Profitability prediction of Turkish banking industry: A comparative analysis with data science and fuzzy ANP

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dc.authorid0000-0001-8863-8348
dc.authorid0000-0002-8072-031X
dc.authorid0000-0002-9858-1266
dc.contributor.authorSilahtaroğlu, Gökhan
dc.contributor.authorDinçer, Hasan
dc.contributor.authorYüksel, Serhat
dc.date.accessioned2022-10-20T07:13:04Z
dc.date.available2022-10-20T07:13:04Z
dc.date.issued2021
dc.departmentİstanbul Medipol Üniversitesi, İşletme ve Yönetim Bilimleri Fakültesi, Yönetim Bilişim Sistemleri Bölümü
dc.departmentİstanbul Medipol Üniversitesi, İşletme ve Yönetim Bilimleri Fakültesi, Uluslararası Ticaret ve Finansman Bölümü
dc.description.abstractIn this study, it is aimed to estimate the factors affecting the profitability of the Turkish banking sector. For this purpose, 34 different variables were firstly determined by literature review. Then, with the help of decision trees method, the most important 8 variables were selected. These variables were also evaluated with fuzzy ANP approach. As a result, it is understood that the foreign exchange position is the most important variable for the profitability of the Turkish banking sector. Based on this result, it is recommended that Turkish banks take some actions to minimize the currency exchange rate risk. In this context, it is considered that financial derivative products will help the management of this mentioned risk.
dc.identifier.citationSilahtaroğlu, G., Dinçer, H. ve Yüksel, S. (2021). Profitability prediction of Turkish banking industry: A comparative analysis with data science and fuzzy ANP. Multiple Criteria Decision Making içinde (77-108. ss.). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-74176-1_4
dc.identifier.doi10.1007/978-3-030-74176-1_4
dc.identifier.endpage108
dc.identifier.issn2366-0023
dc.identifier.scopus2-s2.0-85139080892
dc.identifier.scopusqualityN/A
dc.identifier.startpage77
dc.identifier.urihttps://doi.org/10.1007/978-3-030-74176-1_4
dc.identifier.urihttps://hdl.handle.net/20.500.12511/9849
dc.indekslendigikaynakScopus
dc.institutionauthorSilahtaroğlu, Gökhan
dc.institutionauthorDinçer, Hasan
dc.institutionauthorYüksel, Serhat
dc.language.isoen
dc.publisherSpringer Science and Business Media Deutschland GmbH
dc.relation.ispartofMultiple Criteria Decision Makingen_US
dc.relation.publicationcategoryKitap Bölümü - Uluslararası
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectBanking
dc.subjectDecision Tree
dc.subjectFuzzy ANP
dc.titleProfitability prediction of Turkish banking industry: A comparative analysis with data science and fuzzy ANP
dc.typeBook Chapter

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