IDEAS home Printed from https://ideas.repec.org/a/eee/finana/v106y2025ics1057521925006532.html
   My bibliography  Save this article

Do EU-China spillover effects inhibit China's carbon market volatility? A mixed data sampling approach

Author

Listed:
  • Fang, Yan
  • Zhu, Chen
  • Chen, Xiaojing
  • Yi, Yang

Abstract

As global carbon markets become increasingly interconnected, understanding cross-border spillover effects is essential for managing volatility in domestic carbon markets. Using data from October 2017 to December 2023, this study investigates how EU-China spillover effects influence volatility in China's carbon market. We first construct a weekly spillover index via the spillover network approach, and then apply the MIDAS model to estimate the impact of these spillovers on China's monthly carbon price volatility. The results show that EU-China spillover effects significantly reduce volatility, particularly in the short term. Further analysis based on the MF-VAR model reveals that the impact of spillovers varies across different weeks within a month. Mechanism analysis indicates that improvements in green performance, triggered by external policy signals such as the Carbon Border Adjustment Mechanism, serve as an important channel through which EU-China spillovers stabilize China's carbon market volatility. These findings highlight the importance of enhanced policy coordination with major markets like the EU in mitigating the price volatility and strengthening carbon market governance in China.

Suggested Citation

  • Fang, Yan & Zhu, Chen & Chen, Xiaojing & Yi, Yang, 2025. "Do EU-China spillover effects inhibit China's carbon market volatility? A mixed data sampling approach," International Review of Financial Analysis, Elsevier, vol. 106(C).
  • Handle: RePEc:eee:finana:v:106:y:2025:i:c:s1057521925006532
    DOI: 10.1016/j.irfa.2025.104566
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1057521925006532
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.irfa.2025.104566?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

    for a different version of it.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    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
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • P28 - Political Economy and Comparative Economic Systems - - Socialist and Transition Economies - - - Natural Resources; Environment
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy

    Statistics

    Access and download statistics

    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:106:y:2025:i:c:s1057521925006532. 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.