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dc.contributor.authorCorzo Santamaría, María Teresaes-ES
dc.contributor.authorMartín Bujack, Karin Alejandra Irenees-ES
dc.contributor.authorPortela González, Josées-ES
dc.contributor.authorSáenz-Díez Rojas, Rocíoes-ES
dc.date.accessioned2024-02-23T13:38:18Z
dc.date.available2024-02-23T13:38:18Z
dc.date.issued2022-11-01es_ES
dc.identifier.issn1059-0560es_ES
dc.identifier.urihttps:doi.org10.1016j.iref.2022.08.011es_ES
dc.descriptionArtículos en revistases_ES
dc.description.abstractes-ES
dc.description.abstractWe study the stock price efficiency of companies with exposure to the hydrogen economy. As hydrogen, a pillar of the energy transition required for the global society to achieve the Sustainable Development Goals for 2030, does not trade as a commodity, we use the Solactive Hydrogen Index NTR as a proxy. Efficiency is assessed through a fractal methodology, with data from November 2018 to June 2021. Additionally, we run a time-varying approach that improves the robustness of the efficiency estimates. We find random price behavior consistent with the weak version of the market efficiency hypothesis, with only slight departures from efficiency in some companies with higher hydrogen exposure. There is also evidence of time-varying behavior of randomness during the acute pandemic period. The study validates the Solactive Hydrogen Index as an adequate proxy for the hydrogen economy.en-GB
dc.format.mimetypeapplication/pdfes_ES
dc.language.isoen-GBes_ES
dc.rightses_ES
dc.rights.uries_ES
dc.sourceRevista: International Review of Economics & Finance, Periodo: 1, Volumen: online, Número: , Página inicial: 723, Página final: 742es_ES
dc.subject.otherInstituto de Investigación Tecnológica (IIT) - Innovación docente y Analytics (GIIDA)es_ES
dc.titleEarly market efficiency testing among hydrogen playerses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.description.versioninfo:eu-repo/semantics/publishedVersiones_ES
dc.rights.accessRightsinfo:eu-repo/semantics/restrictedAccesses_ES
dc.keywordses-ES
dc.keywordsHydrogen economy; ESG Investment; Efficient market hypothesis; Fractals; Long memory; Time series analysisen-GB


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