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An enquiry into extreme price movements of the cryptocurrencies in the backdrop of COVID-19

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  • Suvvari ANANDARAO

    (Institute of Management Technology, Hyderabad, India)

  • Balaga Mohana RAO

    (Indian Institute of Technology, Dharward, India)

  • Anoop S KUMAR

    (Gulati Institute of Finance and Taxation, Thiruvananthapuram, India)

Abstract

Our paper investigates the explosive nature of cryptocurrency prices in the backdrop of the COVID-19 pandemic. In this paper, we use the daily prices of six major cryptocurrencies, namely Bitcoin (BTC), Dash (DASH), Ethereum (ETH), Litecoin (LTC), Nem (NEM), and Ripple (XRP), ranging from 07.08.2015 to 16.12.2020. We employ univariate and panel GSADF recursive unit root tests for analytical purposes. Our results identify multiple periods of explosive price movements in the individual cryptocurrencies during the COVID-19 pandemic. Further, we find synchronised explosive behaviour in the prices of cryptocurrencies during the pandemic period. Our results indicate the possibility of herding in the cryptocurrency market.

Suggested Citation

  • Suvvari ANANDARAO & Balaga Mohana RAO & Anoop S KUMAR, 2023. "An enquiry into extreme price movements of the cryptocurrencies in the backdrop of COVID-19," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(2(635), S), pages 231-238, Summer.
    • Handle: RePEc:agr:journl:v:2(635):y:2023:i:2(635):p:231-238
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    References listed on IDEAS

    as
    1. Peter C. B. Phillips & Shuping Shi & Jun Yu, 2015. "Testing For Multiple Bubbles: Historical Episodes Of Exuberance And Collapse In The S&P 500," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 56(4), pages 1043-1078, November.
    2. da Gama Silva, Paulo Vitor Jordão & Klotzle, Marcelo Cabus & Pinto, Antonio Carlos Figueiredo & Gomes, Leonardo Lima, 2019. "Herding behavior and contagion in the cryptocurrency market," Journal of Behavioral and Experimental Finance, Elsevier, vol. 22(C), pages 41-50.
    3. Elie Bouri & Luis A. Gil‐Alana & Rangan Gupta & David Roubaud, 2019. "Modelling long memory volatility in the Bitcoin market: Evidence of persistence and structural breaks," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 24(1), pages 412-426, January.
    4. Peter C. B. Phillips & Shuping Shi & Jun Yu, 2015. "Testing For Multiple Bubbles: Historical Episodes Of Exuberance And Collapse In The S&P 500," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 56, pages 1043-1078, November.
    5. Peter C. B. Phillips & Jun Yu, 2011. "Dating the timeline of financial bubbles during the subprime crisis," Quantitative Economics, Econometric Society, vol. 2(3), pages 455-491, November.
    6. Xiong, Jinwu & Liu, Qing & Zhao, Lei, 2020. "A new method to verify Bitcoin bubbles: Based on the production cost," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
    7. Bouri, Elie & Gupta, Rangan & Roubaud, David, 2019. "Herding behaviour in cryptocurrencies," Finance Research Letters, Elsevier, vol. 29(C), pages 216-221.
    8. Bouri, Elie & Shahzad, Syed Jawad Hussain & Roubaud, David, 2019. "Co-explosivity in the cryptocurrency market," Finance Research Letters, Elsevier, vol. 29(C), pages 178-183.
    9. Geuder, Julian & Kinateder, Harald & Wagner, Niklas F., 2019. "Cryptocurrencies as financial bubbles: The case of Bitcoin," Finance Research Letters, Elsevier, vol. 31(C).
    10. Zheng-Zheng Li & Ran Tao & Chi-Wei Su & Oana-Ramona Lobonţ, 2019. "Does Bitcoin bubble burst?," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(1), pages 91-105, January.
    11. Ballis, Antonis & Drakos, Konstantinos, 2020. "Testing for herding in the cryptocurrency market," Finance Research Letters, Elsevier, vol. 33(C).
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