Kredi kartı taleplerinin değerlendirilmesinde grup ve bireysel kredi puanlama modellerinin karşılaştırılmalı bir analizi

dc.contributor.author Huseyin Ince
dc.contributor.author Bora AKTAN
dc.date.accessioned 2025-10-22T16:06:46Z
dc.date.issued 2010
dc.description.abstract Kredilendirme bankacılığın en temel işlevi olmakla birlikte aynı zamanda en riskli faaliyetlerinden biridir. Bu nedenle bankaların kredilendirme faaliyetlerini verimli ve kredilerin geri dönmemesinden doğabilecek zararları en az düzeyde tutulabilecek şekilde yürütmeleri gerekir. Bankalar bu sebeple son yıllarda ayrıştırma analizi logit ve probit modelleri ya da sınıflama ve regresyon ağaçları ve yapay sinir ağları gibi çeşitli teknikler yardımı ile kredilendirme faaliyetlerinde hızlı ve sağlıklı karar verilmesini sağlayan kredi puanlama sistemini kullanmaktadırlar. Bu çalışmanın amacı grup modelleri ile bireysel kredi puanlama modellerin performanslarının karşılaştırılmasıdır. Bu amaç doğrultusunda yapay sinir ağları ve karar ağaçları teknikleri kullanılarak geliştirilmiş bireysel modeller ile Bagging ve Adaboost teknikleri ile elde edilmiş grup modelleri kullanılmıştır. Yapılan analiz ve değerlendirmeler sonucu grup kredi puanlama modellerinin bireysel modellere üstünlük sağladığı görülmüştür.
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dc.identifier.issn 1307-945X
dc.identifier.uri https://gcris.yasar.edu.tr/handle/123456789/11267
dc.language.iso Türkçe
dc.source BDDK Bankacılık ve Finansal Piyasalar Dergisi
dc.subject İktisat-İşletme Finans
dc.title Kredi kartı taleplerinin değerlendirilmesinde grup ve bireysel kredi puanlama modellerinin karşılaştırılmalı bir analizi
dc.type Article
dc.type Article
dspace.entity.type Publication
gdc.coar.type text::journal::journal article
gdc.index.type TR-Dizin
oaire.citation.endPage 90
oaire.citation.startPage 75
publicationissue.issueNumber 1
publicationvolume.volumeNumber 4
relation.isOrgUnitOfPublication ac5ddece-c76d-476d-ab30-e4d3029dee37
relation.isOrgUnitOfPublication.latestForDiscovery ac5ddece-c76d-476d-ab30-e4d3029dee37

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