IDEAS home Printed from https://ideas.repec.org/a/eee/finana/v106y2025ics1057521925006659.html
   My bibliography  Save this article

Financial openness, major events, and exchange rate linkage: Empirical analysis based on the DCC-MIDAS model

Author

Listed:
  • Zhang, Wenwen
  • Zhan, Yaosong
  • Liang, Yiwei

Abstract

This study examines the comovement between China's offshore RMB exchange rate and the currencies of 11 Asia-Pacific countries from 2013 to 2022 using daily data and the DCC-MIDAS model. We hypothesize that improved financial openness enhances this comovement, while major political and economic events weaken it in the short term. In the long run, endogenous events strengthen the comovement, whereas exogenous events further diminish it. The results show that the 811 Exchange Rate Reform significantly strengthened the comovement, while the China–US trade war and COVID-19 reduced it in the short term. Over time, the trade war increased the comovement. However, the pandemic continues to weaken it, thus highlighting the offshore RMB's evolving regional influence amid financial reforms and global shocks.

Suggested Citation

  • Zhang, Wenwen & Zhan, Yaosong & Liang, Yiwei, 2025. "Financial openness, major events, and exchange rate linkage: Empirical analysis based on the DCC-MIDAS model," International Review of Financial Analysis, Elsevier, vol. 106(C).
  • Handle: RePEc:eee:finana:v:106:y:2025:i:c:s1057521925006659
    DOI: 10.1016/j.irfa.2025.104578
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1057521925006659
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.irfa.2025.104578?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

    ;
    ;
    ;
    ;
    ;
    ;

    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:s1057521925006659. 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.