IDEAS home Printed from https://ideas.repec.org/a/eee/riibaf/v77y2025ipas0275531925001400.html
   My bibliography  Save this article

Tokens and cryptocurrencies: Evidence from asymmetric frequency connectedness approach

Author

Listed:
  • Mbarek, Marouene
  • Msolli, Badreddine

Abstract

This study assesses the asymmetric return spillovers between specific token sectors and conventional cryptocurrencies using a time-varying parameter vector autoregressive-based asymmetric frequency connectedness approach. The results indicate that linkages over positive returns are weaker than those over negative returns, highlighting the asymmetric reactions of crypto investors to both positive and negative news. Furthermore, connectedness is driven by high frequency, providing diversification benefits to portfolio managers who favor long-term investments. Additionally, tokens from the healthcare and transportation sectors are net recipients, while conventional cryptocurrencies are net transmitters of spillovers. AI tokens, MED, and XRP exhibit changes across domain frequency and market situations. Portfolio analysis indicates that tokens serve as the most cost-effective hedging during normal times and market upturns but become expensive during market downturns.

Suggested Citation

  • Mbarek, Marouene & Msolli, Badreddine, 2025. "Tokens and cryptocurrencies: Evidence from asymmetric frequency connectedness approach," Research in International Business and Finance, Elsevier, vol. 77(PA).
  • Handle: RePEc:eee:riibaf:v:77:y:2025:i:pa:s0275531925001400
    DOI: 10.1016/j.ribaf.2025.102884
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0275531925001400
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ribaf.2025.102884?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

    Frequency connectedness; Asymmetric spillovers; Tokens; Cryptocurrencies; Portfolio diversification;
    All these keywords.

    JEL classification:

    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • 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:riibaf:v:77:y:2025:i:pa:s0275531925001400. 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/ribaf .

    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.