Spillover effects from news to travel and leisure stocks during the COVID-19 pandemic: Evidence from the time and frequency domains
被引:10
|
作者:
Wang, Ying
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h-index: 0
机构:
Cent South Univ, Sch Math & Stat, Changsha, Peoples R ChinaCent South Univ, Sch Math & Stat, Changsha, Peoples R China
Wang, Ying
[1
]
Zhang, Hongwei
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h-index: 0
机构:
Cent South Univ, Sch Math & Stat, Changsha, Peoples R China
Cent South Univ, Inst Met Resources Strategy, Changsha, Peoples R ChinaCent South Univ, Sch Math & Stat, Changsha, Peoples R China
Zhang, Hongwei
[1
,2
]
Gao, Wang
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h-index: 0
机构:
Hebei Univ Econ & Business, Sch Finance, Shijiazhuang, Hebei, Peoples R ChinaCent South Univ, Sch Math & Stat, Changsha, Peoples R China
Gao, Wang
[3
]
Yang, Cai
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机构:
Hunan Univ, Business Sch, Changsha, Peoples R ChinaCent South Univ, Sch Math & Stat, Changsha, Peoples R China
Yang, Cai
[4
]
机构:
[1] Cent South Univ, Sch Math & Stat, Changsha, Peoples R China
[2] Cent South Univ, Inst Met Resources Strategy, Changsha, Peoples R China
[3] Hebei Univ Econ & Business, Sch Finance, Shijiazhuang, Hebei, Peoples R China
[4] Hunan Univ, Business Sch, Changsha, Peoples R China
COVID-19;
news;
travel and leisure stock;
stock return and volatility;
time-frequency connectedness approach;
IMPULSE-RESPONSE ANALYSIS;
INVESTOR SENTIMENT;
MEDIA COVERAGE;
SOCIAL-MEDIA;
TOURISM;
RISK;
MARKETS;
IMPACT;
CONNECTEDNESS;
INFORMATION;
D O I:
10.1177/13548166211058497
中图分类号:
F [经济];
学科分类号:
02 ;
摘要:
The impact of the COVID-19 pandemic on tourism has received general attention in the literature, while the role of news during the pandemic has been ignored. Using a time-frequency connectedness approach, this paper focuses on the spillover effects of COVID-19-related news on the return and volatility of four regional travel and leisure (T&L) stocks. The results in the time domain reveal significant spillovers from news to T&L stocks. Specifically, in the return system, T&L stocks are mainly affected by media hype, while in the volatility system, they are mainly affected by panic sentiment. This paper also finds two risk contagion paths. The contagion index and Global T&L stock are the sources of these paths. The results in the frequency domain indicate that the shocks in the T&L industry are mainly driven by short-term fluctuations. The spillovers from news to T&L stocks and among these T&L stocks are stronger within 1 month.