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Sail Away to a Safe Harbor? COVID-19 Vaccinations and the Volatility of Travel and Leisure Companies

Author

Listed:
  • Ender Demir

    (Department of Business Administration, School of Social Sciences, Reykjavik University, Menntavegur 1, 102, 101 Reykjavik, Iceland)

  • Renatas Kizys

    (Department of Banking and Finance, Southampton Business School, University of Southampton, Room 1013, Building 4, Highfield Campus, Southampton SO17 1BJ, UK)

  • Wael Rouatbi

    (Montpellier Business School, 2300 Avenue des Moulins, CEDEX 4, 34185 Montpellier, France)

  • Adam Zaremba

    (Montpellier Business School, 2300 Avenue des Moulins, CEDEX 4, 34185 Montpellier, France
    Department of Investment and Financial Markets, Institute of Finance, Poznan University of Economics and Business, Al. Niepodległości 10, 61-875 Poznan, Poland)

Abstract

This paper examines the impact of vaccination programs on the stock market volatility of the travel and leisure sector. Using daily data from 56 countries over the period from January 2020 to March 2021, we find that vaccination leads to a decrease in the investment risk of travel and leisure companies. Vaccination results in a decrease in the volatility of stock prices of travel and leisure companies. The drop in volatility is robust to many alternative estimation techniques, different volatility measures, and various proxies for vaccinations. Moreover, this effect cannot be explained by an array of control variables; this includes the pandemic itself and both the containment and closure policies that followed. Furthermore, the beneficial role of vaccinations is relatively stronger in emerging markets than in developed ones.

Suggested Citation

  • Ender Demir & Renatas Kizys & Wael Rouatbi & Adam Zaremba, 2022. "Sail Away to a Safe Harbor? COVID-19 Vaccinations and the Volatility of Travel and Leisure Companies," JRFM, MDPI, vol. 15(4), pages 1-21, April.
    • Handle: RePEc:gam:jjrfmx:v:15:y:2022:i:4:p:182-:d:793954
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    References listed on IDEAS

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    1. Thierry Foucault & David Sraer & David J. Thesmar, 2011. "Individual Investors and Volatility," Journal of Finance, American Finance Association, vol. 66(4), pages 1369-1406, August.
    2. Manela, Asaf & Moreira, Alan, 2017. "News implied volatility and disaster concerns," Journal of Financial Economics, Elsevier, vol. 123(1), pages 137-162.
    3. Mele, Antonio, 2007. "Asymmetric stock market volatility and the cyclical behavior of expected returns," Journal of Financial Economics, Elsevier, vol. 86(2), pages 446-478, November.
    4. Fotiadis, Anestis & Polyzos, Stathis & Huan, Tzung-Cheng T.C., 2021. "The good, the bad and the ugly on COVID-19 tourism recovery," Annals of Tourism Research, Elsevier, vol. 87(C).
    5. Gerwe, Oksana, 2021. "The Covid-19 pandemic and the accommodation sharing sector: Effects and prospects for recovery," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
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