Year
2021
Country
United States
Language
English
Abstract
| This paper investigates the effects of COVID-19 pandemic-related uncertainty focusing on the US tourism subsectors, including airlines, hotels, restaurants, and travel companies. Using daily stock price data, we compute connectedness indices that quantify the financial distress in the tourism and hospitality industry and link these indices with a measure of COVID-19-induced uncertainty. Our empirical results show that some subsectors of tourism are affected more than others. The connectedness of tourism companies has severely increased after March 2020. Restaurants are the most heavily influenced subsectors of tourism, while airline companies come the next. Besides, our quantile regression suggests that higher quantile COVID-19 uncertainty index has more effect on the connectedness of tourism companies. Our results guide the policymakers and investors to detect the stress accumulated in each subsectors |
English
ISSN/ISBN
13548166
Volume
27
Select type of work
Name of the Journal
CIS Program Old
CIS publications
No
CIS Thesis
No
Status
Pending