A comparison of corporate distress prediction models in Brazil: hybrid neural networks, logit models and discriminant analysis

Authors

  • Juliana Yim
  • Heather Mitchell

Keywords:

hybrid neural networks, corporate failures.

Abstract

This paper looks at the ability of a relatively new technique, hybrid ANN’s, to predict corporate distress in Brazil. These models are compared with traditional statistical techniques and conventional ANN models. The results suggest that hybrid neural networks outperform all other models in predicting firms in financial distress one year prior to the event. This suggests that for researchers, policymakers and others interested in early warning systems, hybrid networks may be a useful tool for predicting firm failure.

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Published

2009-06-02

How to Cite

YIM, J.; MITCHELL, H. A comparison of corporate distress prediction models in Brazil: hybrid neural networks, logit models and discriminant analysis. Nova Economia, [S. l.], v. 15, n. 1, 2009. Disponível em: https://revistas.face.ufmg.br/index.php/novaeconomia/article/view/445. Acesso em: 30 jun. 2024.

Issue

Vol. 15 No. 1 (2005)

Section

Regular Issue

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