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dc.contributor.authorMarcos Cerón, Berta
dc.contributor.authorMonge Moreno, Manuel 
dc.date.accessioned2024-02-20T13:15:53Z
dc.date.available2024-02-20T13:15:53Z
dc.date.issued2023
dc.identifier.issn2227-7390spa
dc.identifier.urihttps://hdl.handle.net/10641/4053
dc.description.abstractThis paper analyzes the stochastic properties of consumer sentiment to understand how they affected the luxury sector in the United States before and after COVID-19. The results were derived using fractional integration methodologies and suggest that, before the pandemic episode, both variables were expected to be mean reverting and the shocks were transitory, having similar behavior. However, after the appearance of COVID-19, results suggest that consumer sentiment recovered before the luxury sector. Results from the use of cointegration methodologies show that the effects of COVID-19 disappeared in the short-run. Finally, the sentiment of consumers acts as a leading indicator of the behavior of the luxury sector according to wavelet analysis. Thus, an increase in consumer sentiment implies an increase of 3.6% in the luxury sector.spa
dc.language.isoengspa
dc.publisherMathematicsspa
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subjectLuxury sectorspa
dc.subjectConsumer sentimentspa
dc.subjectFractional integrationspa
dc.subjectFCVAR modelspa
dc.subjectWavelet analysisspa
dc.titleConsumer Sentiment and Luxury Behavior in the United States before and after COVID-19: Time Trends and Persistence Analysis.spa
dc.typejournal articlespa
dc.type.hasVersionAMspa
dc.rights.accessRightsopen accessspa
dc.description.extent1900 KBspa
dc.identifier.doi10.3390/math11163612spa
dc.relation.publisherversionhttps://www.mdpi.com/2227-7390/11/16/3612spa


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