出版社：La Generalitat de Catalunya & Universitat Rovira i Virgili
摘要：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.
关键词：hybrid neural networks, corporate failures.;redes neurais híbridas, falência de empresas.
