IDEAS home Printed from https://ideas.repec.org/a/taf/apeclt/v32y2025i4p470-475.html
   My bibliography  Save this article

A wavelet-based time-frequency dependency and safe haven attributes of gold: evidence from the Russia–Ukraine war

Author

Listed:
  • Suraj Velip
  • Mrunali Jambotkar
  • Savita Velip

Abstract

In the context of the Russia–Ukraine war, this study examines the dependence structure and evaluates the safe haven attributes of gold for equity in the time-frequency domain. We use the wavelet coherence analysis for the leading stock markets and gold prices. Empirical results indicate that gold can be regarded as a safe haven for France, Italy and German stock markets only during the early phase of the war as the market regained quickly from the downturn. Further, in the long-run, a few evidences of positive connectedness demonstrate the diversifier property of gold against stocks. These contributions may be useful for portfolio investors that are desirous of managing and readjusting their portfolio with gold and equity in times of market turmoil.

Suggested Citation

  • Suraj Velip & Mrunali Jambotkar & Savita Velip, 2025. "A wavelet-based time-frequency dependency and safe haven attributes of gold: evidence from the Russia–Ukraine war," Applied Economics Letters, Taylor & Francis Journals, vol. 32(4), pages 470-475, February.
    • Handle: RePEc:taf:apeclt:v:32:y:2025:i:4:p:470-475
    DOI: 10.1080/13504851.2023.2275644
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/13504851.2023.2275644
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/13504851.2023.2275644?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

    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:taf:apeclt:v:32:y:2025:i:4:p:470-475. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RAEL20 .

    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.