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Cryptomarket Volatility in Times of COVID-19 Pandemic: Application of GARCH Models

Author

Listed:
  • Mrestyal Khan

    (COMSATS University Islamabad, Islamabad, Pakistan)

  • Maaz Khan

    (Islamabad Policy Research Institute (IPRI), Islamabad, Pakistan, and COMSATS University Islamabad, Islamabad, Pakistan)

Abstract

COVID-19 pandemic has caused significant losses and an increase in the level of risk in the financial markets and global economy. Thus in this study, we model the crypto market volatility behavior during the COVID-19 crisis. GARCH (1, 1) and GJR-GARCH (1, 1) were applied to model the volatility clustering and leverage effects in the intraday day (15-minute interval) returns of Bitcoin, Ethereum, and Litcoin ranging from 11th April 2019 to 8th February 2021. The empirical findings from GARCH (1, 1) model indicates the presence of volatility clustering in the crypto market. Moreover, the results of the GJR-GARCH (1, 1) indicate the presence of leverage effects in the financial returns series of all three crypto currencies. Furthermore, the excess kurtosis confirms the existence of fat-tail phenomena in the crypto market. Overall, the findings from this study showed that in times of COVID 19 pandemic the crypto market returns series showed volatility persistence, fat-tail phenomena, and leverage effects. These outcomes provide a better understanding for financial investors to invest rationally and cautiously during pandemic times.

Suggested Citation

  • Mrestyal Khan & Maaz Khan, 2021. "Cryptomarket Volatility in Times of COVID-19 Pandemic: Application of GARCH Models," Economic Research Guardian, Weissberg Publishing, vol. 11(2), pages 170-181, December.
    • Handle: RePEc:wei:journl:v:11:y:2021:i:2:p:170-181
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    Citations

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    Cited by:

    1. Kayani, Umar Nawaz & Hassan, M. Kabir & Moussa, Faten & Hossain, Gazi Farid, 2023. "Oil in crisis: What can we learn," The Journal of Economic Asymmetries, Elsevier, vol. 28(C).
    2. Maaz Khan & Umar Nawaz Kayani & Mrestyal Khan & Khurrum Shahzad Mughal & Mohammad Haseeb, 2023. "COVID-19 Pandemic & Financial Market Volatility; Evidence from GARCH Models," JRFM, MDPI, vol. 16(1), pages 1-20, January.

    More about this item

    Keywords

    COVID-19; GARCH; GJR-GARCH; Volatility; Cryptocurrency;
    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
    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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