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Testing the diversifying asset hypothesis between clean energy stock indices and oil price

datacite.subject.sdg07:Energias Renováveis e Acessíveis
datacite.subject.sdg13:Ação Climática
datacite.subject.sdg08:Trabalho Digno e Crescimento Económico
dc.contributor.authorDias, Rui
dc.contributor.authorGalvão, Rosa
dc.contributor.authorCruz, Sandra P.
dc.contributor.authorIrfan, Mohammad
dc.contributor.authorAlexandre, Paulo
dc.contributor.authorGonçalves, Sidalina
dc.contributor.authorTeixeira, Nuno
dc.contributor.authorPalma, Cristina
dc.contributor.authorAlmeida, Liliana
dc.date.accessioned2026-03-25T15:41:44Z
dc.date.available2026-03-25T15:41:44Z
dc.date.issued2024-11-01
dc.description.abstractIn theory, geopolitical risk and political uncertainty can directly affect energy markets. Fluctuations lead to the cost of clean energy sources as they compete with traditional energy. The purpose of this study is to analyse financial integration and test the diversifying asset hypothesis between clean energy indices, specifically the Clean Energy Fuels (CLNE), Nasdaq Clean Edge Green Energy (CELS), S&P Global Clean Energy (SPGTCLEN), TISDALE Clean Energy (TCEC.CN), Wilderhill (ECO) and West Texas Intermediate (WTI) stock indices, over the period from 1 January 2018 to 23 November 2023. Analysing the results reveals a scenario where most of the clean energy indices show cointegration with each other, indicating long-term relationships that reflect common trends in the clean energy sector. However, the relative independence of the WTI suggests that Oil still acts as an important and potentially diversifying external factor for investors focused on sustainable energy. Structural breaks in 2021 and 2022 in several indices point to significant events that have altered market dynamics, possibly including changes in environmental policies, technological innovations and the impacts of the COVID-19 pandemic. The cointegration evidence and structural breaks provide valuable information for building investment portfolios. Investors can consider the WTI to diversify portfolios dominated by clean energy assets, taking advantage of Oil’s relative independence. On the other hand, the high correlation between clean energy indices suggests that, within this sector, diversification options are more limited, requiring careful analysis of the specific characteristics of each index and the macroeconomic forces affecting them.eng
dc.identifier.doi10.32479/ijeep.16988
dc.identifier.issn2146-4553
dc.identifier.urihttp://hdl.handle.net/10400.1/28542
dc.language.isoeng
dc.peerreviewedyes
dc.publisherEconJournals
dc.relation.ispartofInternational Journal of Energy Economics and Policy
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectClean energy indices
dc.subjectWTI
dc.subjectFinancial integration
dc.subjectLong memories
dc.subjectPortfolio diversification
dc.titleTesting the diversifying asset hypothesis between clean energy stock indices and oil priceeng
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage302
oaire.citation.issue6
oaire.citation.startPage295
oaire.citation.titleInternational Journal of Energy Economics and Policy
oaire.citation.volume14
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameCruz
person.givenNameSandra P.
person.identifier2123697
person.identifier.ciencia-id1513-2781-23A3
person.identifier.orcid0000-0001-5909-3684
person.identifier.ridIXN-8734-2023
person.identifier.scopus-author-id57214582876
relation.isAuthorOfPublication8b07af75-0b11-4c8d-a3ab-57a93e5f3d35
relation.isAuthorOfPublication.latestForDiscovery8b07af75-0b11-4c8d-a3ab-57a93e5f3d35

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