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The COVID-19 effects on cryptocurrency markets: robust evidence from time-frequency analysis

Author

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  • Ngo Thai Hung

    (University of Finance-Marketing)

Abstract

This study contributes to the related literature on the COVID-cryptocurrency relationship by examining its dynamics in the time-frequency space. The application of wavelet frameworks to the news-based COVID-19 sentiment index introduced by Buckman et al. (2020) is what distinguishes our approach. Our empirical results suggest a bidirectional relationship between the two variables in the short and medium run. Specifically, negative co-movement between them was found during the COVID-19 crisis. In addition, the COVID-19 sentiment index has a higher causal effect and a significant connection with the selected cryptocurrency prices. News-based sentiment indexes can provide fresh insight into future developments in the cryptocurrency markets.

Suggested Citation

  • Ngo Thai Hung, 2022. "The COVID-19 effects on cryptocurrency markets: robust evidence from time-frequency analysis," Economics Bulletin, AccessEcon, vol. 42(1), pages 109-123.
    • Handle: RePEc:ebl:ecbull:eb-21-00769
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    References listed on IDEAS

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    More about this item

    Keywords

    COVID-19; cryptocurrency markets; wavelet analysis; news-based sentiment index.;
    All these keywords.

    JEL classification:

    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling
    • G1 - Financial Economics - - General Financial Markets

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