The Impact of COVID-19 Cases on Stock Prices of Selected Companies Representing Tourism and Banking Sectors

Autor

DOI:

https://doi.org/10.18778/2391-6478.1.37.01

Słowa kluczowe:

Covid-19, Coronavirus, Stock Prices, EU Countries, ARDL

Abstrakt

The purpose of the article/hypothesis: The purpose of the article is to analyse the relationship between stock prices of selected companies and COVID-19 cases in those countries where the tourism and banking sectors have a high share of national income, such as Croatia, Italy and Spain.

Methodology: The methods used are Breakpoint Unit Root Tests to determine whether a time series is stationary or not, and ARDL cointegration technique for cointegration testing.

Results of the research: It was found that the number of COVID-19 cases negatively impacted the tourism and banking market in surveyed EU countries.

Pobrania

Brak dostępnych danych do wyświetlenia.

Bibliografia

Acikgoz O. and Gunay A. (2020), The Early Impact of The COVID-19 Pandemic on the Global and Turkish Economy, Turkish Journal of Medical Sciences, 50(SI-1), pp. 520–526.
Google Scholar DOI: https://doi.org/10.3906/sag-2004-6

Al‐Mughairi M. S. H., Bhaskar, P., Khalfan Hamood Alazri, A. (2021), The economic and social impact of COVID‐19 on tourism and hospitality industry: A case study from Oman, Journal of Public Affairs, pp. 1–11.
Google Scholar

Altay H. & Yilmaz A. (2016), Turkiye'de Ihracat Artislarinin Istihdam Uzerindeki Etkisinin Incelenmesi, Finans Politik ve Ekonomik Yorumlar Dergisi, pp. 75–86.
Google Scholar

Bai J. and Perron P. (1998), Estimating and Testing Linear Models with Multiple Structural Changes, Econometrica, 66(1), pp. 47–78.
Google Scholar DOI: https://doi.org/10.2307/2998540

Belloumi M. (2014), The Relationship Between Trade, FDI and Economic Growth in Tunisia: An application of the autoregressive distributed lag model, Economic Systems, 38(2), pp. 269-287.
Google Scholar DOI: https://doi.org/10.1016/j.ecosys.2013.09.002

Beyer R. C., Franco-Bedoya S. Galdo V. (2021), Examining the Economic Impact Of COVID-19 in India Through Daily Electricity Consumption and Night Time Light Intensity, World Development, pp. 1–13.
Google Scholar DOI: https://doi.org/10.1596/1813-9450-9291

Brown R. L., Durbin J., Evans J. M. (1975), Techniques for Testing the Constancy of Regression Relationships Over Time, Journal of the Royal Statistical Society, pp. 149-192.
Google Scholar DOI: https://doi.org/10.1111/j.2517-6161.1975.tb01532.x

Carrion-i-Silvestre J. L., Kim D., Perron P. (2009), GLS-Based Unit Root Tests with Multiple Structural Breaks Under Both the Null and the Alternative Hypotheses, Econometric Theory, pp. 1754–1792.
Google Scholar DOI: https://doi.org/10.1017/S0266466609990326

Carter D., Mazumder S., Simkins, B., Sisneros E. (2022), The Stock Price Reaction of The COVID-19 Pandemic On The Airline, Hotel, And Tourism Industries, Finance Research Letters, pp. 1–15.
Google Scholar DOI: https://doi.org/10.2139/ssrn.3838925

De la Fuente A. (2021), The Economic Consequences of COVID in Spain and How to Deal With Them, Applied Economic Analysis, pp. 90–104.
Google Scholar DOI: https://doi.org/10.1108/AEA-11-2020-0158

Duasa J. (2007), Determinants of Malaysian Trade Balance: An ARDL Bound Testing Approach, Global Economic Review, 36(1), pp. 89-102.
Google Scholar DOI: https://doi.org/10.1080/12265080701217405

Erdogan S. and Dayan V. (2019), Analysis of Relationship Between International Interest Rates and Cryptocurrency Prices: Case for Bitcoin and LIBOR, Blockchain Economics and Financial Market Innovation. Financial Innovations in the Digital Age. Editor: Umit Hacioglu, Springer, Switzerland.
Google Scholar DOI: https://doi.org/10.1007/978-3-030-25275-5_24

Erdogan S. & Tatar H. E. (2021), Turkiye’de Uluslararasi Portföy Yatirimlarinin Icsel Faktorleri Uzerine Ardl Analizi. Uluslararasi Ekonomi ve Siyaset Bilimleri Akademik Arastirmalar Dergisi, 5(12), pp. 1–17.
Google Scholar

Fezzi C. and Fanghella V. (2020), Real-time Estimation of The Short-Run Impact of COVID-19 on Economic Activity Using Electricity Market Data, Environmental and Resource Economics, 76(4), pp. 885–900.
Google Scholar DOI: https://doi.org/10.1007/s10640-020-00467-4

Ganie I. R., Wani T. A., Yadav M. P. (2022), Impact Of COVID-19 Outbreak on the Stock Market: An Evidence From Select Economies, Business Perspectives and Research, pp. 1–15.
Google Scholar DOI: https://doi.org/10.1177/22785337211073635

Gormsen N. J. and Koijen R. S. (2020), Coronavirus: Impact on Stock Prices and Growth Expectations, The Review of Asset Pricing Studies, 10(4), pp. 574–597.
Google Scholar DOI: https://doi.org/10.1093/rapstu/raaa013

Goswami B., Mandal R., Nath H. K. (2021), COVID-19 Pandemic and Economic Performances of the States in India, Economic Analysis and Policy, pp. 461–479.
Google Scholar DOI: https://doi.org/10.1016/j.eap.2021.01.001

Haacker M. (2004), The impact of HIV/AIDS on Government Finance and Public Services, The Macroeconomics of HIV/AIDS.
Google Scholar

Harris R. and Sollis R. (2003), Applied Time Series Modelling And Forecasting, Wiley.
Google Scholar

Henseler M., Maisonnave H., Maskaeva A. (2022), Economic impacts of COVID-19 on the tourism sector in Tanzania, Annals of Tourism Research Empirical Insights, pp. 1–12.
Google Scholar DOI: https://doi.org/10.1016/j.annale.2022.100042

Hyndman R.J. and Athanasopoulos G. (2018), Forecasting: Principles and Practice, 2nd Edition, Otexts.
Google Scholar

IFC (2021), The Early Impact of COVID-19 on Financial Institutions, International Financial Corporation.
Google Scholar

Just M. and Echaust, K. (2021), Stock Market Returns, Volatility, Correlation and Liquidity During the COVID-19 Crisis: Evidence from the Markov switching approach, Finance Research Letters, pp. 1–8
Google Scholar DOI: https://doi.org/10.1016/j.frl.2020.101775

Kapetanios G. (2005), Unit-Root Testing Against the Alternative Hypothesis of up to M Structural Breaks, Journal of Time Series Analysis, 26(1), pp. 123–133.
Google Scholar DOI: https://doi.org/10.1111/j.1467-9892.2005.00393.x

Kordestani A., Pashkevich, N., Oghazi, P., Sahamkhadam, M., Sohrabpour, V. (2022), Effects Of The COVID-19 Pandemic on Stock Price Performance Of Blockchain-Based Companies, Economic Research-Ekonomska Istraživanja, 35(1), pp. 3206–3224.
Google Scholar DOI: https://doi.org/10.1080/1331677X.2021.1986676

Korinth B. (2022), Impact Of The COVID-19 Pandemic On International Tourism Income In Tourism Receiving Countries, Sustainability, pp. 1–12.
Google Scholar DOI: https://doi.org/10.3390/su141912550

Lasaulce S., Zhang C., Varma V., Morărescz I. C. (2021), Analysis Of The Tradeoff Between Health and Economic Impacts of the COVID-19 Epidemic, Frontiers in Public Health, no. 9 pp. 1–13.
Google Scholar DOI: https://doi.org/10.3389/fpubh.2021.620770

Latorre G. (2020), Standing Firm on Shifting Sands, Global banking M&A Outlook H2 2020, KPMG International.
Google Scholar

Lau L. J.(2020), The Impacts of the Trade War and the COVID-19 Epidemic on China-US Economic Relations, China Review, 20(4), pp. 1–38.
Google Scholar

Lee J., and Strazicich M. C. (2003), Minimum Lagrange Multiplier Unit Root Test with Two Structural Breaks, Review of Economics and Statistics, 85(4), pp, 1082–1089.
Google Scholar DOI: https://doi.org/10.1162/003465303772815961

Lee J. & Strazicich M. C. (2004), Minimum Lagrange Multiplier Unit Root Test with One Structural Break, Department of Economics Working Papers, no. 04-17.
Google Scholar

Liu Y., Cheng X., Liao S. S., Yang F. (2022), The Impact of COVID-19 on the Tourism and Hospitality Industry: Evidence From International Stock Markets, The North American Journal of Economics and Finance, pp. 1–23.
Google Scholar DOI: https://doi.org/10.1016/j.najef.2022.101875

Lumsdaine R. L. and Papell D. H. (1997), Multiple Trend Breaks and the Unit-Root Hypothesis, Review of economics and Statistics, 79(2), pp. 212–218.
Google Scholar DOI: https://doi.org/10.1162/003465397556791

Mele M. and Magazzino C. (2021), Pollution, Economic Growth, And COVID-19 Deaths In India: Machine Learning Evidence, Environmental Science and Pollution Research, 28(3), pp. 2669–2677.
Google Scholar DOI: https://doi.org/10.1007/s11356-020-10689-0

Ng S. and Perron P. (2001), Lag Length Selection and The Construction of Unit Root Tests with Good Size And Power, Econometrica, 69(6), pp. 1519–1554.
Google Scholar DOI: https://doi.org/10.1111/1468-0262.00256

Nkoro E. and Uko A. K. (2016), Autoregressive Distributed Lag (ARDL) Cointegration Technique: Application and Interpretation, Journal of Statistical and Econometric Methods, vol. 5(4), pp. 63–91.
Google Scholar

Ogundepo E., Folorunso S., Adekanmbi O., Akinsande O., Banjo O., Ogbuju E., Babajide O. (2020), An Exploratory Assessment of a Multidimensional Healthcare and Economic Data on COVID-19 In Nigeria, Data in Brief, pp. 1–14.
Google Scholar DOI: https://doi.org/10.1016/j.dib.2020.106424

Paprottka F. J., Rolfes S. B., Richter D. F., Kaye K. O. (2021), COVID-19 Pandemic: Evaluation of Socio-Economic Impact on Aesthetic Plastic Surgery Providers, Aesthetic Plastic Surgery, pp. 1877–1887.
Google Scholar DOI: https://doi.org/10.1007/s00266-021-02130-9

Pata U. K. (2020), COVID-19 Induced Economic Uncertainty: A Comparison Between the United Kingdom and the United States, Ekonomika, 99(2), pp. 104–115.
Google Scholar DOI: https://doi.org/10.15388/Ekon.2020.2.7

Perron P. (1989), The Great Crash, the Oil Price Shock, And the Unit Root Hypothesis, Econometrica: Journal of the Econometric Society, pp. 1361-1401.
Google Scholar DOI: https://doi.org/10.2307/1913712

Perron P. (1997), Further Evidence on Breaking Trend Functions in Macroeconomic Variables, Journal of Econometrics, 80(2), pp. 355–385.
Google Scholar DOI: https://doi.org/10.1016/S0304-4076(97)00049-3

Pesaran M. H. & Shin Y. (1998), An Autoregressive Distributed-Lag Modelling Approach to Cointegration Analysis, Econometric Society Monographs, pp. 371–413.
Google Scholar DOI: https://doi.org/10.1017/CBO9781139052221.011

Pesaran M. H., Shin Y., Smith R. J. (2001), Bounds Testing Approaches to the Analysis Of Level Relationships, Journal of Applied Econometrics, 16(3), pp. 289–326.
Google Scholar DOI: https://doi.org/10.1002/jae.616

Ramelli S. and Wagner A. F. (2020), Feverish Stock Price Reactions to COVID-19, The Review of Corporate Finance Studies, 9(3), pp. 622–655.
Google Scholar DOI: https://doi.org/10.1093/rcfs/cfaa012

Rasheed R., Rizwan A., Javed H., Sharif F., Zaidi A. (2021), Socio-Economic and Environmental Impacts Of COVID-19 Pandemic in Pakistan an Integrated Analysis, Environmental Science and Pollution Research, 28(16), pp. 19926–19943.
Google Scholar DOI: https://doi.org/10.1007/s11356-020-12070-7

Shakil M. H., Tasnia M., Saiti B. (2018), Is Gold A Hedge or a Safe Haven? An Application of ARDL Approach, Journal of Economics, Finance and Administrative Science, 23(44), pp. 60-76.
Google Scholar DOI: https://doi.org/10.1108/JEFAS-03-2017-0052

Shrestha M. B. (2006), ARDL Modelling Approach to Cointegration Test. University of Wollongong, New South Wales, Australia and Nepal Rastra Bank – the Central bank of Nepal.
Google Scholar

UNWTO (2021), Recommendations for the Transition to a Green Travel and Tourism Economy, World Tourism Organization.
Google Scholar

Wang C. H. (2020), A Three-Level Health Inspection Queue Based on Risk Screening Management Mechanism for Post-COVID Global Economic Recovery, IEEE Access, pp. 177604–177614.
Google Scholar DOI: https://doi.org/10.1109/ACCESS.2020.3026786

Wang Q. and Han X. (2021), Spillover Effects of The United States Economic Slowdown Induced by COVID-19 Pandemic on Energy, Economy, And Environment In Other Countries, Environmental Research, pp. 1–10.
Google Scholar DOI: https://doi.org/10.1016/j.envres.2021.110936

Wang Q. and Zhang F. (2021), What Does the China's Economic Recovery after COVID-19 Pandemic Mean for The Economic Growth and Energy Consumption of Other Countries?, Journal of Cleaner Production, pp. 1–20.
Google Scholar DOI: https://doi.org/10.1016/j.jclepro.2021.126265

Yach D., Stuckler D., Brownell K. D. (2006), Epidemiologic and Economic Consequences of The Global Epidemics of Obesity and Diabetes, Nature medicine, 12(1), pp. 62–66.
Google Scholar DOI: https://doi.org/10.1038/nm0106-62

Yoon Y. H. (2021), The Macroeconomic Implications of The COVID-19 Economic Crisis, Investigación Económica, 80(316), pp. 5–31.
Google Scholar DOI: https://doi.org/10.22201/fe.01851667p.2021.316.78971

Zivot E. and Andrews D. W. K. (1992), Further Evidence on the Great Crash, the Oil-Price Shock and the Unit-Root Hypothesis, Journal of Business & Economic Statistics, 20(1), pp. 25–44.
Google Scholar DOI: https://doi.org/10.1198/073500102753410372

(www1) Yahoo Finance – https://finance.yahoo.com/ [Accessed 24.06.2021].
Google Scholar

(www2) Our World in Data – https://ourworldindata.org/coronavirus [Accessed 24.07.2021].
Google Scholar

Opublikowane

2023-03-27

Jak cytować

Dayan, V., Bolek, M., & Trinidad-Segovia, J. E. (2023). The Impact of COVID-19 Cases on Stock Prices of Selected Companies Representing Tourism and Banking Sectors. Finanse I Prawo Finansowe, 1(37), 7–31. https://doi.org/10.18778/2391-6478.1.37.01

Numer

Dział

Artykuł

Inne teksty tego samego autora