Rodyti trumpą aprašą

dc.contributor.authorRutkauskas, Aleksandras Vytautas
dc.contributor.authorStasytytė, Viktorija
dc.date.accessioned2023-09-18T16:13:14Z
dc.date.available2023-09-18T16:13:14Z
dc.date.issued2022
dc.identifier.issn1911-8066
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/112438
dc.description.abstractThe redistribution of resources in global stock markets is prevalent: the capital is transferred from one investor to another. Sometimes, earning a substantial return in the stock market seems complicated to implement for an individual investor. Investing contributes to the welfare of society and the wealth of citizens. This is why people should look for efficient ways to invest. Investment should become a natural part of personal finance management in the majority of households. For this reason, an investment model is developed where stocks are selected based only on market intelligence using historical data. The model helps find one or several stocks that generate the highest return on a separate step. Applying this model, experiments were performed with daily data from German, US, and UK stock markets. The possibility of obtaining higher than average returns in these markets has been noticed. In the German market, during the 97-day period, the authors obtained a 1.46 return, which implies a 2.31 annual return: in the USA market, a 2.37 return (7.93 annual return), and in the UK market, a 1.90 return (4.09 annual return). Thus, the proposed investment decision-making system could be an efficient tool for forming a sustainable individual or household portfolio. It can generate higher investment returns for an investor and, moreover, make the market more efficient by applying market intelligence and related historical data.eng
dc.formatPDF
dc.format.extentp. 1-22
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.relation.isreferencedbyEmerging Sources Citation Index (Web of Science)
dc.relation.isreferencedbyScopus
dc.source.urihttps://www.mdpi.com/1911-8074/15/1/30
dc.titleIntegrated intellectual investment portfolio as an efficient instrument to manage personal financial investment
dc.typeStraipsnis Web of Science DB / Article in Web of Science DB
dcterms.accessRightsThis article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/).
dcterms.licenseCreative Commons – Attribution – 4.0 International
dcterms.references40
dc.type.pubtypeS1 - Straipsnis Web of Science DB / Web of Science DB article
dc.contributor.institutionVytauto Didžiojo universitetas
dc.contributor.institutionVilniaus Gedimino technikos universitetas
dc.contributor.facultyVerslo vadybos fakultetas / Faculty of Business Management
dc.subject.researchfieldS 004 - 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.enreturn
dc.subject.enrisk
dc.subject.enstocks
dc.subject.enstop-loss order
dc.subject.eninvestment
dc.subject.enportfolio
dcterms.sourcetitleJournal of risk and financial management: Special Issue Household Finance
dc.description.issueiss. 1
dc.description.volumevol. 15
dc.publisher.nameMDPI
dc.publisher.cityBasel
dc.identifier.doi000757046300001
dc.identifier.doi10.3390/jrfm15010030
dc.identifier.elaba116576813


Šio įrašo failai

FailaiDydisFormatasPeržiūra

Su šiuo įrašu susijusių failų nėra.

Šis įrašas yra šioje (-se) kolekcijoje (-ose)

Rodyti trumpą aprašą