DC FieldValueLanguage
dc.contributor.authorLoukeris, Nikolaos-
dc.contributor.authorEleftheriadis, Iordanis-
dc.date.accessioned2024-04-23T09:08:35Z-
dc.date.available2024-04-23T09:08:35Z-
dc.date.issued2011-07-12-
dc.identifierscopus-82955196653-
dc.identifier.isbn978-1-61804-023-7-
dc.identifier.other82955196653-
dc.identifier.urihttps://uniwacris.uniwa.gr/handle/3000/2219-
dc.description.abstractThe net value of a corporation is efficiently reflected on its stock price, and investors and portfolio managers seek stocks that add a surplus value to the net worth of the overall stock portfolio. Financial analysis of corporations extracted form the accounting statements, is constantly demanded to support decisions making of portfolio managers. Econometrics and Artificial Intelligence methods aim to extract hidden information from complex accounting and financial data. Support Vector Machines hybrids optimized in their components by Genetic Algorithms provided effective results in corporate financial analysis.en_US
dc.language.isoenen_US
dc.relation.ispartofProceedings of the 15th WSEAS International Conference on Systems (Part of the 15th WSEAS CSCC Multiconference)en_US
dc.subjectCorporate financeen_US
dc.subjectFinancial marketsen_US
dc.subjectGenetic algorithmsen_US
dc.subjectSupport vector machinesen_US
dc.titleSupport Vector Machines neural networks to a hybrid neuro-genetic SVM form in corporate financial analysisen_US
dc.typeConference Paperen_US
dc.relation.conference15th WSEAS International Conference on Systems (Part of the 15th WSEAS CSCC Multiconference), 14-16 July 2011, Corfu Island, Greeceen_US
dc.identifier.scopus2-s2.0-82955196653-
dcterms.accessRights0en_US
dc.relation.deptDepartment of Business Administrationen_US
dc.relation.facultySchool of Administrative, Economics and Social Sciencesen_US
dc.identifier.spage410en_US
dc.identifier.epage416en_US
dc.linkhttps://www.scopus.com/record/display.uri?eid=2-s2.0-82955196653&origin=inward&txGid=cb3dba905146dc5e970d8f94ef16a70een_US
dc.collaborationUniversity of West Attica (UNIWA)en_US
dc.journalsSubscriptionen_US
dc.publicationPeer Revieweden_US
dc.countryGreeceen_US
local.metadatastatusverifieden_US
item.cerifentitytypePublications-
item.languageiso639-1en-
item.openairetypeConference Paper-
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:Book Chapter / Κεφάλαιο Βιβλίου
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