Banking sector is the key to financial markets especially in developing countries. The performance of the banking system, which affects all markets in terms of ensuring financial stability of the countries, is also important. In this study, the short and long term relationship between macroeconomic variables that may affect the profitability of the banks and selected ratios as financial variables have been researched. When the empirical results are examined, it is seen that all variables used in the study are statistically significant, the ratio of the non-performing loans and inflation are negatively influences the performance of banks according to the long term coefficients whereas the ratio of total credits/total assets and economic growth rates positively affects. The error correction parameter is found negative and statistically significant. Accordingly, it is seen that approximately 38,34% of the deviation from the long-run equilibrium between bank performance and total loans, non-performing loans, economic growth and inflation is eliminated in the following period
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Almekhlafi, E., Almekhlafi, K., Kargbo, M., & Hu, X. (2016). A Study of Credit Risk and Commercial Banks’ Performance in Yemen: Panel Evidence. Journal of Management, 4(1), 57-69.
Baltagi, B.H., 2005. Econometric analysis of panel data. 3rd Edn., USA: John Wiley&Sons
Bertin, M., Arias Moya, J., & Rodriguez Perales, A. (2014). Determinants of bank performance: evidence for Latin America. Academia Revista Latinoamericana de Administración, 27(2), 164-182.
Berríos, M. R. (2013). The relationship between bank credit risk and profitability and liquidity. The International Journal of Business and Finance Research, 7(3), 105- 118.
Bhattarai, Y. R. (2016). Effect of Credit Risk on the Performance of Nepalese Commercial Banks. NRB Economic Review.
Boahene, S. H., Dasah, J., & Agyei, S. K. (2012). Credit risk and profitability of selected banks in Ghana. Research Journal of finance and accounting, 3(7), 6-14.
Cantrell, B. W., McInnis, J. M., & Yust, C. G. (2013). Predicting credit losses: Loan fair values versus historical costs. The Accounting Review, 89(1), 147-176.
Chang, Y. T. (2006). Role of Non-Performing Loans (NPLs) and Capital Adequacy in Banking Structure and Competition. Economic & Social Research Council. Center for Competition Policy. ISSN, 1745-9648.
Çil Yavuz N., "Finansal Ekonometri", DER Yayınları, İSTANBUL, 2014, p.283.
Ellul, A., & Yerramilli, V. (2013). Stronger risk controls, lower risk: Evidence from US bank holding companies. The Journal of Finance, 68(5), 1757-1803.
Gujarati, Damodar (2016), Örneklerle Ekonometri, Çev. Nasip Bolatoğlu, 2. Baskı, Palgrave Macmillan Pres.p. 405.
Gülhan, Ü., & Uzunlar, E. (2011). Bankacılık Sektöründe Kârlılığı Etkileyen Faktörler: Türk Bankacılık Sektörüne Yönelik Bir Uygulama/Factors Influencing the Bank Profitability: an Apllication on Turkish Banking Sector. Atatürk Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 15(1).
Im, K.S., M.H. Pesaran and Y. Shin, (2003), “Testing for unitroots in heterogeneous panels”, Journal of Econometrics, Cilt. 115, Sayı.1, (53-74).
Kaaya, I., & Pastory, D. (2013). Credit risk and commercial banks performance in Tanzania: A panel data analysis. Research Journal of Finance and Accounting, 4(16), 55-62.
Klein, N. (2013). Non-Performing Loans in CESEE: Determinants and Macroeconomic Performance IMF Working Paper. WP13/72.
KMPG, (2017). Sektörel Bakış Bankacılık, 1-9
https://home.kpmg.com/tr/tr/home/insights/2017/01/sektorel-bakisbankacilik.html. (10.04.2017)
Levin, C.F. Lin and C.S.J. Chu, 2002. Unit root tests in panel data: Asymptotic and finite-sample properties. Journal of Econometrics, Cilt.108, Sayı.1, (1-24).
Madushani, B. D. A., & Madurapperuma, M. W. (2016). The Relationship between Credit Risk and Bank Performance: A Study of Commercial Banks in Sri Lanka. 2. International Conference for Accounting Researchers and Educators Proceedings
Nelson, C. R., and Plosser, C. R. (1982). Trends and random walks in macroeconomic time series: some evidence and implications. Journal of monetary economics, 10(2), 139-162.
Pesaran, M. H. (2004). General diagnostic tests for cross section dependence in panels.
Pesaran, M. H, Shin, Y, Smith, R. J.(2001). Bounds testing approaches to the analysis of level relationships. Journal of Applied Econometrics, Vol. 16, p. 289-326.
Rozzani, N., & Rahman, R. A. (2013). Determinants of Bank Performance: Conventional versus Islamic. Jurnal Pengurusan, 39, 129-139.
Rufai, A. S. (2013). Efficacy of Credit Risk Management on the Performance of Banks in Nigeria A Study of Union Bank PLC (2006-2010). Global Journal of Management and Business Research Administration and Management, 13(4).
Samuel, O. L. (2015). The effect of credit risk on the performance of commercial banks in Nigeria. African Journal of Accounting, Auditing and Finance, 4(1), 29-52.
Taskin, F. D. (2011). Türkiye’de Ticari Bankalarin Performansini Etkileyen Faktörler/The Factors Affecting The Performance of The Turkish Commercial Banks. Ege Akademik Bakis, 11(2), 289.
Yücememiş, B.T. & Sözer, İ.A. (2011) Bankalarda Takipteki Krediler: Türk Bankacılık Sektöründe Takipteki Kredilerin Tahminine Yönelik bir Model Uygulaması, Finansal Araştırmalar ve Çalışmalar Dergisi, Cilt:3, Sayı: 5.