DC FieldValueLanguage
dc.contributor.authorLoukeris, Nikolaos-
dc.contributor.authorEleftheriadis, Iordanis-
dc.contributor.authorBekiros, Stelios-
dc.date.accessioned2024-04-23T11:23:50Z-
dc.date.available2024-04-23T11:23:50Z-
dc.date.issued2016-07-15-
dc.identifierscopus-85013175453-
dc.identifier.isbn9781509034291-
dc.identifier.other85013175453-
dc.identifier.urihttps://uniwacris.uniwa.gr/handle/3000/2230-
dc.description.abstractAlthough returns distributions are complex, they can't avoid manipulation in any form. We propose a new methodology, the Intelligent Portfolio Selection & Optimisation System - IPSOS that takes into account hidden information within the extended accounting data and financial statements, among other values incorporates them on a new Jordan Elman hybrid network to provide safer financial evaluations.en_US
dc.language.isoenen_US
dc.relation.ispartofConference Proceedings of the 7th International Conference on Information, Intelligence, Systems and Applicationsen_US
dc.subjectFinanceen_US
dc.subjectGenetic algorithmsen_US
dc.subjectIntegrated systemsen_US
dc.subjectJordan & Elman neural networksen_US
dc.subjectNon-linear regressionsen_US
dc.titleThe Intelligent Portfolio Selection Optimization System, (IPSOS)en_US
dc.typeConference Paperen_US
dc.relation.conference7th International Conference on Information, Intelligence, Systems and Applications, 13-15 July 2016, Chalkidiki, Greeceen_US
dc.identifier.doi10.1109/IISA.2016.7785340en_US
dc.identifier.scopus2-s2.0-85013175453-
dcterms.accessRights0en_US
dc.relation.deptDepartment of Business Administrationen_US
dc.relation.facultySchool of Administrative, Economics and Social Sciencesen_US
dc.collaborationUniversity of West Attica (UNIWA)en_US
dc.journalsSubscriptionen_US
dc.publicationPeer Revieweden_US
dc.countryGreeceen_US
local.metadatastatusverifieden_US
item.fulltextNo Fulltext-
item.grantfulltextnone-
item.openairetypeConference Paper-
item.languageiso639-1en-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
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:Book Chapter / Κεφάλαιο Βιβλίου
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