates stronger hedging effectiveness against both risk types, with relatively consistent performance in hedging against physical risks. But GB shows weaker and less consistent hedging capacity, often correlating negatively at the fortnightly scale and partially turning positive monthly. Despite both assets remaining vulnerable to systemic financial disruptions, their complementary hedging profiles support strategic diversification within multihorizon portfolios to improve climate risk resilience. Against the backdrop of the escalating climate crisis, this paper offers strategic insights for investors, policymakers, and regulators to enhance climate risk resilience through green finance. JEL Classification: C32, Q54, G12

Suggested Citation

  • Ting Wang & Chi‐Wei Su & Hsuling Chang & Oana‐Ramona Lobonţ, 2026. "Green Finance Under Climate Risks: A Comparative Analysis of Hedging Effects Between Green Bonds and Green Stocks," Australian Economic Papers, Wiley Blackwell, vol. 65(1), pages 83-93, March.
    • Handle: RePEc:bla:ausecp:v:65:y:2026:i:1:p:83-93
    DOI: 10.1111/1467-8454.70013
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    as
    1. Su, Chi Wei & Song, Xin Yue & Dou, Junyi & Qin, Meng, 2025. "Fossil fuels or renewable energy? The dilemma of climate policy choices," Renewable Energy, Elsevier, vol. 238(C).
    2. Kashif, Uzma & Abbas, Sohail & Kousar, Shazia & Lu, Heli, 2025. "Linking of bio-energy and carbon neutrality: Navigating economic policy uncertainty and climate change policy in the USA," Energy, Elsevier, vol. 324(C).
    3. Giovanna Bua & Daniel Kapp & Federico Ramella & Lavinia Rognone, 2024. "Transition versus physical climate risk pricing in European financial markets: a text-based approach," The European Journal of Finance, Taylor & Francis Journals, vol. 30(17), pages 2076-2110, November.
    4. Del Giudice, Alfonso & Rigamonti, Silvia & Signori, Andrea, 2025. "Climate change risk and green bond pricing," Journal of Empirical Finance, Elsevier, vol. 82(C).
    5. Wang, Yu & Cheung, Adrian Wai Kong & Yan, Wan-Lin & Wang, Bin, 2025. "Connectedness of China’s green bond and green stock markets at the low- and high-order moments: The role of economic and climate policy uncertainty," The North American Journal of Economics and Finance, Elsevier, vol. 78(C).
    6. Benhmad, François, 2013. "Bull or bear markets: A wavelet dynamic correlation perspective," Economic Modelling, Elsevier, vol. 32(C), pages 576-591.
    7. Cao, Fangzhi & Su, Chi-Wei & Qin, Meng & Moldovan, Nicoleta-Claudia, 2024. "The investment of renewable energy: Is green bond a safe-haven to hedge U.S. monetary policy uncertainty?," Energy, Elsevier, vol. 307(C).
    8. Wang, Junling & Cheng, Siyu & Rong, Xueyun & Xu, Xin, 2024. "Nonlinear impact of climate transition risks on green stock performance: Perspectives from multiscale and lag effects," International Review of Financial Analysis, Elsevier, vol. 94(C).
    9. Su, Xianfang & Guo, Dawei & Dai, Liang, 2023. "Do green bond and green stock markets boom and bust together? Evidence from China," International Review of Financial Analysis, Elsevier, vol. 89(C).
    10. Wang, Chih-Wei & Wu, Yu-Ching & Hsieh, Hsin-Yi & Huang, Po-Hsiang & Lin, Meng-Chieh, 2022. "Does green bond issuance have an impact on climate risk concerns?," Energy Economics, Elsevier, vol. 111(C).
    11. Aall, Carlo & Chang, Miguel & Elliot, Thomas & Holm, Tara Botnen & Løkke, Søren & Mati, Alessandro & Mayer, Stephanie & Skov, Iva Ridjan, 2025. "Overlooked climate risks in the ongoing renewable energy transitions," Energy, Elsevier, vol. 335(C).
    12. Fu, Yating & He, Lingyun & Xia, Yufei & Liu, Rongyan & Chen, Ling, 2025. "Asymmetric effects of media climate sentiment divergence on the volatility of green and grey energy stocks," Finance Research Letters, Elsevier, vol. 74(C).
    13. Haohua Li & Elie Bouri & Rangan Gupta & Libing Fang, 2023. "Return Volatility, Correlation, and Hedging of Green and Brown Stocks: Is there a Role for Climate Risk Factors?," Working Papers 202301, University of Pretoria, Department of Economics.
    14. Fahmy, Hany, 2025. "A stochastic model for predicting the response time of green vs brown stocks to climate change news risk," Journal of Banking & Finance, Elsevier, vol. 178(C).
    15. Josué M. Polanco-Martínez & Luis M. Abadie, 2016. "Analyzing Crude Oil Spot Price Dynamics versus Long Term Future Prices: A Wavelet Analysis Approach," Energies, MDPI, vol. 9(12), pages 1-19, December.
    16. Wu, Jiawen & Li, Jing-Ping & Su, Chi-Wei, 2024. "Can green bond hedges climate policy uncertainty in the United States: New insights from novel time-varying causality and quantile-on-quantile methods?," Economic Analysis and Policy, Elsevier, vol. 82(C), pages 1158-1176.
    17. Yan, Guan & Li, Fanglin & Liu, Zhidong & Zhou, Lu Jolly, 2025. "Climate risk concern and green premium in the stock market: Evidence from China," Finance Research Letters, Elsevier, vol. 84(C).
    18. Su, Chi-Wei & Wu, Ying & Qin, Meng, 2025. "Preserving energy security: Can renewable energy withstand the energy-related uncertainty risk?," Energy, Elsevier, vol. 320(C).
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    More about this item

    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
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

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