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Towards Examining the Volatility of Top Market-Cap Cryptocurrencies Throughout the COVID-19 Outbreak and the Russia–Ukraine War: Empirical Evidence from GARCH-Type Models

Author

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  • Ștefan-Cristian Gherghina

    (Department of Finance, Bucharest University of Economic Studies, 6 Piata Romana, 010374 Bucharest, Romania)

  • Cristina-Andreea Constantinescu

    (Department of Finance, Bucharest University of Economic Studies, 6 Piata Romana, 010374 Bucharest, Romania)

Abstract

The cryptocurrency market, known for its inherent volatility, has been significantly influenced by external shocks, particularly during periods of global crises such as the COVID-19 pandemic and the Russia–Ukraine war. This study investigates the volatility of the top seven cryptocurrencies by market capitalization—Bitcoin (BTC), Ethereum (ETH), Tether (USDT), Binance Coin (BNB), USD Coin (USDC), XRP, and Cardano (ADA)—from 1 January 2020 to 1 September 2024, employing a range of GARCH models (GARCH, EGARCH, TGARCH, and DCC-GARCH). This research aims to examine the persistence of leverage effects, volatility asymmetry, and the impact of past price fluctuations on future volatility, with a particular focus on how these dynamics were shaped by the pandemic and geopolitical tensions. The findings reveal that past price fluctuations had a limited impact on future volatility for most cryptocurrencies, although leverage effects became evident during market anomalies. Stablecoins (USDC and USDT) showed a distinct volatility pattern, reflecting their peg to the US Dollar, while platform-associated BNB demonstrated unique volatility characteristics. The results underscore the market’s sensitivity to price movements, highlighting the varying reactions of investor profiles across different cryptocurrencies. These insights contribute to understanding volatility transmission within the cryptocurrency market during times of crisis and offer important implications for market participants, particularly in the context of risk management strategies.

Suggested Citation

  • Ștefan-Cristian Gherghina & Cristina-Andreea Constantinescu, 2025. "Towards Examining the Volatility of Top Market-Cap Cryptocurrencies Throughout the COVID-19 Outbreak and the Russia–Ukraine War: Empirical Evidence from GARCH-Type Models," Risks, MDPI, vol. 13(3), pages 1-43, March.
  • Handle: RePEc:gam:jrisks:v:13:y:2025:i:3:p:57-:d:1615450
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    References listed on IDEAS

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    1. Aalborg, Halvor Aarhus & Molnár, Peter & de Vries, Jon Erik, 2019. "What can explain the price, volatility and trading volume of Bitcoin?," Finance Research Letters, Elsevier, vol. 29(C), pages 255-265.
    2. Marie Briere & Kim Oosterlinck & Ariane Szafarz, 2015. "Virtual Currency, Tangible Return: Portfolio Diversification with Bitcoins," Post-Print CEB, ULB -- Universite Libre de Bruxelles, vol. 16(6), pages 365-373.
    3. Foroutan, Parisa & Lahmiri, Salim, 2022. "The effect of COVID-19 pandemic on return-volume and return-volatility relationships in cryptocurrency markets," Chaos, Solitons & Fractals, Elsevier, vol. 162(C).
    4. Brini, Alessio & Lenz, Jimmie, 2022. "Assessing the resiliency of investors against cryptocurrency market crashes through the leverage effect," Economics Letters, Elsevier, vol. 220(C).
    5. Aviral Kumar Tiwari & Satish Kumar & Rajesh Pathak, 2019. "Modelling the dynamics of Bitcoin and Litecoin: GARCH versus stochastic volatility models," Applied Economics, Taylor & Francis Journals, vol. 51(37), pages 4073-4082, August.
    Full references (including those not matched with items on IDEAS)

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