The Place of Non-performing Loans in the Turkish Banking Sector

Yurttadur, Mustafa; Celiktas, Ender

doi:10.1016/j.procs.2019.09.113

Cited by 17 publications

(14 citation statements)

References 1 publication

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“…The respective empirical studies have focused their investigations on cross‐country evidence or individual countries banking industry. The works of Kjosevski and Petkovski (2017) and Alandejani and Asutay (2017) investigate the panel data of several countries while studies of Atoi (2019), Piatti and Cincinelli (2019), Kjosevski et al (2019), Yurttadur et al (2019), Ünvan and Yakubu (2020), and Bolarinwa et al (2012) focus their investigations on single banking industries. The empirical results of these works vary given differences in datasets, periods, environments, and individual countries.…”

Section: Brief Literature Reviewmentioning

confidence: 99%

Determinants of nonperforming loans after recapitalization in the Nigerian banking industry: Does efficiency matter?

Bolarinwa

Akinyele

2021

Manage Decis Econ

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We examine the intertemporal relationship between nonperforming loans, efficiency and bank recapitalization in the Nigerian banking industry between 2011 and 2018. Using system generalized method of moments (SGMM) and stochastic frontier analysis (SFA), we document the importance of bank efficiency for addressing escalating nonperforming loans in the industry after recapitalization policies and the channels pass‐through between efficiency and the nonperforming loans‐recapitalization nexus. Our results validate the roles of firm‐level and macroeconomic variables: bank size, efficiency, profitability, capitalization, economic growth, inflation, and money supply for addressing nonperforming loans. Also, efficiency passes through recapitalization and bank size to address nonperforming loans. We recommend prudential policies for managerial and profit efficiency and lend supports for CBN's new round of recapitalization policy to address escalating nonperforming loans in the industry.

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Section: Brief Literature Reviewmentioning

confidence: 99%

Determinants of nonperforming loans after recapitalization in the Nigerian banking industry: Does efficiency matter?

Bolarinwa

Akinyele

2021

Manage Decis Econ

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“…Bank-bank dengan tingkat pinjaman yang tinggi terlihat mengganggu kualitas asetnya karena tidak dapat menagih pinjaman, dan terlihat bahwa mereka diarahkan untuk masuk ke dalam pemikiran negatif bank terhadap sektor riil dan ketinggian suku bunga juga berdampak negatif pada kecukupan modal bank Turki dan profitabilitas mereka (Yurttadur, Mustafa;Celiktas, Ender;Celiktas, 2019). NPL berperan penting dalam mempengaruhi penilaian peringkat negara di atas dan di atas pengaruh ketidakpastian, pertumbuhan PDB, rasio utang pemerintah terhadap PDB, rasio investasi terhadap PDB, dan rasio keseimbangan fiskal terhadap PDB (Boumparis et al, 2019).…”

Section: Kajian Teori Dan Hipotesisunclassified

Analisis political uncertainty dan non-performing loan pada bank non devisa di Indonesia

Jufri

Aryanti

Murti

et al. 2021

E-BISMA

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“…Hasil penelitian ini tidak sejalan dengan Yurttadur et al (2019), Yuniarti et al (2018), dan Pop et al (2018) yang menemukan bahwa semakin tinggi NPL akan semakin memperburuk likuiditas bank. Namun hasil penelitian ini sejalan dengan penelitian yang dilakukan oleh Fadillah et al (2018), Kartini dan Nuranisa (2014), serta Santoso dan Sukihanjani (2013), yang menyatakan bahwa NPL tidak berpengaruh terhadap likuiditas.…”

Section: Pembahasanunclassified

Penyaluran Kredit dan Tingkat Likuiditas: Bukti Empiris pada Bank Umum di Indonesia

Bhoka

Yuniarti

Burhan

2021

J. Manaj. dan Kewirausahaan

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This paper examines the effect of bank lending on liquidity. We use the loan-to-deposit ratio as a proxy for liquidity and total loan as a proxy for bank lending. We also consider the measurement of liquidity with non-performing loans (NPL) and return on assets (ROA) as control variables. The sample used is the banks listed on the Indonesia Stock Exchange as many as 42 banks with a total of 184 observations from unbalanced panel data. The analysis used is panel data regression (generalized least squares) with random effects as the best estimation model. We find bank lending to have a positive effect on liquidity, especially for banks that go public. We argue that banks avoid bankruptcy by increasing the proportion of reserves to absorb risk. The results support the “risk absorption” hypothesis (Berger Bouwman, 2009). We also find that return on assets (ROA) has a significant effect on liquidity, but non-performing loans (NPL) have no significant effect on liquidity, proving that banks has managed their reserves by absorbing risk properly.

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The Place of Non-performing Loans in the Turkish Banking Sector

Cited by 17 publications

References 1 publication

Determinants of nonperforming loans after recapitalization in the Nigerian banking industry: Does efficiency matter?

Determinants of nonperforming loans after recapitalization in the Nigerian banking industry: Does efficiency matter?

Analisis political uncertainty dan non-performing loan pada bank non devisa di Indonesia

Penyaluran Kredit dan Tingkat Likuiditas: Bukti Empiris pada Bank Umum di Indonesia

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