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Improving bankruptcy prediction with Hidden Layer Learning Vector Quantization
15 references·16 citing·28 second hop
Improving bankruptcy prediction with Hidden Layer Learning Vector Quantization (2006)Improving bankruptcy prediction with Hidd…Predicting corporate failure: empirical evidence for the UK (2004)Predicting corporate failure:…The Limitations of Bankruptcy Prediction Models: Some Cautions for the Researcher (2001)The Limitations of Bankruptcy…Selecting bankruptcy predictors using a support vector machine approach (2000)Selecting bankruptcy predicto…Probabilistic Neural Networks in Bankruptcy Prediction (1999)Probabilistic Neural Networks…Comparative analysis of failure prediction methods: the Finnish case (1999)Comparative analysis of failu…Using neural networks to predict corporate failure (1998)Using neural networks to pred…Corporate distress diagnosis: Comparisons using linear discriminant analysis and neural networks (the Italian experience) (1994)Corporate distress diagnosis:…Bankruptcy prediction using neural networks (1994)Bankruptcy prediction using n…Recognizing Financial Distress Patterns Using a Neural Network Tool (1993)Recognizing Financial Distres…Credit Granting: A Comparative Analysis of Classification Procedures (1987)Credit Granting: A Comparativ…Methodological Issues Related to the Estimation of Financial Distress Prediction Models (1984)Methodological Issues Related…Financial Ratios and the Probabilistic Prediction of Bankruptcy (1980)Financial Ratios and the Prob…Early warning of bank failure (1977)Early warning of bank failureFINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)FINANCIAL RATIOS, DISCRIMINAN…Financial Ratios As Predictors of Failure (1966)Financial Ratios As Predictor…The evaluation of bankruptcy prediction models based on socio-economic costs (2023)The evaluation of bankruptcy …Artificial intelligence in predicting the bankruptcy of non-financial corporations (2022)Artificial intelligence in pr…Dynamic self-organizing feature map-based models applied to bankruptcy prediction (2021)Dynamic self-organizing featu…A Comprehensive Review of Corporate Bankruptcy Prediction in Hungary (2020)A Comprehensive Review of Cor…Forecasting bankruptcy using biclustering and neural network-based ensembles (2019)Forecasting bankruptcy using …Multi-criteria ranking of corporate distress prediction models: empirical evaluation and methodological contributions (2018)Multi-criteria ranking of cor…How Banks Can Better Serve Their Customers Through Artificial Techniques (2017)How Banks Can Better Serve Th…Predicting corporate financial distress using data mining techniques (2016)Predicting corporate financia…Methodological approach of construction business failure prediction studies: a review (2016)Methodological approach of co…Improve credit scoring using transfer of learned knowledge from self-organizing map (2016)Improve credit scoring using …Default Patterns in Seven EU Countries: A Random Forest Approach (2016)Default Patterns in Seven EU …Predicting performance in ASEAN banks: an integrated fuzzy MCDM–neural network approach (2015)Predicting performance in ASE…Enhanced default risk models with SVM+ (2012)Enhanced default risk models …Clustering and visualization of bankruptcy trajectory using self-organizing map (2012)Clustering and visualization …An enforced support vector machine model for construction contractor default prediction (2011)An enforced support vector ma…A genetic algorithm-based approach to cost-sensitive bankruptcy prediction (2011)A genetic algorithm-based app…ZETATM analysis A new model to identify bankruptcy risk of corporations (1977)An empirical comparison of bankruptcy models (1998)Forecasting stock indices: a comparison of classification and level estimation models (2000)An empirical comparison of conventional techniques, neural networks and the three stage hybrid Adaptive Neuro Fuzzy Inference System (ANFIS) model for credit scoring analysis: The case of Turkish credit card data (2012)Limited-dependent and qualitative variables in econometrics (1983)Forecasting Bankruptcy More Accurately: A Simple Hazard Model (2001)Do Managers Withhold Bad News? 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(1997)Comparative study of stock trend prediction using time delay, recurrent and probabilistic neural networks (1998)A comparative survey of artificial intelligence applications in finance: artificial neural networks, expert system and hybrid intelligent systems (2010)A data driven ensemble classifier for credit scoring analysis (2009)Bankruptcy prediction using terminal failure processes (2014)Systematic review of bankruptcy prediction models: Towards a framework for tool selection (2017)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
  • 1980Financial Ratios and the Probabilistic Prediction of Bankruptcy6,005 cited
  • 1966Financial Ratios As Predictors of Failure4,753 cited
  • 1984Methodological Issues Related to the Estimation of Financial Distress Prediction Models2,889 cited
  • 1994Corporate distress diagnosis: Comparisons using linear discriminant analysis and neural networks (the Italian experience)1,059 cited
  • 1977Early warning of bank failure960 cited
  • 1994Bankruptcy prediction using neural networks722 cited
  • 1993Recognizing Financial Distress Patterns Using a Neural Network Tool470 cited
  • 2004Predicting corporate failure: empirical evidence for the UK429 cited
  • 1999Probabilistic Neural Networks in Bankruptcy Prediction277 cited
  • 2001The Limitations of Bankruptcy Prediction Models: Some Cautions for the Researcher223 cited
  • 1999Comparative analysis of failure prediction methods: the Finnish case175 cited
  • 1987Credit Granting: A Comparative Analysis of Classification Procedures163 cited
  • 1998Using neural networks to predict corporate failure113 cited
  • 2000Selecting bankruptcy predictors using a support vector machine approach

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108 cited

Cited by

  • 2012Clustering and visualization of bankruptcy trajectory using self-organizing map96 cited
  • 2015Predicting performance in ASEAN banks: an integrated fuzzy MCDM–neural network approach74 cited
  • 2011An enforced support vector machine model for construction contractor default prediction73 cited
  • 2011A genetic algorithm-based approach to cost-sensitive bankruptcy prediction67 cited
  • 2012Enhanced default risk models with SVM+62 cited
  • 2023The evaluation of bankruptcy prediction models based on socio-economic costs44 cited
  • 2019Forecasting bankruptcy using biclustering and neural network-based ensembles42 cited
  • 2016Predicting corporate financial distress using data mining techniques40 cited
  • 2022Artificial intelligence in predicting the bankruptcy of non-financial corporations40 cited
  • 2017How Banks Can Better Serve Their Customers Through Artificial Techniques39 cited
  • 2020A Comprehensive Review of Corporate Bankruptcy Prediction in Hungary39 cited
  • 2016Improve credit scoring using transfer of learned knowledge from self-organizing map38 cited
  • 2016Default Patterns in Seven EU Countries: A Random Forest Approach35 cited
  • 2018Multi-criteria ranking of corporate distress prediction models: empirical evaluation and methodological contributions33 cited
  • 2021Dynamic self-organizing feature map-based models applied to bankruptcy prediction31 cited
  • 2016Methodological approach of construction business failure prediction studies: a review31 cited