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Interconnectedness of Cryptocurrency Uncertainty Indices with Returns and Volatility in Financial Assets during COVID-19

Author

Listed:
  • Awad Asiri

    (College of Business Administration, Jazan University, Jizan 45142, Saudi Arabia)

  • Mohammed Alnemer

    (College of Business Administration, Shaqra University, Shaqra 15526, Saudi Arabia)

  • M. Ishaq Bhatti

    (UBD School of Business and Economics, Universiti Brunie Darussalam, Gadong BE 1410, Brunei
    Brunei & La Trobe Business School, La Trobe University, Melbourne, VIC 3086, Australia)

Abstract

This paper investigates the dynamic relationship between cryptocurrency uncertainty indices and the movements in returns and volatility across spectrum of financial assets, comprising cryptocurrencies, precious metals, green bonds, and soft commodities. It employs a Time-Varying Parameter Vector Autoregressive (TVP-VAR) connectedness approach; the analysis covers both the entire sample period spanning August 2015 to 31 December 2021 and the distinct phase of COVID-19 pandemic. The findings of the study reveal the interconnectedness of returns within these asset classes during the COVID-19 pandemic. In this context, cryptocurrency uncertainty indices emerge as influential transmitters of shocks to other financial asset categories and it significantly escalates throughout the crisis period. Additionally, the outcomes of the study imply that during times of heightened uncertainty, exemplified by events such as the COVID-19 pandemic, the feasibility of portfolio diversification for investors might be constrained. Consequently, the amplified linkages between financial assets through both forward and backward connections could potentially compromise financial stability. This research sheds light on the impact of cryptocurrency uncertainty on the broader financial market, particularly during periods of crisis. The findings have implications for investors and policymakers, emphasizing the need for a comprehensive understanding of the interconnectedness of financial assets and the potential risks associated with increased interdependence. By recognizing these dynamics, stakeholders can make informed decisions to enhance financial stability and manage portfolio risk effectively.

Suggested Citation

  • Awad Asiri & Mohammed Alnemer & M. Ishaq Bhatti, 2023. "Interconnectedness of Cryptocurrency Uncertainty Indices with Returns and Volatility in Financial Assets during COVID-19," JRFM, MDPI, vol. 16(10), pages 1-18, September.
  • Handle: RePEc:gam:jjrfmx:v:16:y:2023:i:10:p:428-:d:1247835
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    References listed on IDEAS

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    1. Ghouse, Ghulam & Bhatti, Muhammad Ishaq & Aslam, Aribah & Ahmad, Nawaz, 2023. "Asymmetric spillover effects of Covid-19 on the performance of the Islamic finance industry: A wave analysis and forecasting," The Journal of Economic Asymmetries, Elsevier, vol. 27(C).
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    4. Thomas J. Fisher & Colin M. Gallagher, 2012. "New Weighted Portmanteau Statistics for Time Series Goodness of Fit Testing," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 107(498), pages 777-787, June.
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