IDEAS home Printed from https://ideas.repec.org/a/eee/finana/v102y2025ics1057521925001334.html
   My bibliography  Save this article

The impact of climate policy uncertainty on the correlations between green bond and green stock markets

Author

Listed:
  • Chen, Yaling
  • Jiang, Qinnan
  • Dai, Zhifeng
  • Liu, Yinpeng

Abstract

The correlations among financial assets, portfolio construction, and risk management are inseparable. This paper utilizes the DCC-MIDAS model and quantile-on-quantile (QQ) approach to investigate dynamic relationships between green bond and various green stock markets, as well as the influencing factors. Furthermore, we also consider the portfolio diversification and the hedging potential of green bond for green stocks. The results indicate that, firstly, correlations between them are relatively weak and exhibit time-varying characteristics across different time scales. Secondly, incorporating a certain proportion of green bond assets when investing in green stocks can significantly reduce overall risk. However, we observe that in the face of extreme CPU shocks, the green bond does not appear to function as a strong safe-haven asset for green stocks. Finally, CPU exhibits an asymmetric, nonlinear positive impact on their long-term correlations. The findings help provide decision-making support for investors to adjust asset allocations, and assist regulatory agencies in enhancing their ability to identify risks in the green financial market.

Suggested Citation

  • Chen, Yaling & Jiang, Qinnan & Dai, Zhifeng & Liu, Yinpeng, 2025. "The impact of climate policy uncertainty on the correlations between green bond and green stock markets," International Review of Financial Analysis, Elsevier, vol. 102(C).
  • Handle: RePEc:eee:finana:v:102:y:2025:i:c:s1057521925001334
    DOI: 10.1016/j.irfa.2025.104046
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1057521925001334
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.irfa.2025.104046?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:eee:finana:v:102:y:2025:i:c:s1057521925001334. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/620166 .

    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.