Rodyti trumpą aprašą

dc.contributor.authorMaknickienė, Nijolė
dc.date.accessioned2024-10-09T06:40:14Z
dc.date.available2024-10-09T06:40:14Z
dc.date.issued2012
dc.identifier.isbn9786094573231en_US
dc.identifier.issn2029-7963en_US
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/155053
dc.description.abstractThe conditions for investment depend on correct forecasts of financial markets parameters received by artificial intelligence based on currency trading models, where AI was used as probabilistic forecasting tool. Improvements of predictions probability directly influence the investment portfolio performance indicators and their inter-relationship. Newly developed Evolino Recurrent Neural Network (RNN) based on forecasting model was used for study of influence of currency exchange rate forecasts on investment decisions related with reception and choice of investment strategy. Results of portfolio performance indicators and portfolio riskiness are presented.en_US
dc.format.extent12 p.en_US
dc.format.mediumTekstas / Texten_US
dc.language.isoenen_US
dc.relation.urihttps://etalpykla.vilniustech.lt/handle/123456789/155040en_US
dc.source.urihttp://old.konferencijos.vgtu.lt/cbme.vgtu.lt/public_html/index.php/cbme/cbme_2012/paper/view/90en_US
dc.subjectartificial intelligenceen_US
dc.subjectforecastingen_US
dc.subjectinvestment portfolioen_US
dc.subjectexchange ratesen_US
dc.subjectSharpe ratioen_US
dc.subjectskewnessen_US
dc.subjectSortino ratioen_US
dc.titleEvaluation of the portfolio performance indicators, using Evolino RNN trading modelen_US
dc.typeKonferencijos publikacija / Conference paperen_US
dcterms.accessRightsLaisvai prieinamas / Openly availableen_US
dcterms.accrualMethodRankinis pateikimas / Manual submissionen_US
dcterms.alternativeFinancial risks management of business developmenten_US
dcterms.issued2012-11-15
dcterms.references22en_US
dc.description.versionTaip / Yesen_US
dc.contributor.institutionVilniaus Gedimino technikos universitetasen_US
dc.contributor.institutionVilnius Gediminas Technical Universityen_US
dc.contributor.facultyVerslo vadybos fakultetas / Faculty of Business Managementen_US
dcterms.sourcetitleInternational Scientific Conference „Contemporary Issues in Business, Management and Education ‘2012“en_US
dc.publisher.nameVilnius Gediminas Technical Universityen_US
dc.publisher.nameVilniaus Gedimino technikos universitetasen_US
dc.publisher.countryLithuaniaen_US
dc.publisher.countryLietuvaen_US
dc.publisher.cityVilniusen_US
dc.identifier.doihttps://doi.org/10.3846/cibme.2012.13en_US


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