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The Tourism Industry’s Performance During the Years of the COVID-19 Pandemic

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  • Theodoros Daglis

    (University of Aegean
    Agricultural University of Athens)

Abstract

In this work, the effect of the COVID-19 pandemic on the major tourism-related cryptocurrencies is investigated. More precisely, the variable lag causality is used, to test whether data related to the pandemic and more precisely, confirmed cases and lockdown stringency index, cause the cryptocurrencies from the field of tourism. Then, a possible long-run relationship is tested, employing the multifractal detrended cross-correlation analysis, and finally, a time-varying regression model through a Bayesian framework is structured. According to the results, the COVID-19 pandemic had a diverse impact, of different magnitude, on the tourism-related cryptocurrencies for the years of the pandemic examined. This paper is the first to examine the impact of the pandemic on tourism, through the financial performance of the relevant cryptocurrencies related to this sector, also comparing the various years of the pandemic.

Suggested Citation

  • Theodoros Daglis, 2024. "The Tourism Industry’s Performance During the Years of the COVID-19 Pandemic," Computational Economics, Springer;Society for Computational Economics, vol. 63(3), pages 1173-1189, March.
    • Handle: RePEc:kap:compec:v:63:y:2024:i:3:d:10.1007_s10614-023-10442-y
    DOI: 10.1007/s10614-023-10442-y
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    References listed on IDEAS

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    1. Andrei O. J. Kwok & Sharon G. M. Koh, 2019. "Is blockchain technology a watershed for tourism development?," Current Issues in Tourism, Taylor & Francis Journals, vol. 22(20), pages 2447-2452, December.
    2. Theodoros Daglis, 2022. "The dynamic relationship of cryptocurrencies with supply chain and logistics stocks – the impact of COVID-19," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 50(4), pages 840-857, July.
    3. Carter, David & Mazumder, Sharif & Simkins, Betty & Sisneros, Eric, 2022. "The stock price reaction of the COVID-19 pandemic on the airline, hotel, and tourism industries," Finance Research Letters, Elsevier, vol. 44(C).
    4. B. Podobnik & I. Grosse & D. Horvatić & S. Ilic & P. Ch. Ivanov & H. E. Stanley, 2009. "Quantifying cross-correlations using local and global detrending approaches," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 71(2), pages 243-250, September.
    5. Bitto, Angela & Frühwirth-Schnatter, Sylvia, 2019. "Achieving shrinkage in a time-varying parameter model framework," Journal of Econometrics, Elsevier, vol. 210(1), pages 75-97.
    6. Chia-Lin Chang & Michael McAleer & Vicente Ramos, 2020. "A Charter for Sustainable Tourism after COVID-19," Sustainability, MDPI, vol. 12(9), pages 1-4, May.
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