IDEAS home Printed from https://ideas.repec.org/a/bdy/modfin/v3y2025i1p25-37id230.html
   My bibliography  Save this article

On the connectedness between climate policy uncertainty, green bonds, and equity

Author

Listed:
  • David Y. Aharon
  • Ender Demir
  • Zaghum Umar

Abstract

This paper presents a first connectedness analysis using the novel Climate Policy Uncertainty Index (CUI) proposed by Gavriilidis (2021), Green equity and bonds (GE and GB – Green investments), and Dirty equity and bonds (DE and DB – dirty investments). Using data covering the years from 2007 to 2021, we show that the effect of climate policy uncertainty as measured by the CUI is far from constant through time. While static analysis indicates that green investments are isolated from fluctuations in the CUI, an inspection from a dynamic perspective shows that CUI is mostly a transmitter of shocks. This role as a transmitter is evident primarily in two crises since 2008: the subprime crisis and the European debt crisis. Interestingly, during recent years, the influence of climate change policy uncertainty as measured by the CUI has weakened, and it has even become a net recipient of shocks.

Suggested Citation

  • David Y. Aharon & Ender Demir & Zaghum Umar, 2025. "On the connectedness between climate policy uncertainty, green bonds, and equity," Modern Finance, Modern Finance Institute, vol. 3(1), pages 25-37.
  • Handle: RePEc:bdy:modfin:v:3:y:2025:i:1:p:25-37:id:230
    as

    Download full text from publisher

    File URL: https://mf-journal.com/article/view/230
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Guo, Dong & Zhou, Peng, 2021. "Green bonds as hedging assets before and after COVID: A comparative study between the US and China," Energy Economics, Elsevier, vol. 104(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zhou, You & Lin, Lichao & Huang, Ziling, 2024. "Diversification value of green Bonds: Fresh evidence from China," The North American Journal of Economics and Finance, Elsevier, vol. 74(C).
    2. Mensi, Walid & Rehman, Mobeen Ur & Vo, Xuan Vinh, 2022. "Impacts of COVID-19 outbreak, macroeconomic and financial stress factors on price spillovers among green bond," International Review of Financial Analysis, Elsevier, vol. 81(C).
    3. Dong, Xiyong & Xiong, Youlin & Nie, Siyue & Yoon, Seong-Min, 2023. "Can bonds hedge stock market risks? Green bonds vs conventional bonds," Finance Research Letters, Elsevier, vol. 52(C).
    4. Khalfaoui, Rabeh & Mefteh-Wali, Salma & Dogan, Buhari & Ghosh, Sudeshna, 2023. "Extreme spillover effect of COVID-19 pandemic-related news and cryptocurrencies on green bond markets: A quantile connectedness analysis," International Review of Financial Analysis, Elsevier, vol. 86(C).
    5. Cheng, Xuanmei & Yan, Chengnuo & Ye, Kaite & Chen, Kanxiang, 2024. "Enhancing resource efficiency through the utilization of the green bond market: An empirical analysis of Asian economies," Resources Policy, Elsevier, vol. 89(C).
    6. Xu, Danyang & Hu, Yang & Corbet, Shaen & Lang, Chunlin, 2024. "Return connectedness of green bonds and financial investment channels in China: Implications for hedging and regulation," Research in International Business and Finance, Elsevier, vol. 70(PA).
    7. Imran, Zulfiqar Ali & Ahad, Muhammad, 2023. "Safe-haven properties of green bonds for industrial sectors (GICS) in the United States: Evidence from Covid-19 pandemic and Global Financial Crisis," Renewable Energy, Elsevier, vol. 210(C), pages 408-423.
    8. Demiralay, Sercan & Gencer, Hatice Gaye & Bayraci, Selcuk, 2022. "Carbon credit futures as an emerging asset: Hedging, diversification and downside risks," Energy Economics, Elsevier, vol. 113(C).
    9. Zhong, Yufei & Chen, Xuesheng & Wang, Chengfang & Wang, Zhixian & Zhang, Yuchen, 2023. "The hedging performance of green bond markets in China and the U.S.: Novel evidence from cryptocurrency uncertainty," Energy Economics, Elsevier, vol. 128(C).
    10. Man, Yuanyuan & Zhang, Sunpei & Liu, Jianing, 2023. "Dynamic connectedness, asymmetric risk spillovers, and hedging performance of China's green bonds," Finance Research Letters, Elsevier, vol. 56(C).
    11. Liu, Fangying & Su, Chi Wei & Tao, Ran & Umar, Muhammad, 2023. "The instability of U.S. economic policy: A hindrance or a stimulus to green financing?," Economic Analysis and Policy, Elsevier, vol. 80(C), pages 33-46.
    12. Huang, Zishan & Zhu, Huiming & Hau, Liya & Deng, Xi, 2023. "Time-frequency co-movement and network connectedness between green bond and financial asset markets: Evidence from multiscale TVP-VAR analysis," The North American Journal of Economics and Finance, Elsevier, vol. 67(C).
    13. Qin Wang & Xianhua Li, 2025. "Risk Spillover Effects Between the U.S. and Chinese Green Bond Markets: A Threshold Time-Varying Copula-GARCHSK Approach," Computational Economics, Springer;Society for Computational Economics, vol. 65(6), pages 3605-3631, June.
    14. Munir Khamis & Dalal Aassouli, 2023. "The Eligibility of Green Bonds as Safe Haven Assets: A Systematic Review," Sustainability, MDPI, vol. 15(8), pages 1-27, April.
    15. Aamir Aijaz Syed & Farhan Ahmed & Muhammad Abdul Kamal & Assad Ullah & Jose Pedro Ramos-Requena, 2022. "Is There an Asymmetric Relationship between Economic Policy Uncertainty, Cryptocurrencies, and Global Green Bonds? Evidence from the United States of America," Mathematics, MDPI, vol. 10(5), pages 1-15, February.
    16. 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).
    17. Chopra, Monika & Mehta, Chhavi, 2023. "Going green: Do green bonds act as a hedge and safe haven for stock sector risk?," Finance Research Letters, Elsevier, vol. 51(C).
    18. Fiorillo, Paolo & Meles, Antonio & Salerno, Dario & Verdoliva, Vincenzo, 2024. "Geopolitical turmoil and investor green preference: Evidence from the corporate bond market," Journal of International Money and Finance, Elsevier, vol. 149(C).
    19. Song, Lina & Li, Wenting & Yang, Yandi & Gao, Hongyu & Du, Xinqiang & Jia, Xinlin, 2024. "Understanding the impact of Fintech, and Mineral Resources on Artificial Intelligence currency: A global evidence from QARDL Approach," Resources Policy, Elsevier, vol. 95(C).
    20. Kamal, Javed Bin & Hassan, M. Kabir, 2022. "Asymmetric connectedness between cryptocurrency environment attention index and green assets," The Journal of Economic Asymmetries, Elsevier, vol. 25(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bdy:modfin:v:3:y:2025:i:1:p:25-37:id:230. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Adam Zaremba (email available below). General contact details of provider: https://mf-journal.com/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.