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Energy Economics ; 117, 2023.
Article in English | Scopus | ID: covidwho-2238803


This paper investigates the relationship between oil and airline stock returns under different time frequencies. First, we propose an Autoregressive moving average model with mixed frequency exogenous variable to analyse the different impacts of oil on airline stock returns on daily, weekly, and monthly basis. We consistently find a negative oil-airline stock return nexus on a daily basis, but a positive relationship on a weekly basis. While the former supports the economic-based channel, the latter is in line with the market inertia channel. Our findings help explain mixed results reported in the literature. Further, our time frequency connectedness analysis shows that the economic-based channel dominates the market inertia channel since the connectedness is more pronounced in the short-run compared to the medium- and long-run. Our block connectedness results highlight that business models of airline firms can play a significant role in affecting the connectedness, in which the low-cost airlines are more sensitive to the oil price changes. It is worth noting that there are distinguished drivers of the oil-airline stock return nexus in different time frequencies. The drivers also vary between the Global Financial Crisis and the COVID-19 pandemic. Our results are consistent under a battery of robustness checks and deliver important implications to investors, portfolio managers, and executives of airline firms. © 2022 Elsevier B.V.

Journal of Hospitality and Tourism Technology ; 2023.
Article in English | Scopus | ID: covidwho-2231899


Purpose: This paper aims to evaluate the impact of the COVID-19 pandemic on the performance of travel cryptocurrency and stock markets over a long period during the pandemic. Design/methodology/approach: A generalized autoregressive conditional heteroskedasticity model was developed for 6 travel cryptocurrencies and the top 10 hotel, 7 airline and 26 restaurant stocks listed on the NASDAQ stock exchange. An event-study approach was applied to the emergence of the novel coronavirus and its variant, Omicron. Additionally, abnormal returns of the respective assets in response to such events were estimated. Findings: Results indicated that the travel cryptocurrency market did not respond to the early stage of the pandemic, but NASDAQ hotel, restaurant and airline stocks revealed abnormal negative returns when the pandemic manifested in the USA. Upon the official US declaration of a pandemic, both cryptocurrencies and tourism stocks showed abnormal negative returns, but these were considerably greater among stocks than cryptocurrencies. Conversely, in response to the Omicron variant, only hotel, restaurant and airline stocks showed abnormal negative returns. Practical implications: These results imply that travel cryptocurrencies are a financial instrument independent of hotel, restaurant or airline stocks. Thus, adopting travel cryptocurrencies may help investors and businesses diversify risk during long-duration crises such as COVID-19. Originality/value: To the best of the author's knowledge, this paper is the first empirical study to investigate the impact of the COVID-19 pandemic on the recently emerging travel cryptocurrency market using an event-study approach to investigate how it differs from tourism stock performances. © 2023, Emerald Publishing Limited.