A Comparison of Artificial Neural Network Model and Logistics Regression in Prediction of Companiess Bankruptcy (A Case Study of Tehran Stock Exchange)

Ali Mansouri · Arezoo Nazari · Morteza Ramazani

11 citations0/0 files storedInternational Journal of Advanced Computer Research

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Financial Distress and Bankruptcy Prediction Forecasting Techniques and Applications Stock Market Forecasting Methods

Abstract

And finally ANN prediction models are known as one of the best techniques and models which predict the companies" future condition and estimate bankruptcy"s contingency applying a combination of some financial ratios.However, in order to prove the strong capability of ANN models in the prediction of companies" future situation, this paper aims to focus on the prediction of the company's future condition with comparative approach, comparing ANN and LR, in order to judge about their capability in prediction, Research

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1980Financial Ratios and the Probabilistic Prediction of Bankruptcy 1966Financial Ratios As Predictors of Failure 1992Managerial Applications of Neural Networks: The Case of Bank Failure Predictions 1990A neural network model for bankruptcy prediction 1999Artificial neural networks in bankruptcy prediction: General framework and cross-validation analysis 1992Neural Networks: A New Tool for Predicting Thrift Failures*2006Predicting corporate bankruptcy: where we stand?1999The early stages of financial distress

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