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  Citation Number 8
 Views 36
 Downloands 2
TAKİPTEKİ KREDİLERİN BANKAYA ÖZGÜ, FİNANSAL VE MAKROEKONOMİK BELİRLEYİCİLERİ: TÜRKİYE ÖRNEĞİ
2021
Journal:  
Uluslararası İktisadi ve İdari İncelemeler Dergisi
Author:  
Abstract:

Bu çalışmada, 2004-2017 döneminde Türkiye’de faaliyette bulunan 21 bankanın yıllık verileri üzerinden takipteki kredilerin belirleyicileri tespit edilmeye çalışmıştır. Çalışmaya bankaya özgü değişkenlerin yanı sıra ülkeye özgü makro finansal ve makroekonomik değişkenler de eklenmiştir. Çalışmada, takipteki kredilerin toplam aktiflere (NPL1) ve takipteki kredilerin brüt toplam kredilere (NPL2) oranı bağımlı değişken olarak belirlenmiştir. Çalışmada bankaların takipteki alacaklarını etkileyen faktörler statik ve dinamik panel veri analizi yöntemleri ile incelenmiştir. Borç vermede uzmanlaşma (BVU) değişkeni modellerin genelinde negatif ve istatistiki olarak anlamlı bulunmuştur. Buna göre, bankalar kredi vermede uzmanlaştıkça takipteki alacaklarını arttırabilecek kredileri daha iyi takip etme potansiyeline sahip olacaklardır. Kapitalizasyon (KAP) değişkeninin tüm modellerde istatistiki olarak anlamlı ve pozitif etkide bulunduğu tespit edilmiştir. Bu bulgu bankaların düşük sermaye ile daha riskli krediler verdiğini göstermekte olup, bu durum takipteki alacakların artmasına neden olmuştur. Panel veri yöntemi ile yapılan analiz sonuçlarına göre bulduğumuz sonuçlar finansal ve ekonomik faktörler belirlenirken politika yapıcılara yardımcı olacaktır.

Keywords:

The bank’s private, financial and macroeconomic indicators: the example of Turkey
2021
Author:  
Abstract:

In this study, 21 banks operating in Turkey in the period 2004-2017 have tried to identify the indicators of the following loans through the annual data. The work has been added to the bank-specific variables as well as the country-specific macro-financial and macro-economic variables. In the study, the ratio of subsequent loans to the total assets (NPL1) and subsequent loans to the total loans (NPL2) was determined as a variable depending on the total assets (NPL2). In the study, the factors that influence the successive receipts of banks were studied by static and dynamic panel data analysis methods. Specialization in borrowing (BVU) variable has been found negative and statistically meaningful throughout the models. As a result, the banks will have the potential to better track the loans that they can increase their receipts as they specialize in lending. It has been found that the capitalization (KAP) variable has statistically meaningful and positive effects on all models. These findings show that banks give less capital loans with more risk, which has resulted in the increase in subsequent receipts. Based on the analysis results by panel data method, the results we find will help policy makers identify financial and economic factors.

Keywords:

0
2021
Author:  
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Uluslararası İktisadi ve İdari İncelemeler Dergisi

Field :   Sosyal, Beşeri ve İdari Bilimler

Journal Type :   Uluslararası

Metrics
Article : 918
Cite : 5.282
2023 Impact : 0.446
Uluslararası İktisadi ve İdari İncelemeler Dergisi