Dynamic interrelationships among crude oil, green bond, and carbon markets: Evidence from fuzzy logic autoencoders

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dc.contributor.affiliationMarín-Rodríguez N.J., Programa de Ingeniería Financiera, Facultad de Ingenierías, Grupo de Investigación en Ingeniería Financiera GINIF, Universidad de Medellín, Antioquia, Medellín, 050026, Colombia
dc.contributor.affiliationBouri E., School of Business, Lebanese American University, Lebanon, Korea University Business School, Seoul, South Korea
dc.contributor.affiliationGonzález-Ruiz J.D., Grupo de Investigación en Finanzas y Sostenibilidad, Departamento de Economía, Universidad Nacional de Colombia, Sede Medellín, Medellín, 050034, Colombia
dc.contributor.affiliationBotero S., Departamento de Ingeniería de la Organización, Facultad de Minas, Universidad Nacional de Colombia—Sede Medellín, Medellín, 050034, Colombia
dc.contributor.affiliationPeña A., Grupo de Investigación en Información y Gestión, Escuela de Administración, Universidad EAFIT, Medellín, 050022, Colombia
dc.contributor.authorMarín-Rodríguez N.J.
dc.contributor.authorBouri E.
dc.contributor.authorGonzález-Ruiz J.D.
dc.contributor.authorBotero S.
dc.contributor.authorPeña A.
dc.date.accessioned2025-09-08T14:23:30Z
dc.date.available2025-09-08T14:23:30Z
dc.date.issued2025
dc.descriptionThis paper investigates the dynamic interrelationships among various markets covering crude oil, green bonds, and carbon emissions from January 2014 to October 2022, using a Fuzzy Logistic Autoencoder (FLAE) model, which elevates methodological sophistication and helps capturing intricate and complex relationships across the three markets. Different features of FLAE, such as identifying crossed lags and introducing a novel sigmoid-type activation function, enhance structural stability and establish the model as a reference for studying cross-temporal effects across markets. The key findings indicate that green bond returns negatively impact the returns of carbon emission allowances and Brent oil in the short and medium term. The impact of carbon emission allowance returns and oil returns on the forecast of green bond returns is comparatively trivial. Forecasting green bond returns is primarily driven by its short-term lags. These findings should be useful for portfolio managers in energy markets, environmentally conscious investors, and policy-makers concerned with financial sustainability amid the energy transition. © 2025 Elsevier B.V.
dc.identifier.doi10.1016/j.asoc.2025.113112
dc.identifier.instnameinstname:Universidad de Medellínspa
dc.identifier.issn15684946
dc.identifier.reponamereponame:Repositorio Institucional Universidad de Medellínspa
dc.identifier.repourlrepourl:https://repository.udem.edu.co/
dc.identifier.urihttp://hdl.handle.net/11407/9064
dc.language.isoeng
dc.publisher.facultyFacultad de Ingenieríasspa
dc.publisher.programIngeniería Financieraspa
dc.relation.citationvolume175
dc.relation.isversionofhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-105001826214&doi=10.1016%2fj.asoc.2025.113112&partnerID=40&md5=11cebb22ff34eaa6f082c6da7af4a787
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dc.rights.accesoRestricted access
dc.rights.accessrightsinfo:eu-repo/semantics/restrictedAccess
dc.sourceApplied Soft Computing
dc.sourceAppl. Soft Comput.
dc.sourceScopus
dc.subjectAutoencoders
dc.subjectCO₂ emission allowances
dc.subjectCrude oil prices
dc.subjectDeep learning
dc.subjectGreen bonds
dc.subjectMachine learning
dc.subjectSustainable finance
dc.subjectLow emission
dc.subjectAuto encoders
dc.subjectCarbon emissions
dc.subjectCarbon markets
dc.subjectCO₂ emission allowance
dc.subjectCrude oil prices
dc.subjectDeep learning
dc.subjectEmission allowances
dc.subjectGreen bond
dc.subjectMachine-learning
dc.subjectSustainable finance
dc.subjectCrude oil price
dc.titleDynamic interrelationships among crude oil, green bond, and carbon markets: Evidence from fuzzy logic autoencoders
dc.typeArticle
dc.type.localArtículospa
dc.type.versioninfo:eu-repo/semantics/publishedVersion

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