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dc.contributor.authorOkunevičiūtė Neverauskienė, Laima
dc.contributor.authorTvaronavičienė, Manuela
dc.contributor.authorRutkauskas, Aleksandras Vytautas
dc.contributor.authorDanilevičienė, Irena
dc.contributor.authorStasytytė, Viktorija
dc.date.accessioned2023-09-18T16:08:09Z
dc.date.available2023-09-18T16:08:09Z
dc.date.issued2022
dc.identifier.issn1331-677X
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/111581
dc.description.abstractThe paper deals with the application of stochastic optimization principles for investment decision making. The authors present the investment management system based on an adequate portfolio model. For optimal portfolio construction and stock selection, the method of stochastically informative expertise and ranging is used. Investment portfolios in equity and currency markets are formed considering investor risk tolerance and risk preference level, as well as an individual utility function. Investment portfolios are constructed according to three criteria: return, risk, and reliability. The markets of Germany, the USA, and China, as well as foreign exchange markets, are analysed. The results reveal the efficient investment possibilities in the mentioned markets, allowing to reach investment return substantially exceeding market index return. Along with that, an innovative stochastic clustering methodology for investment assets is proposed. The obtained results are of great value for individual as well as institutional investors and are a suitable means to form efficient investment strategies in financial markets.eng
dc.formatPDF
dc.format.extentp. 1061-1087
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.relation.isreferencedbySocial Sciences Citation Index (Web of Science)
dc.relation.isreferencedbyScopus
dc.relation.isreferencedbyCABI (abstracts)
dc.relation.isreferencedbyRePec
dc.relation.isreferencedbyTOC Premier
dc.rightsLaisvai prieinamas internete
dc.source.urihttps://doi.org/10.1080/1331677X.2021.1955222
dc.source.urihttps://talpykla.elaba.lt/elaba-fedora/objects/elaba:103023675/datastreams/MAIN/content
dc.titleThe possibilities and consequences of investment decisions by stepwise optimization
dc.typeStraipsnis Web of Science DB / Article in Web of Science DB
dcterms.accessRightsThis is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited.
dcterms.licenseCreative Commons – Attribution – 4.0 International
dcterms.references55
dc.type.pubtypeS1 - Straipsnis Web of Science DB / Web of Science DB article
dc.contributor.institutionVilniaus Gedimino technikos universitetas Lietuvos socialinių mokslų centras
dc.contributor.institutionVilniaus Gedimino technikos universitetas
dc.contributor.institutionVytauto Didžiojo universitetas
dc.contributor.facultyVerslo vadybos fakultetas / Faculty of Business Management
dc.subject.researchfieldS 004 - Ekonomika / Economics
dc.subject.studydirectionJ01 - Ekonomika / Economics
dc.subject.vgtuprioritizedfieldsEV02 - Aukštos pridėtinės vertės ekonomika / High Value-Added Economy
dc.subject.ltspecializationsL103 - Įtrauki ir kūrybinga visuomenė / Inclusive and creative society
dc.subject.enDecision-making
dc.subject.eninvestment portfolio
dc.subject.enreturn
dc.subject.enrisk
dc.subject.enuncertainty
dc.subject.enutility
dc.subject.enstochastic process
dcterms.sourcetitleEconomic research-Ekonomska istrazivanja
dc.description.issueiss. 1
dc.description.volumevol. 35
dc.publisher.nameTaylor & Francis
dc.publisher.cityAbingdon
dc.identifier.doi000686412400001
dc.identifier.doi10.1080/1331677X.2021.1955222
dc.identifier.elaba103023675


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