IDEAS home Printed from https://ideas.repec.org/a/spr/eurase/v14y2024i3d10.1007_s40822-024-00271-1.html
   My bibliography  Save this article

Economic policy uncertainty and cryptocurrencies

Author

Listed:
  • Chiara Oldani

    (Università Degli Studi Della Tuscia)

  • Giovanni S. F. Bruno

    (Bocconi University)

  • Marcello Signorelli

    (University of Perugia)

Abstract

The paper focuses on the relationship between cryptocurrencies and economic policy uncertainty (EPU) shocks by adopting robust econometric techniques. Results on monthly data from 2016 to 2022 confirm that the volumes of cryptos are stationary, and the short- and long-run impacts of uncertainty shocks are significantly positive, and, in most cases, begin to show already in the first six months after the shock. When uncertainty significantly prevails, investors increase their demand for cryptos. The ARDL(12,11) specifications for Bitcoin show a significant increase in volumes of around 1% occurring over a year after a unit increase in economic policy indices. Conclusions from the findings are related to supervision, and monitoring of markets and financial stability.

Suggested Citation

  • Chiara Oldani & Giovanni S. F. Bruno & Marcello Signorelli, 2024. "Economic policy uncertainty and cryptocurrencies," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 14(3), pages 709-728, September.
  • Handle: RePEc:spr:eurase:v:14:y:2024:i:3:d:10.1007_s40822-024-00271-1
    DOI: 10.1007/s40822-024-00271-1
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s40822-024-00271-1
    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/s40822-024-00271-1?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

    Autoregressive distributed lag model; Cryptocurrency; Economic policy uncertainty; Financial stability; Financial regulation;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • E6 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook
    • G18 - Financial Economics - - General Financial Markets - - - Government Policy and Regulation
    • O38 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Government Policy

    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:eurase:v:14:y:2024:i:3:d:10.1007_s40822-024-00271-1. 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.