Abstract
This paper examines four most popular alternative methods that have been applied in financial failure prediction: linear discriminant analysis, logit analysis, neural networks and support vector machine. The main purpose is to make comparisons of the prediction abilities among different methods. It was implemented by using the Chinese firms data one, two and three years prior to failure in the empirical analysis. The results indicate that the classification accuracy of support vector machine is the highest.
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Yang, H. (2009). Comparative Analysis of Corporate Failure Prediction Methods: Evidence from Chinese Firms. In: Yu, W., He, H., Zhang, N. (eds) Advances in Neural Networks – ISNN 2009. ISNN 2009. Lecture Notes in Computer Science, vol 5553. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01513-7_87
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DOI: https://doi.org/10.1007/978-3-642-01513-7_87
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-01512-0
Online ISBN: 978-3-642-01513-7
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