Abstract
To establish a scientific and effective commercial loan risk early-warning model is an important measure to effectively prevent, defuse the risk of commercial banks. This paper analyzes the main factors on commercial loans risk and establishes early warning indicator system, also uses BP neural network to build a bank commercial loan risk early-warning model. The empirical results show that: the neural network model can achieve higher accuracy.
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References
Altman EI (1968) Financial ratios, discriminant analysis and prediction of corporate bankruptcy. J Finance 9:589–609
Chen K, Hussein A, Wan HB (2002) On a class of new and practical performance indexes for approximation of fold bifurcations of nonlinear power flow equations. J Comput Appl Math 140(3):119–141
Davis EP, Karim D (2008) Comparing early warning systems for banking crises. J Financ Stab 4(2):89–120
Hwang FK (2002) A cost and operations based product heterogeneity index. Int J Prod Econ 179(9):45–55
Lin YK (2002) Two-commodity reliability evaluation for a stochastic-flow network with node failure. Comput Oper Res 29(11):1927–1939
McCulloch WS, Pitts W (1943) A logical calculus of the ideas immanent in nervous activity. Bull Math Biophys 5:115–133
Ozkan-Gunay EN, Ozkam M (2007) Prediction of bank failures in emerging financial markets: an ANN approach. J Risk Finance 8(5):465–480
Ozkan-Gunay EN, Ozkan M (2007) Prediction of bank failures in emerging financial markets: an ANN approach. J Risk Finance 8(5):465–480
Tam KY, Kiang MY (1992) Managerial applications of neural network: the case of bank failure prediction. Manege Sci 38:927–938
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Zhou, H. (2013). BP Neural Network-Based Commercial Loan Risk Early Warning Research. In: Qi, E., Shen, J., Dou, R. (eds) The 19th International Conference on Industrial Engineering and Engineering Management. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38433-2_132
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DOI: https://doi.org/10.1007/978-3-642-38433-2_132
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Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-38432-5
Online ISBN: 978-3-642-38433-2
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