How to cite this paper
Najafi, H & Ahmadkhani, A. (2012). An empirical study on the relationship between customers' credit rating and their financial transcripts for loan assignment.Management Science Letters , 2(1), 301-306.
Refrences
Angelini, E., di Tollo, G., & Roli, A. (2008). A neural network approach for credit risk evaluation. The Quarterly Review of Economics and Finance, 48(4), 733-755.
Bannierand, C.E., & Hirsch, C.W. (2010).The economic function of credit rating agencies – What does the watchlist tell us?. Journal of Banking & Finance, 34(12), 3037-3049.
Becker, B., & Milbourn, T. (2011). How did increased competition affect credit ratings?. Journal of Financial Economics, 101(3), 493-514.
Burak Emel, A., Oral, M., Reisman, A., & Yolalan, R. (2003). A credit scoring approach for the commercial banking sector. Socio-Economic Planning Sciences. 37(2), 103-123.
Curry, T.J., Fissel, G.S., & Ramirez, C.D. (2008). The impact of bank supervision on loan growth. The North American Journal of Economics and Finance, 19(2), 113-134.
Carey, M., & Hrycay, M. (2001). Parameterizing credit risk models with rating data. Journal of Banking & Finance, 25(1), 197-270.
Grunert, J., Norden, L., & Weber, M. (2005). The role of non-financial factors in internal credit ratings. Journal of Banking & Finance, 29(2), 509-531.
Jacobson, T., Lindé, J., & Roszbach, K. (2006). Internal ratings systems, implied credit risk and the consistency of banks’ risk classification policies. Journal of Banking & Finance, 30(7), 1899-1926.
Treacy, W. F., & Carey, M. (2000). Credit risk rating systems at large US banks. Journal of Banking & Finance, 24(1-2), 167-201.
Tsai, C.F., & Chen, M.L. (2010). Credit rating by hybrid machine learning techniques. Applied Soft Computing, 10(2), 374-380.
Stefanescu, C., Tunaru, R., Turnbull, S. (2009).The credit rating process and estimation of transition probabilities: A Bayesian approach. Journal of Empirical Finance, 16(2), 216-234.
Thomas, H., & Wang, Z. (2004). The integration of bank syndicated loan and junk bond markets. Journal of Banking & Finance, 28(2), 299-329.
Bannierand, C.E., & Hirsch, C.W. (2010).The economic function of credit rating agencies – What does the watchlist tell us?. Journal of Banking & Finance, 34(12), 3037-3049.
Becker, B., & Milbourn, T. (2011). How did increased competition affect credit ratings?. Journal of Financial Economics, 101(3), 493-514.
Burak Emel, A., Oral, M., Reisman, A., & Yolalan, R. (2003). A credit scoring approach for the commercial banking sector. Socio-Economic Planning Sciences. 37(2), 103-123.
Curry, T.J., Fissel, G.S., & Ramirez, C.D. (2008). The impact of bank supervision on loan growth. The North American Journal of Economics and Finance, 19(2), 113-134.
Carey, M., & Hrycay, M. (2001). Parameterizing credit risk models with rating data. Journal of Banking & Finance, 25(1), 197-270.
Grunert, J., Norden, L., & Weber, M. (2005). The role of non-financial factors in internal credit ratings. Journal of Banking & Finance, 29(2), 509-531.
Jacobson, T., Lindé, J., & Roszbach, K. (2006). Internal ratings systems, implied credit risk and the consistency of banks’ risk classification policies. Journal of Banking & Finance, 30(7), 1899-1926.
Treacy, W. F., & Carey, M. (2000). Credit risk rating systems at large US banks. Journal of Banking & Finance, 24(1-2), 167-201.
Tsai, C.F., & Chen, M.L. (2010). Credit rating by hybrid machine learning techniques. Applied Soft Computing, 10(2), 374-380.
Stefanescu, C., Tunaru, R., Turnbull, S. (2009).The credit rating process and estimation of transition probabilities: A Bayesian approach. Journal of Empirical Finance, 16(2), 216-234.
Thomas, H., & Wang, Z. (2004). The integration of bank syndicated loan and junk bond markets. Journal of Banking & Finance, 28(2), 299-329.