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A NEURAL NETWORK MODEL FOR CREDIT RISK EVALUATION

ADNAN KHASHMAN

Intelligent Systems Research Group (ISRG), Near East University, Lefkosa, Mersin 10, Turkey

https://doi.org/10.1142/S0129065709002014Cited by:51 (Source: Crossref)

Abstract

Credit scoring is one of the key analytical techniques in credit risk evaluation which has been an active research area in financial risk management. This paper presents a credit risk evaluation system that uses a neural network model based on the back propagation learning algorithm. We train and implement the neural network to decide whether to approve or reject a credit application, using seven learning schemes and real world credit applications from the Australian credit approval datasets. A comparison of the system performance under the different learning schemes is provided, furthermore, we compare the performance of two neural networks; with one and two hidden layers following the ideal learning scheme. Experimental results suggest that neural networks can be effectively used in automatic processing of credit applications.

Keywords:

References

K. K. Laiet al., Lecture Notes in Computer Science 4132, 682 (2006), DOI: 10.1007/11840930_71. Google Scholar
S. T. Li, W. Shiue and M. H. Huang, Expert Systems with Applications 30, 772 (2006), DOI: 10.1016/j.eswa.2005.07.041. Web of Science, Google Scholar
A. Laha, Advanced Engineering Informatics 21, 281 (2007), DOI: 10.1016/j.aei.2006.12.004. Web of Science, Google Scholar
A. Vellido, P. J. G. Lisboa and J. Vaughan, Expert Systems with Applications 17(1), 51 (1999), DOI: 10.1016/S0957-4174(99)00016-0. Web of Science, Google Scholar
B. Panakkat and H. Adeli, International Journal of Neural Systems 17(1), 13 (2007), DOI: 10.1142/S0129065707000890. Link, Web of Science, Google Scholar
M. A. Krameret al., International Journal of Neural Systems 17(2), 61 (2007), DOI: 10.1142/S0129065707000932. Link, Web of Science, Google Scholar
A. Terai and M. Nakagawa, International Journal of Neural Systems 17(4), 265 (2007), DOI: 10.1142/S0129065707001123. Link, Web of Science, Google Scholar
P. Huang and Y. Xu, International Journal of Neural Systems 17(6), 467 (2007), DOI: 10.1142/S0129065707001305. Link, Web of Science, Google Scholar
H. C. Lian and B. L. Lu, International Journal of Neural Systems 17(6), 479 (2007), DOI: 10.1142/S0129065707001317. Link, Web of Science, Google Scholar
N. C. Schneider and D. Graupe, International Journal of Neural Systems 18(4), 331 (2008), DOI: 10.1142/S0129065708001634. Link, Web of Science, Google Scholar
B. Cyganek, International Journal of Neural Systems 18(4), 339 (2008), DOI: 10.1142/S0129065708001646. Link, Web of Science, Google Scholar
C. Fyfeet al., International Journal of Neural Systems 18(6), 481 (2008), DOI: 10.1142/S0129065708001749. Link, Web of Science, Google Scholar
P. Gopych, International Journal of Neural Systems 18(6), 527 (2008), DOI: 10.1142/S0129065708001762. Link, Web of Science, Google Scholar
S. Haykin , Neural Networks: A Comprehensive Foundation , 2nd edn. ( Addison-Wesley/Longman , Singapore , 1999 ) . Google Scholar
K. A. Smith , Introduction to Neural Networks and Data Mining for Business Applications ( Eruditions Publishing , Australia , 1999 ) . Google Scholar
B. S. Ahn, S. S. Cho and C. Y. Kim, Expert Systems with Applications 18(2), 65 (2000), DOI: 10.1016/S0957-4174(99)00053-6. Web of Science, Google Scholar
T. S. Leeet al., Expert Systems with Applications 23(3), 245 (2002), DOI: 10.1016/S0957-4174(02)00044-1. Web of Science, Google Scholar
I. Becerra-Fernandez, S. H. Zanakis and S. Walczak, Computers and Industrial Engineering 43(4), 787 (2002), DOI: 10.1016/S0360-8352(02)00140-7. Web of Science, Google Scholar
R. Malhotra and D. K. Malhotra, Omega 31(2), 83 (2003), DOI: 10.1016/S0305-0483(03)00016-1. Web of Science, Google Scholar
B. Baesenset al., Management Science 49(3), 312 (2003), DOI: 10.1287/mnsc.49.3.312.12739. Web of Science, Google Scholar
Z. Huanget al., Decision Support Systems 37(4), 543 (2004), DOI: 10.1016/S0167-9236(03)00086-1. Web of Science, Google Scholar
T. S. Lee and I. F. Chen, Expert Systems with Applications 28(4), 743 (2005), DOI: 10.1016/j.eswa.2004.12.031. Web of Science, Google Scholar
D. West, S. Dellana and J. Qian, Computers and Operations Research 32(10), 2543 (2005), DOI: 10.1016/j.cor.2004.03.017. Web of Science, Google Scholar
N. C. Hsieh, Expert Systems with Applications 28, 655 (2005), DOI: 10.1016/j.eswa.2004.12.022. Web of Science, Google Scholar
W. Huang, Y. Nakamori and S. Y. Wang, Computers and Operations Research 32(10), 2513 (2005), DOI: 10.1016/j.cor.2004.03.016. Web of Science, Google Scholar
J. H. Min and Y. C. Lee, Expert Systems with Applications 28(4), 603 (2005), DOI: 10.1016/j.eswa.2004.12.008. Web of Science, Google Scholar
B. Baesenset al., Journal of the Operational Research Society 56(9), 1089 (2005), DOI: 10.1057/palgrave.jors.2601990. Web of Science, Google Scholar
J. H. Min and Y. C. Lee, Expert Systems with Applications 35, 1762 (2008), DOI: 10.1016/j.eswa.2007.08.070. Web of Science, Google Scholar
M. K. Lim and S. Y. Sohn, Expert Systems with Applications 32, 427 (2007), DOI: 10.1016/j.eswa.2005.12.006. Web of Science, Google Scholar
D. Martenset al., European Journal of Operational Research 183, 1466 (2007), DOI: 10.1016/j.ejor.2006.04.051. Web of Science, Google Scholar
C. L. Huang, M. C. Chen and C. J. Wang, Expert Systems with Applications 33, 847 (2007), DOI: 10.1016/j.eswa.2006.07.007. Web of Science, Google Scholar
H. Abdou, J. Pointon and A. El-Masry, Expert Systems with Applications 35, 1275 (2008), DOI: 10.1016/j.eswa.2007.08.030. Web of Science, Google Scholar
E. Angelini, G. di Tollo and A. Roli, The Quarterly Review of Economics and Finance 48, 733 (2008), DOI: 10.1016/j.qref.2007.04.001. Google Scholar
L. Yu, S. Y. Wang and K. K. Lai, Expert Systems with Applications 34, 1434 (2008), DOI: 10.1016/j.eswa.2007.01.009. Web of Science, Google Scholar
C. F. Tsai and J. W. Wu, Expert Systems with Applications 34, 2639 (2008), DOI: 10.1016/j.eswa.2007.05.019. Web of Science, Google Scholar
R. Setiono, B. Baesens and C. Mues, IEEE Transactions on Neural Networks 19(2), 299 (2008), DOI: 10.1109/TNN.2007.908641. Medline, Web of Science, Google Scholar
M. Šušteršic, D. Mramor and J. Zupan, Expert Systems with Applications 36(3), 4736 (2009), DOI: 10.1016/j.eswa.2008.06.016. Web of Science, Google Scholar
A. Asuncion and D. J. Newman, UCI Machine Learning Repository [http://www.ics.uci.edu/~mlearn/MLRepository.html]. Irvine, CA: University of California, School of Information and Computer Science (2007) . Google Scholar
E. Boroset al., IEEE Transactions on Knowledge and Data Engineering 12(2), 292 (2000). Web of Science, Google Scholar
B. Baesenset al., Journal of the Operational Research Society 54, 627 (2003), DOI: 10.1057/palgrave.jors.2601545. Web of Science, Google Scholar
Y. S. Kim and S. Y. Sohn, Expert Systems with Applications 26, 567 (2004), DOI: 10.1016/j.eswa.2003.10.013. Web of Science, Google Scholar
A. F. Atiya, IEEE Transactions on Neural Networks 12(4), 929 (2001), DOI: 10.1109/72.935101. Medline, Web of Science, Google Scholar
S. Sakprasat and M. C. Sinclair, Classification rule mining for automatic credit approval using genetic programming, Proceedings of the IEEE Congress on Evolutionary Computation (2007) pp. 548–555. Google Scholar
A. Khashman, International Journal of Neural Systems 18(5), 453 (2008), DOI: 10.1142/S0129065708001713. Link, Web of Science, Google Scholar
A. Khashman and B. Sekeroglu, International Journal of Neural Systems 18(5), 405 (2008), DOI: 10.1142/S0129065708001671. Link, Web of Science, Google Scholar
B. Hamers, J. A. K. Suykens and B. De Moor, Journal of Machine Learning Research 1, 1 (2003). Web of Science, Google Scholar
H. Adeli and M. Wu, Journal of Construction Engineering and Management 124(1), 18 (1998), DOI: 10.1061/(ASCE)0733-9364(1998)124:1(18). Web of Science, Google Scholar