Title :
Neural networks and the mathematics of chaos-an investigation of these methodologies as accurate predictors of corporate bankruptcy
Author :
Cadden, David T.
Author_Institution :
Dept. of Manage., Quinnipiac Coll., Hamden, CT, USA
Abstract :
Research is given which investigates the use of neural networks as a classification tool to predict corporate bankruptcy. It also examines if a branch of chaos theory could be used as a forecasting tool. It compares neural networks with an alternative corporate bankruptcy prediction model Altman´s Z-score model (1977) on a small data sample and illustrates that neural networks can yield superior results
Keywords :
chaos; economics; financial data processing; forecasting theory; neural nets; Z-score model; alternative corporate bankruptcy prediction model; chaos theory; classification tool; corporate bankruptcy; forecasting tool; neural networks; Chaos; Costs; Economic forecasting; Educational institutions; Environmental economics; Financial management; Investments; Mathematics; Neural networks; Predictive models;
Conference_Titel :
Artificial Intelligence Applications on Wall Street, 1991. Proceedings., First International Conference on
Conference_Location :
New York, NY
Print_ISBN :
0-8186-2240-7
DOI :
10.1109/AIAWS.1991.236574
