Article1998

Using neural networks to predict corporate failure

113 citations0/0 files storedIntelligent systems in accounting, finance and management/Intelligent systems in accounting, finance & management

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

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

Abstract

Predicting corporate failure or bankruptcy is one of the most important problems facing business and government. The recent Savings and Loan crisis is one example, where bankruptcies cost the United States billions of dollars and became a national political issue. This paper provides a ‘meta analysis’ of the use of neural networks to predict corporate failure. Fifteen papers are reviewed and compared in order to investigate ‘what works and what doesn’t work’. The studies are compared for their formulations including aspects such as the impact of using different percentages of bankrupt firms, the software they used, the input variables, the nature of the hidden layer used, the number of nodes in the hidden layer, the output variables, training and testing and statistical analysis of results. Then the findings are compared across a number of dimensions, including, similarity of comparative solutions, number of correct classifications, impact of hidden layers, and the impact of the percentage of bankrupt firms. © 1998 John Wiley & Sons, Ltd.

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 113 citations exist upstream.

References

1992Managerial Applications of Neural Networks: The Case of Bank Failure Predictions 1990A neural network model for bankruptcy prediction 1994Bankruptcy prediction using neural networks 1992Neural Networks: A New Tool for Predicting Thrift Failures*1993Recognizing Financial Distress Patterns Using a Neural Network Tool 1993Forecasting with neural networks

Cited by

2007NEURAL NETWORKS IN FINANCE AND ECONOMICS FORECASTING 2012BEYOND THE NUMBERS: MINING THE ANNUAL REPORTS FOR HIDDEN CUES INDICATIVE OF FINANCIAL STATEMENT FRAUD 2006Improving bankruptcy prediction with Hidden Layer Learning Vector Quantization 2020AI in Finance: A Review 2020Predicting Financial Distress of Slovak Enterprises: Comparison of Selected Traditional and Learning Algorithms Methods 2007Developing a business failure prediction model via RST, GRA and CBR 2004Artificial neural networks in analytical review procedures 2013

Explore the map →

Papers that cite the same references — the relational fallback while embeddings are still backfilling.

Imported from OpenAlex (CC0) — nothing here is generated.