COVID-19 and tourism sector stock price in Spain: medium-term relationship through dynamic regression models.

Isabel Carrillo-Hidalgo, Juan Ignacio Pulido-Fernández, José Luis Durán-Román, Jairo Casado-Montilla
Author Information
  1. Isabel Carrillo-Hidalgo: Laboratory of Analysis and Innovation in Tourism, University of Jaén, Paraje Las Lagunillas S/N, D3-134, 23071 Jaén, Spain. ORCID
  2. Juan Ignacio Pulido-Fernández: Laboratory of Analysis and Innovation in Tourism, University of Jaén, Paraje Las Lagunillas S/N, D3-273, 23071 Jaén, Spain.
  3. José Luis Durán-Román: Laboratory of Analysis and Innovation in Tourism, University of Jaén, Paraje Las Lagunillas S/N, D3-217, 23071 Jaén, Spain.
  4. Jairo Casado-Montilla: Laboratory of Analysis and Innovation in Tourism, University of Jaén, Paraje Las Lagunillas S/N, D3-273, 23071 Jaén, Spain.

Abstract

The global pandemic, coronavirus disease 2019 (COVID-19), has significantly affected tourism, especially in Spain, as it was among the first countries to be affected by the pandemic and is among the world's biggest tourist destinations. Stock market values are responding to the evolution of the pandemic, especially in the case of tourist companies. Therefore, being able to quantify this relationship allows us to predict the effect of the pandemic on shares in the tourism sector, thereby improving the response to the crisis by policymakers and investors. Accordingly, a dynamic regression model was developed to predict the behavior of shares in the Spanish tourism sector according to the evolution of the COVID-19 pandemic in the medium term. It has been confirmed that both the number of deaths and cases are good predictors of abnormal stock prices in the tourism sector.

Keywords

References

  1. Int Rev Financ Anal. 2018 Mar;56:153-166 [PMID: 38620259]
  2. Front Psychol. 2022 Feb 28;12:763346 [PMID: 35295935]
  3. Eur J Clin Invest. 2020 Mar 23;:e13223 [PMID: 32202659]
  4. Ann Tour Res. 2021 Jul;89:103080 [PMID: 33100432]
  5. J Behav Exp Finance. 2020 Sep;27:100343 [PMID: 32427152]
  6. Ann Tour Res. 2018 May;70:76-87 [PMID: 32572288]
  7. Ann Tour Res. 2020 Jul;83:102990 [PMID: 32834220]
  8. Psychon Bull Rev. 2004 Feb;11(1):192-6 [PMID: 15117008]
  9. Waste Manag. 2013 Dec;33(12):2589-93 [PMID: 24001553]
  10. Technol Forecast Soc Change. 2021 Feb;163:120469 [PMID: 35721368]
  11. Int J Environ Res Public Health. 2020 Apr 18;17(8): [PMID: 32325710]
  12. Financ Res Lett. 2021 Jan;38:101838 [PMID: 36569651]
  13. J Behav Exp Finance. 2020 Sep;27:100326 [PMID: 32292707]
  14. Financ Res Lett. 2021 Jan;38:101690 [PMID: 32837377]
  15. Financ Res Lett. 2022 Jan;44:102047 [PMID: 35013674]
  16. Int J Hosp Manag. 2007 Mar;26(1):200-212 [PMID: 32287849]
  17. Res Int Bus Finance. 2020 Dec;54:101249 [PMID: 34170989]
  18. Int J Hosp Manag. 2011 Mar;30(1):200-212 [PMID: 32287854]
  19. Ann Tour Res. 2004 Jul;31(3):716-719 [PMID: 32572281]
  20. Financ Innov. 2021;7(1):22 [PMID: 35024277]
  21. Financ Innov. 2022;8(1):69 [PMID: 35814528]

Word Cloud

Created with Highcharts 10.0.0pandemictourismCOVID-19sectorregressionstockaffectedespeciallySpainamongtouristStockevolutionrelationshippredictsharesdynamicmodelsglobalcoronavirusdisease2019significantlyfirstcountriesworld'sbiggestdestinationsmarketvaluesrespondingcasecompaniesThereforeablequantifyallowsuseffecttherebyimprovingresponsecrisispolicymakersinvestorsAccordinglymodeldevelopedbehaviorSpanishaccordingmediumtermconfirmednumberdeathscasesgoodpredictorsabnormalpricespriceSpain:medium-termDynamicexchangeTourism

Similar Articles

Cited By