IDEAS home Printed from https://ideas.repec.org/a/eee/riibaf/v77y2025ipas0275531925001618.html
   My bibliography  Save this article

Extreme events and quantile time-frequency volatility connectedness across crude oil, green bonds and low-carbon equity markets

Author

Listed:
  • Wang, Jikai
  • Qiao, Gaoxiu

Abstract

This paper quantifies the static and dynamic volatility connectedness among Chinese and international crude oil prices, green bonds, and low-carbon equity in both time and frequency domains and across quantiles, with a focus on critical extreme spillover effects accompanying extreme events. By introducing novel indicators, the Connectedness Survival Rate (CSR) and Quantile Connectedness Survival Rate (QCSR), we evaluate the stability of connectedness and prove the economic significance of these indicators. Empirical results demonstrate that extreme events significantly amplify the time-varying volatility connectedness, with pronounced aggregation at extreme quantiles. In the mean frequency domain, Chinese green bonds and low-carbon equity exhibit higher independence, effectively serving as short-term and long-term hedging tools, respectively. The connectedness evolves from long-term to short-term under extreme events. The newly introduced indicators reveal high volatility and long-term vulnerability of connectedness during extreme events. Our findings provide essential quantitative references for enhancing the resilience of these markets in times of frequent extreme events.

Suggested Citation

  • Wang, Jikai & Qiao, Gaoxiu, 2025. "Extreme events and quantile time-frequency volatility connectedness across crude oil, green bonds and low-carbon equity markets," Research in International Business and Finance, Elsevier, vol. 77(PA).
  • Handle: RePEc:eee:riibaf:v:77:y:2025:i:pa:s0275531925001618
    DOI: 10.1016/j.ribaf.2025.102905
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0275531925001618
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ribaf.2025.102905?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:riibaf:v:77:y:2025:i:pa:s0275531925001618. 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/ribaf .

    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.