Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/104031
DC FieldValueLanguage
dc.contributorDepartment of Industrial and Systems Engineeringen_US
dc.creatorWang, Xen_US
dc.creatorOuyang, Yen_US
dc.creatorLi, Yen_US
dc.creatorLiu, Sen_US
dc.creatorTeng, Len_US
dc.creatorWang, Ben_US
dc.date.accessioned2024-01-17T02:44:53Z-
dc.date.available2024-01-17T02:44:53Z-
dc.identifier.issn1544-6123en_US
dc.identifier.urihttp://hdl.handle.net/10397/104031-
dc.language.isoenen_US
dc.publisherAcademic Pressen_US
dc.subjectFuzzy portfolio selectionen_US
dc.subjectExpected utilityen_US
dc.subjectProspect theoryen_US
dc.subjectDisappointment theoryen_US
dc.titleMulti-objective portfolio selection considering expected and total utilityen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume58en_US
dc.identifier.issueDen_US
dc.identifier.doi10.1016/j.frl.2023.104552en_US
dcterms.abstractTo address the challenge of risk minimization associated with investors’ irrational investment decisions in the face of wealth fluctuations, this article integrates prospect theory and disappointment theory into the framework of multi-objective portfolio selection. By concurrently incorporating prospect theory and disappointment theory, this conceptual framework not only considers emotional factors but also offers a comprehensive depiction of individuals’ decision-making processes amidst uncertainty. The proposed portfolio selection model aims to balance return and risk by maximizing both expected and total utility. The effectiveness of the proposed model is validated through comparisons with three other methods.en_US
dcterms.accessRightsembargoed accessen_US
dcterms.bibliographicCitationFinance research letters, Dec. 2023, v. 58, pt. D, 104552en_US
dcterms.isPartOfFinance research lettersen_US
dcterms.issued2023-12-
dc.identifier.scopus2-s2.0-85174347124-
dc.identifier.eissn1544-6131en_US
dc.identifier.artn104552en_US
dc.description.validate202401 bcchen_US
dc.description.oaNot applicableen_US
dc.identifier.FolderNumbera2583-
dc.identifier.SubFormID47914-
dc.description.fundingSourceOthersen_US
dc.description.fundingTextResearch Committee, Department of Industrial and Systems Engineering, The Research Institute of Advanced Manufacturing of the Hong Kong Polytechnic Universityen_US
dc.description.pubStatusPublisheden_US
dc.date.embargo2025-12-31en_US
dc.description.oaCategoryGreen (AAM)en_US
Appears in Collections:Journal/Magazine Article
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Embargo End Date 2025-12-31
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