A fuzzy-hybrid analytic model to assess investors' perceptions for industry selection

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dc.authorid0000-0002-8072-031X
dc.authorid0000-0002-0068-0048
dc.contributor.authorDinçer, Hasan
dc.contributor.authorHacıoğlu, Ümit
dc.contributor.authorTatoğlu, Ekrem
dc.contributor.authorDelen, Dursun
dc.date.accessioned10.07.201910:49:13
dc.date.accessioned2019-07-10T19:51:47Z
dc.date.available10.07.201910:49:13
dc.date.available2019-07-10T19:51:47Z
dc.date.issued2016
dc.departmentİstanbul Medipol Üniversitesi, İşletme ve Yönetim Bilimleri Fakültesi, Uluslararası Ticaret ve Finansman Bölümü
dc.descriptionWOS: 000376808400003
dc.description.abstractThe 2008-2009 global financial crisis and its subsequent ramifications on capital markets have led to an increasing attention on the importance of cognitive and behavioral issues in finance. The purpose of this study is to determine the ranking of the industry alternatives for portfolio investments based on individual investors' perceptions. Accordingly, a hybrid analytic multi-criteria decision model (MCDM)-based on the Fuzzy Analytic Hierarchy Process (FAHP) and the Fuzzy Technique for the Order of Preference by Similarity to Ideal Solution (HOPS'S) methods along with sensitivity analysis is developed to identify and rank-order the best performing industry options. The proposed model is applied to Borsa Istanbul Stock Exchange 100 Index (BIST 100) in Turkey. The results indicate that (i) the investors' perceptions on market conditions and global financial situation influence their industry selection on company stocks; (ii) the investors' perceptions on portfolio investments rely heavily on performance and risk levels of individual asset/stocks, and (iii) traded stocks of financial industry (along with its sub-industries) have greater performance expectations than those of the ones in other industries such as technology, services and tourism.
dc.identifier.citationDinçer, H., Hacıoğlu, Ü., Tatoğlu, E. ve Delen, D. (2016). A fuzzy-hybrid analytic model to assess investors' perceptions for industry selection. Decısıon Support Systems, 86, 23-34. https://dx.doi.org/10.1016/j.dss.2016.03.005
dc.identifier.doi10.1016/j.dss.2016.03.005
dc.identifier.endpage34
dc.identifier.issn0167-9236
dc.identifier.issn1873-5797
dc.identifier.scopusqualityQ1
dc.identifier.startpage24
dc.identifier.urihttps://dx.doi.org/10.1016/j.dss.2016.03.005
dc.identifier.urihttps://hdl.handle.net/20.500.12511/2283
dc.identifier.volume86
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherElsevier Science Bv
dc.relation.ispartofDecision Support Systemsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/embargoedAccess
dc.subjectInvestment Decisions
dc.subjectInvestor Perception
dc.subjectFuzzy TOPSIS
dc.subjectFuzzy AHP
dc.subjectHybrid Analytic Modeling
dc.subjectEmerging Economies
dc.titleA fuzzy-hybrid analytic model to assess investors' perceptions for industry selection
dc.typeArticle

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