| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Loukeris, Nikolaos | - |
| dc.contributor.author | Eleftheriadis, Iordanis | - |
| dc.date.accessioned | 2024-04-23T10:55:22Z | - |
| dc.date.available | 2024-04-23T10:55:22Z | - |
| dc.date.issued | 2015 | - |
| dc.identifier | google_scholar-XlKYe28AAAAJ:u-x6o8ySG0sC | - |
| dc.identifier.issn | 2160-5920 | - |
| dc.identifier.other | XlKYe28AAAAJ:u-x6o8ySG0sC | - |
| dc.identifier.uri | https://uniwacris.uniwa.gr/handle/3000/2225 | - |
| dc.description.abstract | Corporate net value is efficiently described on its stock price, offering investors a chance to include a potentially surplus value to the net worth of the overall investment portfolio. Financial analysis of corporations extracted from 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 provide effective results in corporate financial analysis. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Scientific Research Publishing | en_US |
| dc.relation.ispartof | Intelligent Information Management | en_US |
| dc.source | Intelligent Information Management 7 (3), 123-129, 2015 | - |
| dc.subject | Support vector machines | en_US |
| dc.subject | Genetic algorithms | en_US |
| dc.subject | Corporate finance | en_US |
| dc.subject | Financial markets | en_US |
| dc.title | Support vector machines networks to hybrid neuro-genetic svms in portfolio selection | en_US |
| dc.type | Article | en_US |
| dc.identifier.doi | 10.4236/iim.2015.73011 | en_US |
| dc.relation.dept | Department of Business Administration | en_US |
| dc.relation.faculty | School of Administrative, Economics and Social Sciences | en_US |
| dc.relation.volume | 7 | en_US |
| dc.relation.issue | 3 | en_US |
| dc.identifier.spage | 123 | en_US |
| dc.identifier.epage | 129 | en_US |
| dc.collaboration | University of West Attica (UNIWA) | en_US |
| dc.journals | Open Access | en_US |
| dc.publication | Peer Reviewed | en_US |
| dc.country | Greece | en_US |
| local.metadatastatus | verified | en_US |
| item.cerifentitytype | Publications | - |
| item.languageiso639-1 | en | - |
| item.openairetype | Article | - |
| item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
| item.fulltext | No Fulltext | - |
| item.grantfulltext | none | - |
| crisitem.author.dept | Department of Business Administration | - |
| crisitem.author.faculty | School of Administrative, Economics and Social Sciences | - |
| crisitem.author.orcid | 0000-0002-1891-8245 | - |
| crisitem.author.parentorg | School of Administrative, Economics and Social Sciences | - |
| Appears in Collections: | Articles / Άρθρα | |
CORE Recommender
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.