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Factors Affecting Non-Performing Loans: A Study on Countries with Different Levels of Development

Yıl 2023, , 131 - 152, 19.04.2024
https://doi.org/10.46520/bddkdergisi.1472164

Öz

The amount of non-performing loans poses a risk for the healthy balance sheet structure of banks. These
loans reduce the profitability of banks, consume their capital base, negatively affect liquidity, disrupt the assetliability
balance, and may cause many other negativities. In this sense, effective monitoring and evaluation of
credit risk is very important, especially for the financial soundness of banks and the stability of the economy. It
is observed in the literature that the factors affecting these loans consist mostly of macroeconomic and sectorspecific
factors. From this perspective, the main purpose of the study is to investigate the factors affecting
problem loans. The aim of the study is to examine the relationship between non-performing loans and their
determinants in terms of 59 countries at different development levels. In addition to evaluating whether the
determinants in question vary according to the income levels of countries, it was investigated how the 2008
global crisis affected problem loans. In this context, 20-year data covering the years 2001–2020 of the group
of high, upper-middle, and lower-middle-income countries was used. In the study, in which the Generalized
Method of Moments (GMM) estimator, one of the dynamic panel data methods, was used, it was determined
that macroeconomic factors were more effective in deteriorating asset quality in terms of country groups than
sector-specific factors. Gross domestic product (GDP), the global crisis, and the persistence of non-performing
loans have been the most effective predictors of non-performing loans overall in high-end, upper-middle, and
lower-middle economies. In this sense, it has been noted that the persistence of non-performing loans in all
country groups is higher in low-income countries, as expected. In addition, during crisis periods, non-performing
loans pose a problem in low-income countries compared to high-income countries, It has been observed that
growth is the main driving force in reducing non-performing loans compared to other macroeconomic variables
in high-income countries. In short, it has been discovered that macroeconomic and sector-specific factors
affecting credit risk in economies at different development levels vary according to the level of welfare.

Kaynakça

  • 1. Abd Karim, M. Z., Chan, S-G., ve Hassan, S. (2010). Bank efficiency and non-performing loans: Evidence from Malaysia and Singapore. Prague Economic Papers, 2: 118-132.
  • 2. Abdioğlu, N., ve Aytekin, S. (2016). Takipteki kredi oranını etkileyen faktörlerin belirlenmesi: Mevduat bankaları üzerinde bir dinamik panel veri uygulaması. İşletme Araştırmaları Dergisi, 8(1): 538-555.
  • 3. Ahmed, S., Majeed, M. E., Thalassinos, E., ve Thalassinos, Y. (2021). The impact of bank specific and macro-economic factors on non-performing loans in the banking sector: Evidence from an emerging economy. Journal of Risk and Financial Management, 14(5): 217.
  • 4. Al-Romaihi, M. A., Kumar, M. ve Kumaraswamy, S. (2020). Macroeconomic determinants of nonperforming loans: An empirical evidence from GCC countries. In 2020 International Conference on Decision Aid Sciences and Application (DASA) (1265-1268). IEEE.
  • 5. Amuakwa–Mensah, F. ve Boakye–Adjei, A. (2015). Determinants of non–performing loans in Ghana banking industry. International Journal of Computational Economics and Econometrics, 5(1): 35-54.
  • 6. Annas, M., Humairoh, H., ve Endri, E. (2024). Macroeconomic and bank-specific factors on nonperforming loan: evidence from an emerging economy. Calitatea, 25(199): 155-161.
  • 7. Arellano, M. ve Bond, S. (1991). Some tests of specification for panel data: Monte Carlo evidence and an application to employment equations. The Review of Economic Studies, 58(2): 277-297.
  • 8. Ari, A., Chen, S. ve Ratnovski, L. (2020). The dynamics of non-performing loans during banking crises: A new database. ECB Working Paper, No. 2395. https://doi.org/10.2866/17485
  • 9. Ayhan, F. ve Kartal, M. T. (2021). The macro economic drivers of non-performing loans (NPL): Evidence from selected countries with heterogeneous panel analysis. MANAS Sosyal Araştırmalar Dergisi, 10(2): 986-999.
  • 10. 1Balgova, M., Nies, M. ve Plekhanov, A. (2016). The economic impact of reducing non-performing loans. EBRD Working Paper No. 193
  • 11. Baltagi, B. H. (2005). Econometric analysis of panel data. 3rd Edition, England John Wiley and Sons Inc., New York.
  • 12. Berger, A.N. ve DeYoung, R. (1997). Problem loans and cost efficiency in commercial banks. Journal of Banking and Finance, 21(6): 849–870
  • 13. Chimkono, E. E., Muturi, W., ve Njeru, A. (2016). Effect of Non-Performing Loans and Other Factors on Performance of Commercial Banks in Malawi. International Journal of Economics, Commerce and Management, 4: 549-563.
  • 14. Curak, M., Pepur, S. ve Poposki, K. (2013). Determinants of non-performing loans evidence from Southeastern European banking systems. Banks and Bank Systems, 8(1): 45-53.
  • 15. Das, A. ve Ghosh, S. (2007). Determinants of credit risk in Indian state-owned banks: An empirical investigation. Economic Issues Journal Articles, 12(2): 27-46.
  • 16. De Lis, F. S., Pagés, J. M. ve Saurina, J. (2001). Credit growth, problem loans and credit risk provisioning in Spain. BIS papers,1: 331-353.
  • 17. Dimitrios, A., Helen, L. ve Mike, T. (2016). Determinants of non-performing loans: Evidence from Euro-Area countries. Finance Research Letters, 18: 116-119.
  • 18. Erk, H., Üçdoğruk Birecikli, Ş. ve Emeç, H. (2022). Enflasyon hedeflemesi rejiminin taylor kuralı kapsamında heterojen panel veri analiziyle incelenmesi. Bingöl Üniversitesi İktisadi ve İdari Bilimler Fakültesi, 6(1): 375-409.
  • 19. Erol, H. (2007). Bankalarda net faiz marjlarının belirleyicileri, risk duyarlılığı ve politika önerileri [Uzmanlık Yeterlilik Tezi], Bankacılık ve Finansal Kuruluşlar Genel Müdürlüğü.
  • 20. Espinoza, R. ve Prasad, A. (2010). Non-performing loans in the GCC banking system and their macroeconomic effects. International Monetary Fund Working Papers, 224: 1-24.
  • 21. Farooq, M. O., Elseoud, M. S. A., Turen, S. ve Abdulla, M. (2019). Causes of non-performing loans: The experience of Gulf Cooperation Council Countries. Entrepreneurship and Sustainability Issues, 6(4): 1955-1974.
  • 22. Fofack, H. (2005). Non-performing loans in Sub-Saharan Africa: Causal analysis and macroeconomic implications. World Bank Policy Research Working 3769, 1-36.
  • 23. Fredriksson, O. ve Frykström, N. (2019). Bad loans and their effects on banks and financial stability. Sveriges RiskBank, Economic Commentaries, (2).
  • 24. Gabeshi, K. (2017). The impact of macroeconomic and bank specific factors on Albanian nonperforming loans. European Journal of Sustainable Development Research, 2(1): 95-102.
  • 25. Ghosh, A. (2015). Banking-industry specific and regional economic determinants of nonperforming loans: Evidence from US States. Journal of Financial Stability, 20: 93-104.
  • 26. Im, K. S., Pesaran, M. H. ve Shin, Y. (2003). Testing for unit roots in heterogeneous panels. Journal of Econometrics, 115(1): 53-74.
  • 27. IMF (International Monetary Fund). (2006). Financial Soundness Indicators Compilation Guide. Washington, D.C. 20431, U.S.A.
  • 28. Islatince, H. ve Firat, A. M. (2022). Examination of the relationship between non-performing loans and macro-economic variables in banking sector: The case of Turkey (2003-2020). International Journal of Academic Research in Economics and Management and Sciences, 11(3): 658–679.
  • 29. Işık, O. ve Bolat, S. (2016). Determinants of non-performing loans of deposit banks in Turkey. Journal of Business, Economics and Finance (JBEF), 5(4): 341-350.
  • 30. Jouini, J. ve Obeid, R. (2020). Determinants of the non-performing loans in the Arab banking sector: Evidence from dynamic panel data models. Arab Monetary Fund, 1-37.
  • 31. Kartal, M. T., Ayhan, F., ve Altaylar, M. (2023). The impacts of financial and macroeconomic factors on financial stability in emerging countries: evidence from Turkey’s nonperforming loans. Journal of Risk, 25(3).
  • 32. Kartal, M. T., Depren, Ö., ve Depren, S. K. (2020). Determination of influential financial factors on non-performing loans: evidence from Turkey. International Journal of Monetary Economics and Finance, 13(6): 569-584.
  • 33. Kartal, M. T., Kirikkaleli, D., ve Ayhan, F. (2023). Nexus between non-performing loans and economic growth in emerging countries: Evidence from Turkey with wavelet coherence approach. International Journal of Finance ve Economics, 28(2): 1250-1260.
  • 34. Keeton, W. R. ve Morris, C. S. (1987). Why do banks’ loan losses differ. Economic Review, 72(5): 3-21.
  • 35. Kjosevski, J. ve Petkovski, M. (2016). Non-performing loans in Baltic States: Determinants and macroeconomic effects. Baltic Journal of Economics, 17(1): 25-44.
  • 36. Kjosevski, J., Petkovski, M. ve Naumovska, E. (2019). Bank-specific and macroeconomic determinants of non-performing loans in the republic of Macedonia: Comparative analysis of enterprise and household NPLs. Economic Research, 32(1): 1185–1203.
  • 37. Klein, N. (2013). Non-performing loans in CESEE: Determinants and impact on macroeconomic performance. International Monetary Fund Working Papers, 13(72): 1-26.
  • 38. Kumar, V. ve Kishore, P. (2019). Macroeconomic and bank specific determinants of nonperforming loans in UAE conventional bank. Journal of Banking and Finance Management, 2(1): 1-12.
  • 39. Kupcinskas, K., ve Paskevicius, A. (2017). Key factors of non-performing loans in Baltic and Scandinavian countries: Lessons learned in the last decade. Ekonomika, 96(2): 43-55.
  • 40. Leka, B., Bajrami, E. ve Duci, E. (2019). Key macroeconomic drivers on reducing non-performing loans in Albania. Academic Journal of Interdisciplinary Studies, 8(2): 88-95.
  • 41. Louzis, D. P., Vouldis, A. T., ve Metaxas, V. L. (2010). Macroeconomic and bank-specific determinants of non-performing loans in Greece: A comparative study of mortgage, business and consumer loan portfolios. Journal of Banking ve Finance, 36(4): 1012-1027.
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  • 48. Ozili, P. K. (2018). Non-performing loans in European systemic and non-systemic banks. Journal of Financial Economic Policy, 1-20.
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Sorunlu Kredilere Etki Eden Faktörler: Farklı Gelişmişlik Düzeyindeki Ülkeler Üzerine Bir Araştırma

Yıl 2023, , 131 - 152, 19.04.2024
https://doi.org/10.46520/bddkdergisi.1472164

Öz

Sorunlu kredilerin tutarı bankaların sağlıklı bilanço yapısı için risk oluşturlar. Söz konusu krediler bankaların
kârlılığını düşürür, sermaye tabanlarını tüketir, likiditeyi negatif etkiler, aktif-pasif dengesini bozar bunun gibi
daha birçok olumsuzluğa sebep olabilir. Bu anlamda kredi riskinin etkin şekilde izlenmesi ve değerlendirilmesi
başta bankaların finansal sağlamlığı ve ekonominin istikrarı açısından oldukça önemlidir. Alan yazında söz
konusu kredileri etkileyen unsurların daha çok makroekonomik ve sektöre özgü faktörlerden meydana geldiği
gözlemlenmektedir. Bu perspektifle sorunlu kredileri etkileyen unsurların araştırılması çalışmanın temel gayesini
oluşturmaktadır. Çalışmada sorunlu krediler ile belirleyicileri arasındaki ilişkinin farklı gelişmişlik düzeyindeki 59
ülke açısından incelenmesi amaçlanmıştır. Söz konusu belirleyicilerin ülkelerin gelir seviyelerine göre değişip
değişmediğinin değerlendirmesi dışında 2008 küresel krizinin sorunlu kredileri nasıl etkilediği araştırılmıştır.
Bu bağlamda yüksek, üst-orta ve alt-orta gelirli ülkeler grubunun 2001-2020 yıllarını kapsayan 20 yıllık verileri
kullanılmıştır. Dinamik panel veri yöntemlerinden Genelleştirilmiş Momentler Metodu (GMM) tahmincisinin
kullanıldığı çalışmada makroekonomik faktörlerin sektöre özgü faktörlere göre ülke grupları açısından aktif
kalitesini bozmada daha etkili olduğu saptanmıştır. Gayri safi yurtiçi hâsıla (GSYİH), küresel kriz ve sorunlu
kredilerin kalıcılığı, yüksek, üst-orta ve alt-orta ekonomilerde genel anlamda takipteki kredilerin en etkili tahmin
edicileri olmuştur. Bu anlamda tüm ülke gruplarında kalıcılık gösteren sorunlu krediler oranının beklenildiği
gibi düşük gelirli ülkelerde daha yüksek bulunduğu kaydedilmiştir. Ayrıca kriz dönemlerinde sorunlu kredilerin,
yüksek gelirli ülkelere nispeten gelir düzeyi düşük ülkelerde problem teşkil ettiği, büyümenin ise gelir grubu
yüksek ülkelerde diğer makroekonomik değişkenlerle karşılaştırıldığında sorunlu kredileri azaltmada temel
itici güç olduğu gözlemlenmiştir. Kısaca farklı gelişmişlik düzeyindeki ekonomilerde kredi riskini etkileyen
makroekonomik ve sektöre özgü faktörlerin refah seviyesine göre farklılık gösterdiği keşfedilmiştir.

Kaynakça

  • 1. Abd Karim, M. Z., Chan, S-G., ve Hassan, S. (2010). Bank efficiency and non-performing loans: Evidence from Malaysia and Singapore. Prague Economic Papers, 2: 118-132.
  • 2. Abdioğlu, N., ve Aytekin, S. (2016). Takipteki kredi oranını etkileyen faktörlerin belirlenmesi: Mevduat bankaları üzerinde bir dinamik panel veri uygulaması. İşletme Araştırmaları Dergisi, 8(1): 538-555.
  • 3. Ahmed, S., Majeed, M. E., Thalassinos, E., ve Thalassinos, Y. (2021). The impact of bank specific and macro-economic factors on non-performing loans in the banking sector: Evidence from an emerging economy. Journal of Risk and Financial Management, 14(5): 217.
  • 4. Al-Romaihi, M. A., Kumar, M. ve Kumaraswamy, S. (2020). Macroeconomic determinants of nonperforming loans: An empirical evidence from GCC countries. In 2020 International Conference on Decision Aid Sciences and Application (DASA) (1265-1268). IEEE.
  • 5. Amuakwa–Mensah, F. ve Boakye–Adjei, A. (2015). Determinants of non–performing loans in Ghana banking industry. International Journal of Computational Economics and Econometrics, 5(1): 35-54.
  • 6. Annas, M., Humairoh, H., ve Endri, E. (2024). Macroeconomic and bank-specific factors on nonperforming loan: evidence from an emerging economy. Calitatea, 25(199): 155-161.
  • 7. Arellano, M. ve Bond, S. (1991). Some tests of specification for panel data: Monte Carlo evidence and an application to employment equations. The Review of Economic Studies, 58(2): 277-297.
  • 8. Ari, A., Chen, S. ve Ratnovski, L. (2020). The dynamics of non-performing loans during banking crises: A new database. ECB Working Paper, No. 2395. https://doi.org/10.2866/17485
  • 9. Ayhan, F. ve Kartal, M. T. (2021). The macro economic drivers of non-performing loans (NPL): Evidence from selected countries with heterogeneous panel analysis. MANAS Sosyal Araştırmalar Dergisi, 10(2): 986-999.
  • 10. 1Balgova, M., Nies, M. ve Plekhanov, A. (2016). The economic impact of reducing non-performing loans. EBRD Working Paper No. 193
  • 11. Baltagi, B. H. (2005). Econometric analysis of panel data. 3rd Edition, England John Wiley and Sons Inc., New York.
  • 12. Berger, A.N. ve DeYoung, R. (1997). Problem loans and cost efficiency in commercial banks. Journal of Banking and Finance, 21(6): 849–870
  • 13. Chimkono, E. E., Muturi, W., ve Njeru, A. (2016). Effect of Non-Performing Loans and Other Factors on Performance of Commercial Banks in Malawi. International Journal of Economics, Commerce and Management, 4: 549-563.
  • 14. Curak, M., Pepur, S. ve Poposki, K. (2013). Determinants of non-performing loans evidence from Southeastern European banking systems. Banks and Bank Systems, 8(1): 45-53.
  • 15. Das, A. ve Ghosh, S. (2007). Determinants of credit risk in Indian state-owned banks: An empirical investigation. Economic Issues Journal Articles, 12(2): 27-46.
  • 16. De Lis, F. S., Pagés, J. M. ve Saurina, J. (2001). Credit growth, problem loans and credit risk provisioning in Spain. BIS papers,1: 331-353.
  • 17. Dimitrios, A., Helen, L. ve Mike, T. (2016). Determinants of non-performing loans: Evidence from Euro-Area countries. Finance Research Letters, 18: 116-119.
  • 18. Erk, H., Üçdoğruk Birecikli, Ş. ve Emeç, H. (2022). Enflasyon hedeflemesi rejiminin taylor kuralı kapsamında heterojen panel veri analiziyle incelenmesi. Bingöl Üniversitesi İktisadi ve İdari Bilimler Fakültesi, 6(1): 375-409.
  • 19. Erol, H. (2007). Bankalarda net faiz marjlarının belirleyicileri, risk duyarlılığı ve politika önerileri [Uzmanlık Yeterlilik Tezi], Bankacılık ve Finansal Kuruluşlar Genel Müdürlüğü.
  • 20. Espinoza, R. ve Prasad, A. (2010). Non-performing loans in the GCC banking system and their macroeconomic effects. International Monetary Fund Working Papers, 224: 1-24.
  • 21. Farooq, M. O., Elseoud, M. S. A., Turen, S. ve Abdulla, M. (2019). Causes of non-performing loans: The experience of Gulf Cooperation Council Countries. Entrepreneurship and Sustainability Issues, 6(4): 1955-1974.
  • 22. Fofack, H. (2005). Non-performing loans in Sub-Saharan Africa: Causal analysis and macroeconomic implications. World Bank Policy Research Working 3769, 1-36.
  • 23. Fredriksson, O. ve Frykström, N. (2019). Bad loans and their effects on banks and financial stability. Sveriges RiskBank, Economic Commentaries, (2).
  • 24. Gabeshi, K. (2017). The impact of macroeconomic and bank specific factors on Albanian nonperforming loans. European Journal of Sustainable Development Research, 2(1): 95-102.
  • 25. Ghosh, A. (2015). Banking-industry specific and regional economic determinants of nonperforming loans: Evidence from US States. Journal of Financial Stability, 20: 93-104.
  • 26. Im, K. S., Pesaran, M. H. ve Shin, Y. (2003). Testing for unit roots in heterogeneous panels. Journal of Econometrics, 115(1): 53-74.
  • 27. IMF (International Monetary Fund). (2006). Financial Soundness Indicators Compilation Guide. Washington, D.C. 20431, U.S.A.
  • 28. Islatince, H. ve Firat, A. M. (2022). Examination of the relationship between non-performing loans and macro-economic variables in banking sector: The case of Turkey (2003-2020). International Journal of Academic Research in Economics and Management and Sciences, 11(3): 658–679.
  • 29. Işık, O. ve Bolat, S. (2016). Determinants of non-performing loans of deposit banks in Turkey. Journal of Business, Economics and Finance (JBEF), 5(4): 341-350.
  • 30. Jouini, J. ve Obeid, R. (2020). Determinants of the non-performing loans in the Arab banking sector: Evidence from dynamic panel data models. Arab Monetary Fund, 1-37.
  • 31. Kartal, M. T., Ayhan, F., ve Altaylar, M. (2023). The impacts of financial and macroeconomic factors on financial stability in emerging countries: evidence from Turkey’s nonperforming loans. Journal of Risk, 25(3).
  • 32. Kartal, M. T., Depren, Ö., ve Depren, S. K. (2020). Determination of influential financial factors on non-performing loans: evidence from Turkey. International Journal of Monetary Economics and Finance, 13(6): 569-584.
  • 33. Kartal, M. T., Kirikkaleli, D., ve Ayhan, F. (2023). Nexus between non-performing loans and economic growth in emerging countries: Evidence from Turkey with wavelet coherence approach. International Journal of Finance ve Economics, 28(2): 1250-1260.
  • 34. Keeton, W. R. ve Morris, C. S. (1987). Why do banks’ loan losses differ. Economic Review, 72(5): 3-21.
  • 35. Kjosevski, J. ve Petkovski, M. (2016). Non-performing loans in Baltic States: Determinants and macroeconomic effects. Baltic Journal of Economics, 17(1): 25-44.
  • 36. Kjosevski, J., Petkovski, M. ve Naumovska, E. (2019). Bank-specific and macroeconomic determinants of non-performing loans in the republic of Macedonia: Comparative analysis of enterprise and household NPLs. Economic Research, 32(1): 1185–1203.
  • 37. Klein, N. (2013). Non-performing loans in CESEE: Determinants and impact on macroeconomic performance. International Monetary Fund Working Papers, 13(72): 1-26.
  • 38. Kumar, V. ve Kishore, P. (2019). Macroeconomic and bank specific determinants of nonperforming loans in UAE conventional bank. Journal of Banking and Finance Management, 2(1): 1-12.
  • 39. Kupcinskas, K., ve Paskevicius, A. (2017). Key factors of non-performing loans in Baltic and Scandinavian countries: Lessons learned in the last decade. Ekonomika, 96(2): 43-55.
  • 40. Leka, B., Bajrami, E. ve Duci, E. (2019). Key macroeconomic drivers on reducing non-performing loans in Albania. Academic Journal of Interdisciplinary Studies, 8(2): 88-95.
  • 41. Louzis, D. P., Vouldis, A. T., ve Metaxas, V. L. (2010). Macroeconomic and bank-specific determinants of non-performing loans in Greece: A comparative study of mortgage, business and consumer loan portfolios. Journal of Banking ve Finance, 36(4): 1012-1027.
  • 42. Macit, F. ve Keçeli, B. (2012). Takipteki kredi oranını etkileyen faktörler: Türkiye’de katılım bankları örneği. Avrasya İnceleme Dergisi, 1(1): 193-207.
  • 43. Makri, V., Tsagkanos, A. ve Bellas, A. (2014). Determinants of non-performing loans: The case of Eurozone. Panoeconomicus, 61(2): 193-206.
  • 44. Mpofu, T. R. ve Nikolaidou, E. (2018). Determinants of credit risk in the banking system in Sub- Saharan Africa. Review of Development Finance, 8(2): 141-153.
  • 45. Nkusu, M. M. (2011). Nonperforming loans and macrofinancial vulnerabilities in advanced economies. International Monetary Fund Working Paper.
  • 46. Nurja, I. ve Kufo, A. (2016). Non-performing loans and government taxes in the Albanian banking system. Mediterranean Journal of Social Sciences, 7(6): 129-132.
  • 47. Ouhibi, S., ve Hammami, S. (2015). Determinants of nonperforming loans in the Southern Mediterranean countries. International Journal of Accounting and Economics Studies, 3(1): 50-53.
  • 48. Ozili, P. K. (2018). Non-performing loans in European systemic and non-systemic banks. Journal of Financial Economic Policy, 1-20.
  • 49. Önder, Ş., Önder, H. ve Akbaş, F. (2019). Katılım bankacılığında takipteki fonların makroekonomik belirleyicileri: Türkiye örneği. TKBB, Katılım Finansmanında Yeni Yaklaşımlar, 2(11): 137-161.
  • 50. Rajha, K. S. (2017). Determinants of non-performing loans: Evidence from the Jordanian banking sector. Journal of Finance and Bank Management, 5(1): 54-65.
  • 51. Salas, V. ve Saurina J. (2002). Credit Risk in Two Institutional Regimes: Spanish Commercial and Savings Banks. Journal of Financial Services Research, 22(3): 203-224, http://dx.doi. org/10.1023/a:1019781109676.
  • 52. Serrano, A. S. (2021). The impact of non-performing loans on bank lending in Europe: An empirical analysis. North American Journal of Economics and Finance, 55: 1-12.
  • 53. Shahidul, I. M., ve Shin-Ichi, N. I. S. H. I. Y. A. M. A. (2016). The determinants of nonperforming loans: Dynamic panel evidence from South Asian countries. DSSR Discussion Papers, (64): 1-34.
  • 54. Szarowska, I. (2018). Effect of macroeconomic determinants on non-performing loans in Central and Eastern European countries. International Journal of Monetary Economics and Finance, 11(1): 20-35.
  • 55. Tekşen, Ö. ve Çelik, M. (2018). Kredi türlerinin takipteki krediler oranına etkisi: Varlık temelli krediler yüksek takipteki krediler oranı için bir kalkan mı?. Muhasebe ve Finansman Dergisi, 79: 95-110.
  • 56. Trung, N. K. Q. ve Dung, N. T. P. (2018). Micro-determinals of non-performing loans: Evidence from Vietnamese banks. Review of Finance, 1(4): 25-31.
  • 57. Turan, G., ve Koskija, A. (2014). Nonperforming loans in Albania. Academic Journal of Interdisciplinary Studies, 3(3): 491-500.
  • 58. Us, V. (2016). Determinants of non-performing loans in the Turkish banking sector: What has changed after the global crisis?. CBT Research Notes in Economics, 1-14.
  • 59. Vithessonthi, C. (2016). Deflation, bank credit growth, and non-performing loans: Evidence from Japan. International Review of Financial Analysis, 45: 295-305.
  • 60. Vogiazas, S. D. ve Nikolaidou, E. (2011). Investigating the determinants of nonperforming loans in the Romanian banking system: An empirical study with reference to the Greek crisis. Economics Research International, 1-13. doi:10.1155/2011/214689.
  • 61. Yiğitbaş, Ş. B. (2015). Banka kredilerinde ters seçim ve ahlaki tehlike etkisi. Doğuş Üniversitesi Dergisi, 16(1): 15-23.
  • 62. Zainol, J. M., Nor, A. M., İbrahim, S. N. ve Daud, S. (2018). Macroeconomics determinants of nonperforming loans in Malaysia: An ARDL approach. International Journal of Academic Research in Business and Social Sciences, 8(10): 692–706.
  • 63. Winarso, E., Gunanta, R., ve Prayitno, Y.H. (2020). Analysis of non performing loans (NPL) and net interest margin (NIM) on the bank’s performance based on the classification of business activities (BUKU) registered with the financial services authority (OJK) period 2016 to 2018. European Journal of Accounting, Auditing and Finance Research. 8(9): 1-24.
  • 64. Yağcılar, G. G., ve Demir, S. (2015). Türk bankacılık sektöründe takipteki kredi oranları üzerinde etkili olan faktörlerin belirlenmesi. Uluslararası Alanya İşletme Fakültesi Dergisi, 7(1).
  • 65. Ahmad, F., ve Bashir, T. (2013). Explanatory power of macroeconomic variables as determinants of non-performing loans: Evidence form Pakistan. World Applied Sciences Journal, 22(2): 243- 255.
Toplam 65 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Bankacılık ve Sigortacılık (Diğer)
Bölüm Araştırma Makaleleri
Yazarlar

Nur Esra Bekereci 0000-0003-4625-5132

Mustafa Kısakürek 0000-0003-2351-4314

Yücel Ayrıçay Bu kişi benim 0000-0001-5148-391X

Yayımlanma Tarihi 19 Nisan 2024
Gönderilme Tarihi 25 Ocak 2024
Kabul Tarihi 16 Nisan 2024
Yayımlandığı Sayı Yıl 2023

Kaynak Göster

APA Bekereci, N. E., Kısakürek, M., & Ayrıçay, Y. (2024). Sorunlu Kredilere Etki Eden Faktörler: Farklı Gelişmişlik Düzeyindeki Ülkeler Üzerine Bir Araştırma. BDDK Bankacılık Ve Finansal Piyasalar Dergisi, 17(2), 131-152. https://doi.org/10.46520/bddkdergisi.1472164