{"title":"Airline stock market performance and political relations: A cross-quantilogram analysis of Chinese and US carriers","authors":"Yifei Cai , Yahua Zhang , Yanrui Wu , Tsangyao Chang","doi":"10.1016/j.tranpol.2024.06.025","DOIUrl":null,"url":null,"abstract":"<div><p>This study focuses on examining the quantile dependence and directional predictability between airline stock returns and various political variables, including the US-China political relations, geopolitical risks, and partisan conflicts. To achieve these goals, a novel cross-quantilogram method is employed. The findings reveal that directional predictability is more pronounced when airline stock returns and the political environment experience extreme conditions. In addition, the US partisan conflicts index exhibits a more substantial influence on the dependence structure than the indexes of Sino-US political relations and geopolitical risks. Moreover, similarities are observed in the behavior of US airline stock returns given partisan conflicts and geopolitical risks. Finally, policy implications are provided.</p></div>","PeriodicalId":48378,"journal":{"name":"Transport Policy","volume":null,"pages":null},"PeriodicalIF":6.3000,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0967070X24001884/pdfft?md5=1924ef2728a8aaa94302d5dd9ed85c96&pid=1-s2.0-S0967070X24001884-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transport Policy","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0967070X24001884","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0
Abstract
This study focuses on examining the quantile dependence and directional predictability between airline stock returns and various political variables, including the US-China political relations, geopolitical risks, and partisan conflicts. To achieve these goals, a novel cross-quantilogram method is employed. The findings reveal that directional predictability is more pronounced when airline stock returns and the political environment experience extreme conditions. In addition, the US partisan conflicts index exhibits a more substantial influence on the dependence structure than the indexes of Sino-US political relations and geopolitical risks. Moreover, similarities are observed in the behavior of US airline stock returns given partisan conflicts and geopolitical risks. Finally, policy implications are provided.
期刊介绍：
Transport Policy is an international journal aimed at bridging the gap between theory and practice in transport. Its subject areas reflect the concerns of policymakers in government, industry, voluntary organisations and the public at large, providing independent, original and rigorous analysis to understand how policy decisions have been taken, monitor their effects, and suggest how they may be improved. The journal treats the transport sector comprehensively, and in the context of other sectors including energy, housing, industry and planning. All modes are covered: land, sea and air; road and rail; public and private; motorised and non-motorised; passenger and freight.
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