Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/221619
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dc.contributor.authorAlaminos Aguilera, David-
dc.contributor.authorSalas Compas, M. Belén-
dc.contributor.authorFernández-Gámez, Manuel A.-
dc.date.accessioned2025-06-18T08:45:39Z-
dc.date.available2025-06-18T08:45:39Z-
dc.date.issued2024-04-17-
dc.identifier.issn2029-4913-
dc.identifier.urihttps://hdl.handle.net/2445/221619-
dc.description.abstractInvestment in foreign countries has become more common nowadays and this implies that there may be risks inherent to these investments, being the sovereign risk premium the measure of such risk. Many studies have examined the behaviour of the sovereign risk premium, nevertheless, there are limitations to the current models and the literature calls for further investigation of the issue as behavioural factors are necessary to analyse the investor’s risk perception.-
dc.format.extent30 p.-
dc.format.mimetypeapplication/pdf-
dc.language.isoeng-
dc.publisherVilnius Gediminas Technical University-
dc.relation.isformatofReproducció del document publicat a: https://doi.org/10.3846/tede.2024.20488-
dc.relation.ispartofTechnological and Economic Development of Economy, 2024, vol. 30, num.3, p. 753-782-
dc.relation.urihttps://doi.org/10.3846/tede.2024.20488-
dc.rightscc-by (c) Alaminos, David et al., 2024-
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/-
dc.subject.classificationLògica difusa-
dc.subject.classificationRisc (Assegurances)-
dc.subject.classificationPrimes (Assegurances)-
dc.subject.otherFuzzy logic-
dc.subject.otherRisk (Insurance)-
dc.subject.otherInsurance premiums-
dc.titleGlobal patterns and extreme events in sovereign risk premia: A fuzzy vs deep learning comparative-
dc.typeinfo:eu-repo/semantics/article-
dc.typeinfo:eu-repo/semantics/publishedVersion-
dc.identifier.idgrec757298-
dc.date.updated2025-06-18T08:45:40Z-
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess-
Appears in Collections:Articles publicats en revistes (Empresa)

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