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dc.contributor.authorSilahtaroğlu, Gökhan
dc.contributor.authorDinçer, Hasan
dc.contributor.authorYüksel, Serhat
dc.date.accessioned2022-10-20T08:01:52Z
dc.date.available2022-10-20T08:01:52Z
dc.date.issued2021en_US
dc.identifier.citationSilahtaroğlu, G., Dinçer, H. ve Yüksel, S. (2021). Identifying indicators of global financial crisis with fuzzy logic and data science: A comparative analysis between developing and developed economies. Multiple Criteria Decision Making içinde (17-53. ss.). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-74176-1_2en_US
dc.identifier.issn2366-0023
dc.identifier.urihttps://doi.org/10.1007/978-3-030-74176-1_2
dc.identifier.urihttps://hdl.handle.net/20.500.12511/9854
dc.description.abstractThe main purpose of this study is to define the leading indicators of the 2008 global financial crisis for both developing and developed economies. In this context, 16 different variables are defined with the help of literature review. These variables are weighted by considering the fuzzy DEMATEL approach and the most significant 8 variables are identified. In addition to this analysis, decision tree methodology is also taken into consideration to understand main determinants of the financial crisis. The findings show that growth rate and capital adequacy of the banking industry are accepted as the leading indicators of the global crisis for developed economies. On the other hand, it is also concluded that inflation and industry development are accepted as the indicator of the financial crisis in addition to the economic growth and capital adequacy of the banks for developing economies. While considering the results, it is recommended that developed countries should periodically control economic growth rate and capital adequacy ratio of the banks to understand whether they have a financial crisis risk or not. Furthermore, for developing countries, it is also recommended that inflation rate should be periodically controlled, and they should identify necessary actions in order to minimize inflation rate.en_US
dc.language.isoengen_US
dc.publisherSpringer Science and Business Media Deutschland GmbHen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectData Scienceen_US
dc.subjectFuzzy DEMATELen_US
dc.subjectGlobal Financial Crisisen_US
dc.titleIdentifying indicators of global financial crisis with fuzzy logic and data science: A comparative analysis between developing and developed economiesen_US
dc.typebookParten_US
dc.relation.ispartofMultiple Criteria Decision Makingen_US
dc.departmentİstanbul Medipol Üniversitesi, İşletme ve Yönetim Bilimleri Fakültesi, Uluslararası Ticaret ve Finansman Bölümüen_US
dc.departmentİstanbul Medipol Üniversitesi, İşletme ve Yönetim Bilimleri Fakültesi, Yönetim Bilişim Sistemleri Bölümüen_US
dc.authorid0000-0001-8863-8348en_US
dc.authorid0000-0002-8072-031Xen_US
dc.authorid0000-0002-9858-1266en_US
dc.identifier.startpage17en_US
dc.identifier.endpage53en_US
dc.relation.publicationcategoryKitap Bölümü - Uluslararasıen_US
dc.identifier.doi10.1007/978-3-030-74176-1_2en_US
dc.institutionauthorSilahtaroğlu, Gökhan
dc.institutionauthorDinçer, Hasan
dc.institutionauthorYüksel, Serhat
dc.identifier.scopus2-s2.0-85139006401en_US


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