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Effectiveness of neural network types for prediction of business failure · Study

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ArticleEffectiveness of neural network types for prediction of business failure

J. Efrim Boritz1995

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Articlegreen1995

Effectiveness of neural network types for prediction of business failure

J. Efrim Boritz · Duane B. Kennedy

202 citations·0/0 files stored·Expert Systems with Applications

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Financial Distress and Bankruptcy Prediction Neural Networks and Applications Forecasting Techniques and Applications

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References

1968FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY 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 1983Corporate financial distress : a complete guide to predicting, avoiding, and dealing with bankruptcy 1992Neural Networks: A New Tool for Predicting Thrift Failures*1968Market Prices, Financial Ratios, and the Prediction of Failure 1987CURRENT TECHNIQUES IN BANKRUPTCY PREDICTION

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2020Machine Learning for Financial Risk Management: A Survey 2014Bankruptcy visualization and prediction using neural networks: A study of U.S. commercial banks 2008Bankruptcy prediction modeling with hybrid case-based reasoning and genetic algorithms approach 2012Financial distress prediction using support vector machines: Ensemble vs. individual 2010Predicting bankruptcy using neural networks and other classification methods: The influence of variable selection techniques on model accuracy

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1995Predicting Corporate Failure Using a Neural Network Approacharticle · 8 shared references 2015Predicting corporate failure: a systematic literature review of methodological issuesreview · 7 shared references 2008An empirical analysis of financially distressed Australian companies: the application of survival analysisthesis · 7 shared references 2002A genetic algorithm application in bankruptcy prediction modelingarticle · 6 shared references 2009A hybrid approach of DEA, rough set and support vector machines for business failure predictionarticle · 6 shared references 2010The use of hybrid manifold learning and support vector machines in the prediction of business failurearticle · 6 shared references

Details

Year1995

Typearticle

Published1995-01-01

VenueExpert Systems with Applications

ISSN-L0957-4174

Languageen

Citations202

Files0 public / 0

ShelfFinancial Distress and Bankruptcy Prediction

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doi10.1016/0957-4174(95)00020-8

openalex_workW2043089652

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2013Bankruptcy prediction using Extreme Learning Machine and financial expertise

2012Small Enterprise Default Prediction Modeling through Artificial Neural Networks: An Empirical Analysis of Italian Small Enterprises

1997A case-based reasoning approach to bankruptcy prediction modeling