Berger, A., Davies, A.M. ve Elannery, M.I.. (2000). Comparing Market and Su- pervisory Assessments of Bank Performance: Who Knows What When?. Jour- nal of Money, Credit, and Banking, 32(3): 642-667.
Berger, A.N. ve Davies, S.M.. (1998). The Information Content of Bank Exami- nations. Journal of Financial Services Research, 14(2): 117-144.
BIS. (2006a). Core Princeples for Effective Banking Supervision. Basel Commit- tee on Banking Supervision, October.
BIS. (2006b). International Convergence of Capital Measurement and Capital Stamdards. Basel Committee on Banking Supervision, June.
Federal Deposit Insurance Corporation, Banking and Economic Review, 6-11.
Hirtle, B.J. ve Lopez, J.A., (1999). Supervisory Information and the Frequency of Bank Examinations. Federal Reserve Bank of New York Economıc Policy Re- view, April , 1-19.
Jagtiani, J., Kolari, J. ve Lemieux Shin, H.. (2003). Early Warning Models for Bank Supervision: Simplier Could be Better. Federal Reserve Bank of Chicago Economic Perspectives, January/February, 49-60.
Kao, C. ve Liu, S.T.. (2004). Prediction of Bank Performance with Financial Fo- recasts: A Case of Taiwan Commercial Banks. Journal of Banking & Finance, 28: 2353-2368.
Karacabey, A.A.. (2007). Bank Failure Prediction Using Modified Minimum De- viation Model. International Research Journal of Finance and Economics, 12: 147-159.
Kaya, Y.T.. (2001). Türk Bankacılık Sektöründe CAMELS Analizi”. Bankacılık Dü- zenleme ve Denetleme Kurumu MSPD Çalısma Raporu, No: 2001/6.
King, T.B., Nuxoll, D.A. ve Yeager, T.J.. (2006). Are the Causes of Bank Distress Changing? Can the Researchers Keep up?, The Federal Reserve Bank of St. Lou- is Review, 57-80, January/February.
Kılıç, S.B.. (2006). Türk Bankacılık Sistemi İçin Çok Kriterli Karar Alma Analizine Dayalı Bir Erken Uyarı Modelinin Tahmini. ODTÜ Gelisme Dergisi, 33: 117-154.
Olmeda, I. ve Fernandez, E.. (1997). Hybrid Classifiers for Financiaş Multicriteri- a Decision Making: The Case of Bankruptcy Prediction. Computational Econo- mics, 10: 317-335.
Pekkaya, S., Aydoğan, E. M. ve Tosuner, A.. (2002). Türk Bankacılık Sisteminde Finansal Risk Analizi. İsletme ve Finans Dergisi, 197: 47-67.
Sahajwala, R. ve Berg, P.. (2000). Supervisoty Risk Assesment and Early War- ning Systems. Basel Committee on Banking Supervision Working Papers, 4: 1- 53.
Sharma, S.. (1996). Applied Multivariate Techniques, John Wiley & Sons.
Sinkey, J. F.. (1975). A Multivariate Statistical Analysis of The Characteristics of Problem Banks. Journal of Finance, 30(1): 21–36.
Swicegood, P. ve Clark, J.A.. (2001). Off-Site Monitoring Systems for Predicting Bank Underperformance: A Comparison of Neural Networks, Discriminant Analysis and Professional Human Judgement. International Journal of Intelli- gent Systems in Accounting, Finance & Management, 10: 169-186.
Tam, K.Y. ve Kiang, M.Y.. (1992). Managerial Applications of Neural Net- works: The Case of Bank Failure Prediction. Management Science, 38(7): 926- 947.
Thawornwong S., ve Enke D.. (2003). Forecasting Stock Returns With Artificial Neural Networks, Neural Networks In Business Forecasting, (Ed.) Zhang, P.G., Idea Group Inc.
Vellido, A., Lisboa, P.J.G. ve Vaughan J.. (1999). Neural Networks In Business: A Survey of Applications (1992-1998). Expert Systems with Applications, 17(1): 51-70.
Whalen, G. ve Thomson, J.B.. (1988). Using Financial Data to Identify Changes in Bank Condition. Economic Review – Federal Reserve Bank of Cleveland, 24(2): 17-26.
Whalen, G. (2005). A Hazard Model of CAMELS Down-Grades of Low-Risk Community Banks, Economics Working Paper, 2005-1, http://occ.tre- as.gov/ftp/workpaper/wp2005-1.pdf
Wheelock, D.C. ve Wilson, P.W.. (2005). The Contribution of On-Site Examina- tion Ratings to an Emprical Model of Bank Failures. Review of Accounting & Fi- nance , 4(4): 110-133.
CAMELS Rating System and Forecasting the Financial Failure in the Turkish Commercial Banking Sector
Year 2008,
Volume: 2 Issue: 2, 25 - 48, 01.12.2008
Berger, A., Davies, A.M. ve Elannery, M.I.. (2000). Comparing Market and Su- pervisory Assessments of Bank Performance: Who Knows What When?. Jour- nal of Money, Credit, and Banking, 32(3): 642-667.
Berger, A.N. ve Davies, S.M.. (1998). The Information Content of Bank Exami- nations. Journal of Financial Services Research, 14(2): 117-144.
BIS. (2006a). Core Princeples for Effective Banking Supervision. Basel Commit- tee on Banking Supervision, October.
BIS. (2006b). International Convergence of Capital Measurement and Capital Stamdards. Basel Committee on Banking Supervision, June.
Federal Deposit Insurance Corporation, Banking and Economic Review, 6-11.
Hirtle, B.J. ve Lopez, J.A., (1999). Supervisory Information and the Frequency of Bank Examinations. Federal Reserve Bank of New York Economıc Policy Re- view, April , 1-19.
Jagtiani, J., Kolari, J. ve Lemieux Shin, H.. (2003). Early Warning Models for Bank Supervision: Simplier Could be Better. Federal Reserve Bank of Chicago Economic Perspectives, January/February, 49-60.
Kao, C. ve Liu, S.T.. (2004). Prediction of Bank Performance with Financial Fo- recasts: A Case of Taiwan Commercial Banks. Journal of Banking & Finance, 28: 2353-2368.
Karacabey, A.A.. (2007). Bank Failure Prediction Using Modified Minimum De- viation Model. International Research Journal of Finance and Economics, 12: 147-159.
Kaya, Y.T.. (2001). Türk Bankacılık Sektöründe CAMELS Analizi”. Bankacılık Dü- zenleme ve Denetleme Kurumu MSPD Çalısma Raporu, No: 2001/6.
King, T.B., Nuxoll, D.A. ve Yeager, T.J.. (2006). Are the Causes of Bank Distress Changing? Can the Researchers Keep up?, The Federal Reserve Bank of St. Lou- is Review, 57-80, January/February.
Kılıç, S.B.. (2006). Türk Bankacılık Sistemi İçin Çok Kriterli Karar Alma Analizine Dayalı Bir Erken Uyarı Modelinin Tahmini. ODTÜ Gelisme Dergisi, 33: 117-154.
Olmeda, I. ve Fernandez, E.. (1997). Hybrid Classifiers for Financiaş Multicriteri- a Decision Making: The Case of Bankruptcy Prediction. Computational Econo- mics, 10: 317-335.
Pekkaya, S., Aydoğan, E. M. ve Tosuner, A.. (2002). Türk Bankacılık Sisteminde Finansal Risk Analizi. İsletme ve Finans Dergisi, 197: 47-67.
Sahajwala, R. ve Berg, P.. (2000). Supervisoty Risk Assesment and Early War- ning Systems. Basel Committee on Banking Supervision Working Papers, 4: 1- 53.
Sharma, S.. (1996). Applied Multivariate Techniques, John Wiley & Sons.
Sinkey, J. F.. (1975). A Multivariate Statistical Analysis of The Characteristics of Problem Banks. Journal of Finance, 30(1): 21–36.
Swicegood, P. ve Clark, J.A.. (2001). Off-Site Monitoring Systems for Predicting Bank Underperformance: A Comparison of Neural Networks, Discriminant Analysis and Professional Human Judgement. International Journal of Intelli- gent Systems in Accounting, Finance & Management, 10: 169-186.
Tam, K.Y. ve Kiang, M.Y.. (1992). Managerial Applications of Neural Net- works: The Case of Bank Failure Prediction. Management Science, 38(7): 926- 947.
Thawornwong S., ve Enke D.. (2003). Forecasting Stock Returns With Artificial Neural Networks, Neural Networks In Business Forecasting, (Ed.) Zhang, P.G., Idea Group Inc.
Vellido, A., Lisboa, P.J.G. ve Vaughan J.. (1999). Neural Networks In Business: A Survey of Applications (1992-1998). Expert Systems with Applications, 17(1): 51-70.
Whalen, G. ve Thomson, J.B.. (1988). Using Financial Data to Identify Changes in Bank Condition. Economic Review – Federal Reserve Bank of Cleveland, 24(2): 17-26.
Whalen, G. (2005). A Hazard Model of CAMELS Down-Grades of Low-Risk Community Banks, Economics Working Paper, 2005-1, http://occ.tre- as.gov/ftp/workpaper/wp2005-1.pdf
Wheelock, D.C. ve Wilson, P.W.. (2005). The Contribution of On-Site Examina- tion Ratings to an Emprical Model of Bank Failures. Review of Accounting & Fi- nance , 4(4): 110-133.
Çinko, M., & Avcı, E. (2008). CAMELS Dereceleme Sistemi ve Türk Ticari Bankacılık Sektöründe Başarısızlık Tahmini. BDDK Bankacılık Ve Finansal Piyasalar Dergisi, 2(2), 25-48.