IDEAS home Printed from https://ideas.repec.org/a/taf/rcitxx/v25y2022i23p3783-3798.html
   My bibliography  Save this article

Influence of COVID-19 pandemic on the tourism sector: evidence from China and United States stocks

Author

Listed:
  • Wang Yiwei
  • Khakan Najaf
  • Guilherme F. Frederico
  • Osama F. Atayah

Abstract

The coronavirus disease (COVID-19) has adversely impacted the globally interconnected economy and brought the tourism sector to a temporary standstill. As such, this study aimed to investigate the spillover effect of industrial sectors by emphasizing the tourism sector. The study data was gathered from China and The United States (US) between 2019 and 2020 (pandemic period) using the Multivariate Generalised Autoregressive Conditional Heteroscedastic-Dynamic Conditional Correlation (MGARCH-DCC) and Wavelet Coherence Transform (CWT) techniques to analyse the investment holding period. Country-wise, the sectoral return volatility in China was significantly higher than the US counterpart. Additionally, the intra-sector correlation analyses demonstrated that Chinese sectors successfully mitigated the intra-sector correction in the last quarter of 2019. A short-term holding period was also suggested for investors in China while a long-term counterpart was recommended for investors in the US. Regarding the Chinese and US industrial sectors in the first quarter of 2020, it was mutually concluded that both country stocks reflected high volatility. The tourism sector was also negatively affected throughout the pandemic period (between 2019 and 2020). Essentially, this study offered practical contributions to investors, mutual fund holders, and brokers.

Suggested Citation

  • Wang Yiwei & Khakan Najaf & Guilherme F. Frederico & Osama F. Atayah, 2022. "Influence of COVID-19 pandemic on the tourism sector: evidence from China and United States stocks," Current Issues in Tourism, Taylor & Francis Journals, vol. 25(23), pages 3783-3798, December.
  • Handle: RePEc:taf:rcitxx:v:25:y:2022:i:23:p:3783-3798
    DOI: 10.1080/13683500.2021.1972944
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/13683500.2021.1972944
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/13683500.2021.1972944?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.

    More about this item

    Statistics

    Access and download statistics

    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:taf:rcitxx:v:25:y:2022:i:23:p:3783-3798. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/rcit .

    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.