Araştırma Makalesi
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GELİŞMEKTE OLAN ÜLKELERDE DONUK KREDİLER VE BANKA YOĞUNLAŞMALARININ BİRLİKTE HAREKET ANALİZİ: DALGACIK TUTARLILIĞI YAKLAŞIMI

Yıl 2023, Cilt: 11 Sayı: 1, 91 - 100, 30.06.2023
https://doi.org/10.52122/nisantasisbd.1105929

Öz

This study analyzes the link between non-performing loans (NPL) and bank concentrations in Turkey using the wavelet coherence approach. In line with the expectation of the present study, there were fluctuations in NPL by 5 and 7 banking concentrations between 2000 and 2003. Moreover, NPL ratios in the long term cause 5 and 7 banking concentrations. It is concluded that NPL in the Turkish banking sector is active on the size of asset concentration ratios of the largest 5 and 7 banks. Additionally, there is a positive correlation between NPL and 5 and 7 bank concentrations during the domestic banking crisis.

Kaynakça

  • Ali, M. S. B., Intissar, T., & Zeitun, R. (2018). Banking Concentration and Financial Stability. New Evidence from Developed and Developing Countries. Eastern Economic Journal, 44(1), 117-134.
  • Beck, T., Demirgüç-Kunt, A., & Levine, R. (2006). Bank concentration, competition, and crises: First results. Journal of Banking & Finance, 30(5), 1581-1603.
  • Goupillaud, P., Grossmann, A., & Morlet, J. (1984). Cycle-octave and related transforms in seismic signal analysis. Geoexploration, 23(1), 85-102.
  • Hassan, H. U., Ilyas, M., & Rehman, C. A. (2014). Quantitative study of bank-specific and social factors of non-performing loans of Pakistani Banking Sector. International Letters of Social and Humanistic Sciences, 43, 192-213.
  • Kasman, S., & Kasman, A. (2015). Bank competition, concentration and financial stability in the Turkish banking industry. Economic Systems, 39(3), 502-517. Kirikkaleli, D., & Gokmenoglu, K. K. (2019). Sovereign credit risk and economic risk in Turkey: Empirical evidence from a wavelet coherence approach. Borsa Istanbul Review.
  • Konstantakis, K. N., Michaelides, P. G., & Vouldis, A. T. (2016). Non performing loans (NPLs) in a crisis economy: Long-run equilibrium analysis with a real time VEC model for Greece (2001–2015). Physica A: Statistical Mechanics and its Applications, 451, 149-161. Korkmaz, Ö., Erer, D., & Erer, E. (2016). Bankacılık Sektöründe Yoğunlaşma İle Finansal Kırılganlık Arasındaki İlişki: Türkiye Örneği (2007-2014). Journal of Accounting & Finance, (69).
  • Louzis, D. P., Vouldis, A. T., & Metaxas, V. L. (2012). Macroeconomic and bank-specific determinants of non-performing loans in Greece: A comparative study of mortgage, business and consumer loan portfolios. Journal of Banking & Finance, 36(4), 1012-1027.
  • Pal, D., & Mitra, S. K. (2017). Time-frequency contained co-movement of crude oil and world food prices: A wavelet-based analysis. Energy Economics, 62, 230-239. Tiryaki, G. (2012). The relationship between financial stability and banking regulations in Turkey (1990-2010).
  • Torrence, C., & Compo, G. P. (1998). A practical guide to wavelet analysis. Bulletin of the American Meteorological society, 79(1), 61-78.
  • Vithessonthi, C. (2016). Deflation, bank credit growth, and non-performing loans: Evidence from Japan. International review of financial analysis, 45, 295-305.
  • Waqas, M., Fatima, N., Khan, A., & Arif, M. (2017). Determinants of Non-performing Loans: A Comparative Study of Pakistan, India, and Bangladesh. International Journal of Finance & Banking Studies, 6(1), 51.

CO-MOVEMENT OF NON-PERFORMING LOANS AND BANK CONCENTRATIONS IN AN EMERGING MARKET: A WAVELET COHERENCE APPROACH

Yıl 2023, Cilt: 11 Sayı: 1, 91 - 100, 30.06.2023
https://doi.org/10.52122/nisantasisbd.1105929

Öz

This study analyzes the link between non-performing loans (NPL) and bank concentrations in Turkey using the wavelet coherence approach. In line with the expectation of the present study, there were fluctuations in NPL by 5 and 7 banking concentrations between 2000 and 2003. Moreover, NPL ratios in the long term cause 5 and 7 banking concentrations. It is concluded that NPL in the Turkish banking sector is active on the size of asset concentration ratios of the largest 5 and 7 banks. Additionally, there is a positive correlation between NPL and 5 and 7 bank concentrations during the domestic banking crisis.

Kaynakça

  • Ali, M. S. B., Intissar, T., & Zeitun, R. (2018). Banking Concentration and Financial Stability. New Evidence from Developed and Developing Countries. Eastern Economic Journal, 44(1), 117-134.
  • Beck, T., Demirgüç-Kunt, A., & Levine, R. (2006). Bank concentration, competition, and crises: First results. Journal of Banking & Finance, 30(5), 1581-1603.
  • Goupillaud, P., Grossmann, A., & Morlet, J. (1984). Cycle-octave and related transforms in seismic signal analysis. Geoexploration, 23(1), 85-102.
  • Hassan, H. U., Ilyas, M., & Rehman, C. A. (2014). Quantitative study of bank-specific and social factors of non-performing loans of Pakistani Banking Sector. International Letters of Social and Humanistic Sciences, 43, 192-213.
  • Kasman, S., & Kasman, A. (2015). Bank competition, concentration and financial stability in the Turkish banking industry. Economic Systems, 39(3), 502-517. Kirikkaleli, D., & Gokmenoglu, K. K. (2019). Sovereign credit risk and economic risk in Turkey: Empirical evidence from a wavelet coherence approach. Borsa Istanbul Review.
  • Konstantakis, K. N., Michaelides, P. G., & Vouldis, A. T. (2016). Non performing loans (NPLs) in a crisis economy: Long-run equilibrium analysis with a real time VEC model for Greece (2001–2015). Physica A: Statistical Mechanics and its Applications, 451, 149-161. Korkmaz, Ö., Erer, D., & Erer, E. (2016). Bankacılık Sektöründe Yoğunlaşma İle Finansal Kırılganlık Arasındaki İlişki: Türkiye Örneği (2007-2014). Journal of Accounting & Finance, (69).
  • Louzis, D. P., Vouldis, A. T., & Metaxas, V. L. (2012). Macroeconomic and bank-specific determinants of non-performing loans in Greece: A comparative study of mortgage, business and consumer loan portfolios. Journal of Banking & Finance, 36(4), 1012-1027.
  • Pal, D., & Mitra, S. K. (2017). Time-frequency contained co-movement of crude oil and world food prices: A wavelet-based analysis. Energy Economics, 62, 230-239. Tiryaki, G. (2012). The relationship between financial stability and banking regulations in Turkey (1990-2010).
  • Torrence, C., & Compo, G. P. (1998). A practical guide to wavelet analysis. Bulletin of the American Meteorological society, 79(1), 61-78.
  • Vithessonthi, C. (2016). Deflation, bank credit growth, and non-performing loans: Evidence from Japan. International review of financial analysis, 45, 295-305.
  • Waqas, M., Fatima, N., Khan, A., & Arif, M. (2017). Determinants of Non-performing Loans: A Comparative Study of Pakistan, India, and Bangladesh. International Journal of Finance & Banking Studies, 6(1), 51.
Toplam 11 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Bölüm Araştırma Makalesi
Yazarlar

Şükrü Umarbeyli 0000-0001-7745-0606

Dervis Kirikkaleli 0000-0001-5733-5045

Yayımlanma Tarihi 30 Haziran 2023
Yayımlandığı Sayı Yıl 2023 Cilt: 11 Sayı: 1

Kaynak Göster

APA Umarbeyli, Ş., & Kirikkaleli, D. (2023). CO-MOVEMENT OF NON-PERFORMING LOANS AND BANK CONCENTRATIONS IN AN EMERGING MARKET: A WAVELET COHERENCE APPROACH. Nişantaşı Üniversitesi Sosyal Bilimler Dergisi, 11(1), 91-100. https://doi.org/10.52122/nisantasisbd.1105929

Nişantaşı Üniversitesi kurumsal yayınıdır.