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| Tekijä: | Tam, K. Y. |
| Otsikko: | Neural network model and the prediction of bank bankruptcy |
| Lehti: | Omega
1991 : VOL. 19:5, p. 429-445 |
| Asiasana: | BANKS BANKRUPTCY PREDICTION THEORY NETWORK ANALYSIS CREDIT LOANS |
| Kieli: | eng |
| Tiivistelmä: | In recent years, the number of failed banks has reached a high unparalleled since the great Depression. Developing predictive models for bank failures is therefore desirable. A neural network model is presented, which offers a competitive alternative to existing bankruptcy prediction models. Empirical results show that neural networks offer better predictive accuracy than DA, factor-logistic, kNN, and ID3. Neural networks can be extended to other financial applications, particularly those involving classification such as credit scoring and loan evaluation. |
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