IDEAS home Printed from https://ideas.repec.org/a/kap/compec/v63y2024i3d10.1007_s10614-023-10442-y.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10614-023-10442-y
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10614-023-10442-y?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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. 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.
    3. 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.
    4. 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).
    5. 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.
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yuo-Hsien Shiau & Su-Fen Yang & Rishan Adha & Syamsiyatul Muzayyanah, 2022. "Modeling Industrial Energy Demand in Relation to Subsector Manufacturing Output and Climate Change: Artificial Neural Network Insights," Sustainability, MDPI, vol. 14(5), pages 1-18, March.
    2. Fang, Sheng & Lu, Xinsheng & Li, Jianfeng & Qu, Ling, 2018. "Multifractal detrended cross-correlation analysis of carbon emission allowance and stock returns," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 509(C), pages 551-566.
    3. Kakinaka, Shinji & Umeno, Ken, 2021. "Exploring asymmetric multifractal cross-correlations of price–volatility and asymmetric volatility dynamics in cryptocurrency markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 581(C).
    4. Yip, Pick Schen & Brooks, Robert & Do, Hung Xuan & Nguyen, Duc Khuong, 2020. "Dynamic volatility spillover effects between oil and agricultural products," International Review of Financial Analysis, Elsevier, vol. 69(C).
    5. Ruan, Qingsong & Bao, Junjie & Zhang, Manqian & Fan, Limin, 2019. "The effects of exchange rate regime reform on RMB markets: A new perspective based on MF-DCCA," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 522(C), pages 122-134.
    6. Wang, Dong-Hua & Yu, Xiao-Wen & Suo, Yuan-Yuan, 2012. "Statistical properties of the yuan exchange rate index," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(12), pages 3503-3512.
    7. Wu, Yue & Shang, Pengjian & Chen, Shijian, 2019. "Modified multifractal large deviation spectrum based on CID for financial market system," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 523(C), pages 1331-1342.
    8. Zhuang, Xiaoyang & Wei, Yu & Ma, Feng, 2015. "Multifractality, efficiency analysis of Chinese stock market and its cross-correlation with WTI crude oil price," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 430(C), pages 101-113.
    9. Da Van Huynh & Thuy Thi Kim Truong & Long Hai Duong & Nhan Trong Nguyen & Giang Vu Huong Dao & Canh Ngoc Dao, 2021. "The COVID-19 Pandemic and Its Impacts on Tourism Business in a Developing City: Insight from Vietnam," Economies, MDPI, vol. 9(4), pages 1-17, November.
    10. Manimaran, P. & Narayana, A.C., 2018. "Multifractal detrended cross-correlation analysis on air pollutants of University of Hyderabad Campus, India," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 502(C), pages 228-235.
    11. El Alaoui, Marwane & Benbachir, Saâd, 2013. "Multifractal detrended cross-correlation analysis in the MENA area," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(23), pages 5985-5993.
    12. Zhai, Lu-Sheng & Liu, Ruo-Yu, 2019. "Local detrended cross-correlation analysis for non-stationary time series," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 513(C), pages 222-233.
    13. Salinas Fernández, José Antonio & Guaita Martínez, José Manuel & Martín Martín, José María, 2022. "An analysis of the competitiveness of the tourism industry in a context of economic recovery following the COVID19 pandemic," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    14. Charfeddine, Lanouar & Guégan, Dominique, 2012. "Breaks or long memory behavior: An empirical investigation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(22), pages 5712-5726.
    15. Łukasz Mamica & Jakub Głowacki & Kamil Makieła, 2021. "Determinants of the Energy Poverty of Polish Students during the COVID-19 Pandemic," Energies, MDPI, vol. 14(11), pages 1-15, June.
    16. Wang, Guochao & Zheng, Shenzhou & Wang, Jun, 2019. "Complex and composite entropy fluctuation behaviors of statistical physics interacting financial model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 517(C), pages 97-113.
    17. Xi, Caiping & Zhang, Shuning & Xiong, Gang & Zhao, Huichang & Yang, Yonghong, 2017. "Two-dimensional multifractal cross-correlation analysis," Chaos, Solitons & Fractals, Elsevier, vol. 96(C), pages 59-69.
    18. Hauzenberger, Niko, 2021. "Flexible Mixture Priors for Large Time-varying Parameter Models," Econometrics and Statistics, Elsevier, vol. 20(C), pages 87-108.
    19. Roume, C. & Almurad, Z.M.H. & Scotti, M. & Ezzina, S. & Blain, H. & Delignières, D., 2018. "Windowed detrended cross-correlation analysis of synchronization processes," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 1131-1150.
    20. Wang, Gang-Jin & Xie, Chi, 2013. "Cross-correlations between Renminbi and four major currencies in the Renminbi currency basket," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(6), pages 1418-1428.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:kap:compec:v:63:y:2024:i:3:d:10.1007_s10614-023-10442-y. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.