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A Hybrid SOM-Altman Model for Bankruptcy Prediction
5 references·4 citing·27 second hop
A Hybrid SOM-Altman Model for Bankruptcy Prediction (2006)A Hybrid SOM-Altman Model for Bankruptcy …Predicting financial distress of companies: revisiting the Z-Score and ZETA® models (2013)Predicting financial distress…Bankruptcy prediction for credit risk using neural networks: A survey and new results (2001)Bankruptcy prediction for cre…Credit Risk Assessment Using Statistical and Machine Learning: Basic Methodology and Risk Modeling Applications (2000)Credit Risk Assessment Using …Predicting bankruptcies with the self-organizing map (1998)Predicting bankruptcies with …FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)FINANCIAL RATIOS, DISCRIMINAN…Comparison of Prediction Models Applied in Economic Recession and Expansion (2020)Comparison of Prediction Mode…Constructing ZSCORE-based financial crisis warning models using fruit fly optimization algorithm and general regression neural network (2016)Constructing ZSCORE-based fin…Credit risk evaluation modeling using evolutionary linear SVM classifiers and sliding window approach (2012)Credit risk evaluation modeli…Comparing Traditional Statistics, Decision Tree Classification And Support Vector Machine Techniques For Financial Bankruptcy Prediction (2012)Comparing Traditional Statist…The Pricing of Options and Corporate Liabilities (1973)Theory of Rational Option Pricing (1973)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)Machine learning techniques for credit risk evaluation: a systematic literature review (2020)Financial Inclusion in Emerging Economies: The Application of Machine Learning and Artificial Intelligence in Credit Risk Assessment (2021)Machine learning-driven credit risk: a systemic review (2022)Managerial Applications of Neural Networks: The Case of Bank Failure Predictions (1992)Bankruptcy prediction using neural networks (1994)The cluster-indexing method for case-based reasoning using self-organizing maps and learning vector quantization for bond rating cases (2001)Applications of Artificial Neural Networks in Financial Economics: A Survey (2010)Clustering and visualization of bankruptcy trajectory using self-organizing map (2012)Financial Ratios and the Probabilistic Prediction of Bankruptcy (1980)Methodological Issues Related to the Estimation of Financial Distress Prediction Models (1984)Analysis of clustering algorithms for credit risk evaluation using multiple correspondence analysis (2022)Predicting earnings management through machine learning ensemble classifiers (2022)Financial Ratios As Predictors of Failure (1966)Hybrid genetic algorithms and support vector machines for bankruptcy prediction (2005)ZETATM analysis A new model to identify bankruptcy risk of corporations (1977)Does industry-wide distress affect defaulted firms? Evidence from creditor recoveries (2007)Financial distress and bankruptcy prediction among listed companies using accounting, market and macroeconomic variables (2013)Corporate social responsibility and Eurozone corporate bonds: The moderating role of country sustainability (2015)ON THE PRICING OF CORPORATE DEBT: THE RISK STRUCTURE OF INTEREST RATES* (1974)Using neural network ensembles for bankruptcy prediction and credit scoring (2007)A comparative survey of artificial intelligence applications in finance: artificial neural networks, expert system and hybrid intelligent systems (2010)CREDIT SCORING, STATISTICAL TECHNIQUES AND EVALUATION CRITERIA: A REVIEW OF THE LITERATURE (2011)Managerial incentives and risk-taking☆ (2005)How does financial reporting quality relate to investment efficiency? (2009)
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References

  • 1968FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY14,869 cited
  • 2013Predicting financial distress of companies: revisiting the Z-Score and ZETA® models797 cited
  • 2001Bankruptcy prediction for credit risk using neural networks: A survey and new results696 cited
  • 2000Credit Risk Assessment Using Statistical and Machine Learning: Basic Methodology and Risk Modeling Applications257 cited
  • 1998Predicting bankruptcies with the self-organizing map136 cited

Cited by

  • 2012Credit risk evaluation modeling using evolutionary linear SVM classifiers and sliding window approach31 cited
  • 2012Comparing Traditional Statistics, Decision Tree Classification And Support Vector Machine Techniques For Financial Bankruptcy Prediction19 cited
  • 2020Comparison of Prediction Models Applied in Economic Recession and Expansion17 cited
  • 2016Constructing ZSCORE-based financial crisis warning models using fruit fly optimization algorithm and general regression neural network17 cited

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