IDEAS home Printed from https://ideas.repec.org/a/spr/inrvec/v71y2024i2d10.1007_s12232-023-00444-5.html
   My bibliography  Save this article

Causality between stock indices and cryptocurrencies before and during the Russo–Ukrainian war

Author

Listed:
  • Nidhal Mgadmi

    (University of Manouba-Tunisia)

  • Tarek Sadraoui

    (University of Manouba-Tunisia)

  • Ameni Abidi

    (University of Manouba-Tunisia)

Abstract

In this paper, we study the unidirectional interdependence between the stock indices of Japan, Canada, Germany, France, Russia, Ukraine, and the United States with the seven most popular cryptocurrencies: Bitcoin, Ethereum, Litecoin, Dash, Ripple, DigiByte, and XEM. We focus on two sub-periods: the first before the war in July 1, 2017 to September 31, 2019 and the second during the war in the start of the Russian invasion of Ukraine to December 16, 2023. We use the Granger causality test (Econom J Econom Soc 37:424–438, 1969) in levels to investigate the strong dependence between the seven stock indices and the seven cryptocurrencies. We find that the unidirectional dependence between these two asset classes disappears during the war due to high volatility, as evidenced by the GARCH and FGARCH models.

Suggested Citation

  • Nidhal Mgadmi & Tarek Sadraoui & Ameni Abidi, 2024. "Causality between stock indices and cryptocurrencies before and during the Russo–Ukrainian war," International Review of Economics, Springer;Happiness Economics and Interpersonal Relations (HEIRS), vol. 71(2), pages 301-323, June.
  • Handle: RePEc:spr:inrvec:v:71:y:2024:i:2:d:10.1007_s12232-023-00444-5
    DOI: 10.1007/s12232-023-00444-5
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s12232-023-00444-5
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s12232-023-00444-5?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

    FGARCH; Russo–Ukrainian war; Cryptocurrencies; FGARCH; Causality;
    All these keywords.

    JEL classification:

    • C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics
    • E11 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Marxian; Sraffian; Kaleckian
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis

    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:spr:inrvec:v:71:y:2024:i:2:d:10.1007_s12232-023-00444-5. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.