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The Impact of the COVID-19 Pandemic on the Cryptocurrency Market

Author

Listed:
  • Nidhal Mgadmi

    (Faculty of Economics and Management of Mahdia, University of Monastir)

  • Azza Béjaoui

    (Higher Institute of Management of Tunis, University of Tunis)

  • Wajdi Moussa

    (Higher Institute of Management of Tunis, University of Tunis)

  • Tarek Sadraoui

    (Faculty of Economics and Management of Mahdia, University of Monastir)

Abstract

The purpose of our paper is to analyze the main factors which influence fiscal balance’s evolution and thereby identify solutions for configuring a sustainable fiscal policy. We have selected as independent variables some of the main macroeconomic measures, respectively public debt, unemployment rate, economy openness degree, population, consumer goods’ price index, current account balance, direct foreign investments and economic growth rate. Our research method uses two econometric models applied on a sample of 22 countries, respectively 14 developed and 8 emergent. The first model is a multiple regression and studies the connection between the fiscal balance and selected independent variables, whereas the second one uses first order differences and introduces economic freedom as a dummy variable to catch the dynamic influences of selected measures upon fiscal result. The time interval considered was 1999-2013. The results generated using the two models revealed that public debt, current account balance and economic growth significantly influence the fiscal balance. As a consequence, the governments need to plan and implement a fiscal policy which resonates with economy priorities and the phase of the economic cycle, as well as ensure a proper management of the public debt, stimulate sustainable economic growth and employment.

Suggested Citation

  • Nidhal Mgadmi & Azza Béjaoui & Wajdi Moussa & Tarek Sadraoui, 2022. "The Impact of the COVID-19 Pandemic on the Cryptocurrency Market," Scientific Annals of Economics and Business (continues Analele Stiintifice), Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, vol. 69(3), pages 343-359, September.
    • Handle: RePEc:aic:saebjn:v:69:y:2022:i:3:p:343-359:n:2
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    References listed on IDEAS

    as
    1. Dickey, David A & Fuller, Wayne A, 1981. "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root," Econometrica, Econometric Society, vol. 49(4), pages 1057-1072, June.
    2. Chi, Yeguang & Hao, Wenyan, 2021. "Volatility models for cryptocurrencies and applications in the options market," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 75(C).
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    Cited by:

    1. Ştefan Cristian Gherghina & Liliana Nicoleta Simionescu, 2023. "Exploring the asymmetric effect of COVID-19 pandemic news on the cryptocurrency market: evidence from nonlinear autoregressive distributed lag approach and frequency domain causality," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-58, December.

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