Determinants of Non-Performing Loans in Turkish Deposit Banks

The main purpose of this research is to reveal the determinants of non-performing loans (NPLs) of Turkish deposit banks on banking operations. The study aims to evaluate the determinants of non-performing loans in terms of both bank-level data and macroeconomic indicators between 2012 and 2023 by using the method of panel regression analysis for 20 deposit banks. Random model is valid for NPLs by applying Hausmen test. The results of the empirical analysis suggest that the non-performing loans (NPLs) is determined by a series of factors. These factors are listed as bank size, profitability, lending activity and credit quality. Analysis results indicate that the effect of bank size (BS), return on assets (ROA), lending level (LTA) and credit quality (PLLTA) on NPLs are statistically significant.

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Publication Details

Journal
Elektronik Sosyal Bilimler Dergisi
Published
2025-03-27
DOI
https://doi.org/10.17755/esosder.1544203
Primary Topic
Banking stability, regulation, efficiency
Type
article
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article

Determinants of Non-Performing Loans in Turkish Deposit Banks

Serpil Tomak
Elektronik Sosyal Bilimler Dergisi
Banking stability, regulation, efficiency
article

Determinants of Non-Performing Loans in Turkish Deposit Banks

Serpil Tomak
article en

Abstract

The main purpose of this research is to reveal the determinants of non-performing loans (NPLs) of Turkish deposit banks on banking operations. The study aims to evaluate the determinants of non-performing loans in terms of both bank-level data and macroeconomic indicators between 2012 and 2023 by using the method of panel regression analysis for 20 deposit banks. Random model is valid for NPLs by applying Hausmen test. The results of the empirical analysis suggest that the non-performing loans (NPLs) is determined by a series of factors. These factors are listed as bank size, profitability, lending activity and credit quality. Analysis results indicate that the effect of bank size (BS), return on assets (ROA), lending level (LTA) and credit quality (PLLTA) on NPLs are statistically significant.

Elektronik Sosyal Bilimler DergisiVol. 24(2)
Mersin Üniversitesi (TR)
Openalex Percentile: Top 92%
Banking stability, regulation, efficiency
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