DC FieldValueLanguage
dc.contributor.authorLoukeris, Nikolaos-
dc.contributor.authorEleftheriadis, Iordanis-
dc.date.accessioned2024-04-23T10:20:35Z-
dc.date.available2024-04-23T10:20:35Z-
dc.date.issued2017-06-08-
dc.identifiergoogle_scholar-XlKYe28AAAAJ:UeHWp8X0CEIC-
dc.identifier.issn1727-9232-
dc.identifier.issn1810-3057-
dc.identifier.otherXlKYe28AAAAJ:UeHWp8X0CEIC-
dc.identifier.urihttps://uniwacris.uniwa.gr/handle/3000/2224-
dc.description.abstractWe introduce a new methodology that incorporates advanced higher moments evaluation in a new approach of the Portfolio Selection problem, supported by effective Computational Intelligence models. The Evolutional Portfolio Intelligent Complex Optimization (EPICO) model extracts hidden patterns out of the numerous accounting data and financial statements filtering misguiding effects such as noise or fraud, offering an optimal portfolio selection method.en_US
dc.language.isoenen_US
dc.relation.ispartofCorporate Ownership and Controlen_US
dc.sourceCorporate Ownership and Control 14 (4–1), 271-285, 2017-
dc.subjectIsoelastic Utility finctionen_US
dc.subjectHigher momentsen_US
dc.subjectRecurrent neural networksen_US
dc.subjectTime-Lag recurrent neural networksen_US
dc.subjectJordan Elman neural networksen_US
dc.subjectMLPen_US
dc.subjectHybrid networksen_US
dc.subjectGenetic algorithmsen_US
dc.subjectPortfolio optimizationen_US
dc.titleControl of Corporate Ownership in the Evolutional Portfolio Intelligent Complex Optimization (EPICO) modelen_US
dc.typeArticleen_US
dc.relation.deptDepartment of Business Administrationen_US
dc.relation.facultySchool of Administrative, Economics and Social Sciencesen_US
dc.relation.volume14en_US
dc.relation.issue4en_US
dc.identifier.spage271en_US
dc.identifier.epage285en_US
dc.linkhttps://pdfs.semanticscholar.org/ffed/3a3ad3ba6637cb4b03bf940fc1ae36897ed2.pdfen_US
dc.collaborationUniversity of West Attica (UNIWA)en_US
dc.journalsOpen Accessen_US
dc.publicationPeer Revieweden_US
dc.countryGreeceen_US
local.metadatastatusverifieden_US
item.cerifentitytypePublications-
item.languageiso639-1en-
item.openairetypeArticle-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextNo Fulltext-
item.grantfulltextnone-
crisitem.author.deptDepartment of Business Administration-
crisitem.author.facultySchool of Administrative, Economics and Social Sciences-
crisitem.author.orcid0000-0002-1891-8245-
crisitem.author.parentorgSchool of Administrative, Economics and Social Sciences-
Appears in Collections:Articles / Άρθρα
CORE Recommender
Show simple item record

Page view(s)

23
checked on Nov 5, 2024

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.