The impact of the COVID-19 outbreak on Chinese-listed tourism stocks

This research explored the effects of the coronavirus disease (COVID-19) outbreak on stock price movements of China’s tourism industry by using an event study method. The results showed that the crisis negatively impacted tourism sector stocks. Further quantile regression analyses supported the non-...

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Detalles Bibliográficos
Autores principales: Wu, Wenmin, Lee, Chien-Chiang, Xing, Wenwu, Ho, Shan-Ju
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8017117/
https://www.ncbi.nlm.nih.gov/pubmed/35024277
http://dx.doi.org/10.1186/s40854-021-00240-6
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author Wu, Wenmin
Lee, Chien-Chiang
Xing, Wenwu
Ho, Shan-Ju
author_facet Wu, Wenmin
Lee, Chien-Chiang
Xing, Wenwu
Ho, Shan-Ju
author_sort Wu, Wenmin
collection PubMed
description This research explored the effects of the coronavirus disease (COVID-19) outbreak on stock price movements of China’s tourism industry by using an event study method. The results showed that the crisis negatively impacted tourism sector stocks. Further quantile regression analyses supported the non-linear relationship between the government’s responses and stock returns. The results present that the resurgence of the virus in Beijing did bring about a short-term negative impact on the tourism industry. The empirical results can be used for future researchers to conduct a comparative study of cultural differences concerning government responses to the COVID-19.
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spelling pubmed-80171172021-04-02 The impact of the COVID-19 outbreak on Chinese-listed tourism stocks Wu, Wenmin Lee, Chien-Chiang Xing, Wenwu Ho, Shan-Ju Financ Innov Research This research explored the effects of the coronavirus disease (COVID-19) outbreak on stock price movements of China’s tourism industry by using an event study method. The results showed that the crisis negatively impacted tourism sector stocks. Further quantile regression analyses supported the non-linear relationship between the government’s responses and stock returns. The results present that the resurgence of the virus in Beijing did bring about a short-term negative impact on the tourism industry. The empirical results can be used for future researchers to conduct a comparative study of cultural differences concerning government responses to the COVID-19. Springer Berlin Heidelberg 2021-04-02 2021 /pmc/articles/PMC8017117/ /pubmed/35024277 http://dx.doi.org/10.1186/s40854-021-00240-6 Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Research
Wu, Wenmin
Lee, Chien-Chiang
Xing, Wenwu
Ho, Shan-Ju
The impact of the COVID-19 outbreak on Chinese-listed tourism stocks
title The impact of the COVID-19 outbreak on Chinese-listed tourism stocks
title_full The impact of the COVID-19 outbreak on Chinese-listed tourism stocks
title_fullStr The impact of the COVID-19 outbreak on Chinese-listed tourism stocks
title_full_unstemmed The impact of the COVID-19 outbreak on Chinese-listed tourism stocks
title_short The impact of the COVID-19 outbreak on Chinese-listed tourism stocks
title_sort impact of the covid-19 outbreak on chinese-listed tourism stocks
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8017117/
https://www.ncbi.nlm.nih.gov/pubmed/35024277
http://dx.doi.org/10.1186/s40854-021-00240-6
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