IDEAS home Printed from https://ideas.repec.org/a/fau/fauart/v73y2023i2p189-217.html
   My bibliography  Save this article

The Asymmetric Effects of the Interest Rate on the Bitcoin Price

Author

Listed:
  • Nezir Köse

    (Department of Economics, Beykent University)

  • Emre Ünal

    (Urban Institute, Kyushu University & Department of Economics, Firat University)

Abstract

The news about the US interest rate is expected to cause significant changes in cryptocurrency markets in the 2020s. The asymmetric effects of the interest rate on the Bitcoin price were analyzed by using a SVAR model for the monthly period between January 2012 and October 2022. The selected variables are the VIX, interest rate spread, positive and negative real interest rates, DXY, the gold price, and the oil price. According to the variance decomposition, negative real interest rate shocks created a stronger influence than positive real interest rate shocks on the Bitcoin price. The negative real interest rate shocks became the most explanatory indicator over the period. Impulse response functions indicated that the response of the Bitcoin price to the positive interest rate was insignificant. However, its response to the negative real interest rate became negative and significant only during the mid-term. As a consequence, the negative real interest rate significantly influences the Bitcoin price. The results provide important implications for policymakers, portfolio managers, and investors.

Suggested Citation

  • Nezir Köse & Emre Ünal, 2023. "The Asymmetric Effects of the Interest Rate on the Bitcoin Price," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 73(2), pages 189-217, June.
  • Handle: RePEc:fau:fauart:v:73:y:2023:i:2:p:189-217
    as

    Download full text from publisher

    File URL: https://journal.fsv.cuni.cz/mag/article/show/id/1517
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Bitcoin; interest rate; SVAR model;
    All these keywords.

    JEL classification:

    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling
    • F3 - International Economics - - International Finance
    • G1 - Financial Economics - - General 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:fau:fauart:v:73:y:2023:i:2:p:189-217. 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: Natalie Svarcova (email available below). General contact details of provider: https://edirc.repec.org/data/icunicz.html .

    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.