Journals / BDDK Bankacılık ve Finansal Piyasalar Dergisi / 2011 / Cilt: 5 - Sayı: 2

Efficiency, Productivity and Risk Analysis in Turkish Banks: A Bootstrap DEA Approach

Türk Bankalarında Etkinlik, Verimlilik ve Risk Analizi: Bootstrap Veri Zarflama Analizi Yaklaşımı

Pages
71–133
Publication Date
2011-12-01
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

This paper attempts to extend the existing DEA literature by applying some of the remarkable methods suggested to improve DEA efficiency and productivity estimates altogether, for the case of Turkey to observe the impacts of recent 2007 global financial crisis

📌 3 Key Takeaways

🎯
Objective & Hypothesis:This paper, by using Data Envelopment Analysis DEA and Malmquist Productivity Index, addresses the impacts of 2007 global financial crisis on the efficiency and productivity of Turkish banks, during 2003-2010 periods.
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Key Findings & Data:Moreover, a risk taking measure is introduced for each bank and two-stage regression is used to analyze the determinants of DEA efficiency scores.
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Conclusion & Impact:This paper attempts to extend the existing DEA literature by applying some of the remarkable methods suggested to improve DEA efficiency and productivity estimates altogether, for the case of Turkey to observe the impacts of recent 2007 global financial crisis
🔬Design:Research Article
📍Scope:2007 Verileri
⚙️Variables:Veri Zarflama Analizi · Malmquist Üretkenlik Endeksi · Etkinlik ve Üretkenlik

Abstract

This paper, by using Data Envelopment Analysis DEA and Malmquist Productivity Index, addresses the impacts of 2007 global financial crisis on the efficiency and productivity of Turkish banks, during 2003-2010 periods. Moreover, a risk taking measure is introduced for each bank and two-stage regression is used to analyze the determinants of DEA efficiency scores. However, because of the existence of inherent dependency among DEA efficiency scores, the basic assumption of regression analysis, i.e., independence within the sample is violated. Hence, to overcome the dependency problem and to be able to make valid statistical inferences, bootstrapping method is applied. This paper attempts to extend the existing DEA literature by applying some of the remarkable methods suggested to improve DEA efficiency and productivity estimates altogether, for the case of Turkey to observe the impacts of recent 2007 global financial crisis

Özet

–Türk Bankalarında Etkinlik, Verimlilik ve Risk Analizi: Bootstrap Veri Zarflama Analizi Yaklaşımı Bu makale, Veri Zarflama Analizi VZA ve Malmquist Üretkenlik Endeksi’ni kullanarak 2007 küresel ekonomik krizinin Türk Bankacılık Sektörü üzerindeki etkilerini 2003-2010 dönemi boyunca incelemiştir. Ayrıca, risk ölçümü amacıyla her banka için risk ölçüsü tanımlanmış ve VZA yöntemiyle elde edilmiş olan etkinlik skorlarının belirleyicilerini analiz etmek amacıyla iki adımlı regresyon yapılmıştır. Ancak VZA etkinlik skorları arasındaki bağımlılık sebebiyle, regresyon analizinin temel varsayımlarından biri olan örneklemin bağımsızlığı ihlal edilmiştir. Bu nedenle, söz konusu ihlali gidermek ve analizden geçerli istatistiksel çıkarımlar yapabilmek amacıyla analizde bootstrapping yöntemi uygulanmıştır. Bu makale, VZA etkinlik ve üretkenlik endekslerini geliştirmek amacıyla literatürde önerilen dikkate değer bazı metodları, 2007 krizinin Türkiye üzerindeki etkilerini incelemek amacıyla bir arada uygulayarak mevcut DEA literatürüne katkıda bulunmayı amaçlamaktadır

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Cite This Article

DİLER, M. (2011). Efficiency, Productivity and Risk Analysis in Turkish Banks: A Bootstrap DEA Approach. BDDK Bankacılık ve Finansal Piyasalar Dergisi, Cilt: 5 - Sayı: 2, 71–133. https://ajindex.com/articles/473873

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