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Tokens and cryptocurrencies: Evidence from asymmetric frequency connectedness approach

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  • 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
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    Keywords

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    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

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