IDEAS home Printed from https://ideas.repec.org/a/eee/finana/v93y2024ics1057521924001261.html
   My bibliography  Save this article

The impact of the Russia–Ukraine war on volatility spillovers

Author

Listed:
  • U, Tony Sio-Chong
  • Lin, Yongjia
  • Wang, Yizhi

Abstract

This paper investigates the impact of the Russia–Ukraine war on the transmission of volatility among financial markets. We first demonstrate that the Russia–Ukraine war instigates significant volatility spillovers across the stock market, currency market, commodity market, and energy market. By conducting frequency dynamic analysis, we find that the long-term responses have a predominant influence on the volatility spillovers associated with the Russia–Ukraine war. The imposition of restrictions on certain Russian banks’ access to the Society for Worldwide Interbank Financial Telecommunications (SWIFT) results in substantial and profound volatility spillovers from the ruble to other markets, and this volatility shock is mitigated after Russia’s response to the restrictions. Furthermore, we find that the intensity of the conflict leads to strong volatility spillovers from the ruble since the onset of the war, while this effect diminishes after investors realize that the war is likely to persist for an extended period.

Suggested Citation

  • U, Tony Sio-Chong & Lin, Yongjia & Wang, Yizhi, 2024. "The impact of the Russia–Ukraine war on volatility spillovers," International Review of Financial Analysis, Elsevier, vol. 93(C).
  • Handle: RePEc:eee:finana:v:93:y:2024:i:c:s1057521924001261
    DOI: 10.1016/j.irfa.2024.103194
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1057521924001261
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.irfa.2024.103194?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.

    More about this item

    Keywords

    Russia–Ukraine war; Volatility spillovers; SWIFT; The ruble;
    All these keywords.

    JEL classification:

    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • F51 - International Economics - - International Relations, National Security, and International Political Economy - - - International Conflicts; Negotiations; Sanctions
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

    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:93:y:2024:i:c:s1057521924001261. 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.