| dc.contributor.author | Okunevičiūtė Neverauskienė, Laima | |
| dc.contributor.author | Tvaronavičienė, Manuela | |
| dc.contributor.author | Rutkauskas, Aleksandras Vytautas | |
| dc.contributor.author | Danilevičienė, Irena | |
| dc.contributor.author | Stasytytė, Viktorija | |
| dc.date.accessioned | 2023-09-18T16:08:09Z | |
| dc.date.available | 2023-09-18T16:08:09Z | |
| dc.date.issued | 2022 | |
| dc.identifier.issn | 1331-677X | |
| dc.identifier.uri | https://etalpykla.vilniustech.lt/handle/123456789/111581 | |
| dc.description.abstract | The 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.format | PDF | |
| dc.format.extent | p. 1061-1087 | |
| dc.format.medium | tekstas / txt | |
| dc.language.iso | eng | |
| dc.relation.isreferencedby | Social Sciences Citation Index (Web of Science) | |
| dc.relation.isreferencedby | Scopus | |
| dc.relation.isreferencedby | CABI (abstracts) | |
| dc.relation.isreferencedby | RePec | |
| dc.relation.isreferencedby | TOC Premier | |
| dc.rights | Laisvai prieinamas internete | |
| dc.source.uri | https://doi.org/10.1080/1331677X.2021.1955222 | |
| dc.source.uri | https://talpykla.elaba.lt/elaba-fedora/objects/elaba:103023675/datastreams/MAIN/content | |
| dc.title | The possibilities and consequences of investment decisions by stepwise optimization | |
| dc.type | Straipsnis Web of Science DB / Article in Web of Science DB | |
| dcterms.accessRights | This 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.license | Creative Commons – Attribution – 4.0 International | |
| dcterms.references | 55 | |
| dc.type.pubtype | S1 - Straipsnis Web of Science DB / Web of Science DB article | |
| dc.contributor.institution | Vilniaus Gedimino technikos universitetas Lietuvos socialinių mokslų centras | |
| dc.contributor.institution | Vilniaus Gedimino technikos universitetas | |
| dc.contributor.institution | Vytauto Didžiojo universitetas | |
| dc.contributor.faculty | Verslo vadybos fakultetas / Faculty of Business Management | |
| dc.subject.researchfield | S 004 - Ekonomika / Economics | |
| dc.subject.studydirection | J01 - Ekonomika / Economics | |
| dc.subject.vgtuprioritizedfields | EV02 - Aukštos pridėtinės vertės ekonomika / High Value-Added Economy | |
| dc.subject.ltspecializations | L103 - Įtrauki ir kūrybinga visuomenė / Inclusive and creative society | |
| dc.subject.en | Decision-making | |
| dc.subject.en | investment portfolio | |
| dc.subject.en | return | |
| dc.subject.en | risk | |
| dc.subject.en | uncertainty | |
| dc.subject.en | utility | |
| dc.subject.en | stochastic process | |
| dcterms.sourcetitle | Economic research-Ekonomska istrazivanja | |
| dc.description.issue | iss. 1 | |
| dc.description.volume | vol. 35 | |
| dc.publisher.name | Taylor & Francis | |
| dc.publisher.city | Abingdon | |
| dc.identifier.doi | 000686412400001 | |
| dc.identifier.doi | 10.1080/1331677X.2021.1955222 | |
| dc.identifier.elaba | 103023675 | |