A Comparison of Corporate Failure Models in Australia: Hybrid Neural Networks, Logit Models and Discriminant Analysis
نویسندگان
چکیده
A comparison of corporate failure models in Australia: Hybrid neural networks, logit models and discriminant analysis. A comparison of corporate failure models in Australia: Hybrid neural networks, logit models and discriminant analysis. Abstract This study investigated whether two artificial neural networks (ANNs), multilayer perceptron (MLP) and hybrid networks using statistical and ANN approaches, can outperform traditional statistical models for predicting corporate failures in Australia one year and two years prior to the financial distress. The results suggest that hybrid neural networks outperform all other models one and two years before failure. Therefore, hybrid neural network model is a very promising tool for failure prediction. This supports the conclusion that for shareholders, policymakers and others interested in early warning systems, hybrid networks would be useful.
منابع مشابه
A comparison of Australian financial service failure models: Hybrid neural networks, logit models and discriminant analysis
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