Rodyti trumpą aprašą

dc.contributor.authorYousefi, Vahidreza
dc.contributor.authorYakhchali, Siamak Haji
dc.contributor.authorŠaparauskas, Jonas
dc.contributor.authorKiani, Sarmad
dc.date.accessioned2023-09-18T16:41:39Z
dc.date.available2023-09-18T16:41:39Z
dc.date.issued2018
dc.identifier.issn1392-2785
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/116061
dc.description.abstractThis study addresses the effect of selecting an appropriate risk measure and the impact of this choice on the efficient frontier of the project portfolio of an organisation. The appropriate choice of a firm’s project portfolio has a great impact on the organisational success. Each portfolio manager selects the best projects with different criteria and consistent with firm’s strategic objectives. We used the Markowitz efficient frontier method to select the best projects of the organisation. The choice of proper measures impacts on this decision and can change the organisation’s portfolio. The standard deviation was applied, and the relevant optimisation was made for this purpose. Then, the semi-standard deviation was used to differentiate between favourable and unfavourable opportunities. Afterwards, Value at Risk and Expected Shortfall were applied as appropriate risk measures to make a better estimate of the tail risks. All these risk measures were used to select the best possible projects. Managers should select the appropriate risk measures according to their objectives, estimation of their project distribution, and characteristics of the projects. This research studied the best measures consistent with construction projects and the effect of changes in these measures.eng
dc.formatPDF
dc.format.extentp. 168-175
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.relation.isreferencedbyBusiness Source Complete
dc.relation.isreferencedbyScopus
dc.relation.isreferencedbySocial Sciences Citation Index (Web of Science)
dc.source.urihttp://dx.doi.org/10.5755/j01.ee.29.2.17405
dc.subjectVE01 - Aukštos pridėtinės vertės ekonomika / High value-added economy
dc.titleThe impact made on project portfolio optimisation by the selection of various risk measures
dc.typeStraipsnis Web of Science DB / Article in Web of Science DB
dcterms.references66
dc.type.pubtypeS1 - Straipsnis Web of Science DB / Web of Science DB article
dc.contributor.institutionUniversity of Tehran
dc.contributor.institutionVilniaus Gedimino technikos universitetas
dc.contributor.facultyStatybos fakultetas / Faculty of Civil Engineering
dc.subject.researchfieldS 003 - Vadyba / Management
dc.subject.researchfieldT 002 - Statybos inžinerija / Construction and engineering
dc.subject.ltspecializationsL104 - Nauji gamybos procesai, medžiagos ir technologijos / New production processes, materials and technologies
dc.subject.enPortfolio optimisation
dc.subject.enRisk measures
dc.subject.enMonte Carlo Simulation
dc.subject.enDownside risk
dc.subject.enValue at Risk
dc.subject.enExpected Shortfall
dcterms.sourcetitleInžinerinė ekonomika = Engineering economics
dc.description.issueiss. 2
dc.description.volumeVol. 29
dc.publisher.nameKTU
dc.publisher.cityKaunas
dc.identifier.doi000431337900004
dc.identifier.doi2-s2.0-85046820422
dc.identifier.doi10.5755/j01.ee.29.2.17405
dc.identifier.elaba28657751


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