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Selecting bankruptcy predictors using a support vector machine approach
6 references·16 citing·32 second hop
Selecting bankruptcy predictors using a support vector machine approach (2000)Selecting bankruptcy predictors using a s…Effectiveness of neural network types for prediction of business failure (1995)Effectiveness of neural netwo…Corporate distress diagnosis: Comparisons using linear discriminant analysis and neural networks (the Italian experience) (1994)Corporate distress diagnosis:…Corporate Financial Distress and Bankruptcy: A Complete Guide to Predicting & Avoiding Distress and Profiting from Bankruptcy (1993)Corporate Financial Distress …Financial Ratios and the Probabilistic Prediction of Bankruptcy (1980)Financial Ratios and the Prob…FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)FINANCIAL RATIOS, DISCRIMINAN…Financial Ratios As Predictors of Failure (1966)Financial Ratios As Predictor…A Comprehensive Review of Corporate Bankruptcy Prediction in Hungary (2020)A Comprehensive Review of Cor…Detecting anomalies in financial statements using machine learning algorithm (2019)Detecting anomalies in financ…Failure pattern-based ensembles applied to bankruptcy forecasting (2018)Failure pattern-based ensembl…Data depth based support vector machines for predicting corporate bankruptcy (2017)Data depth based support vect…Credit rating with a monotonicity-constrained support vector machine model (2014)Credit rating with a monotoni…Forecasting financial failure using a Kohonen map: A comparative study to improve model stability over time (2012)Forecasting financial failure…An enforced support vector machine model for construction contractor default prediction (2011)An enforced support vector ma…Usefulness of support vector machine to develop an early warning system for financial crisis (2010)Usefulness of support vector …Comparison of Support Vector Machine and Back Propagation Neural Network in Evaluating the Enterprise Financial Distress (2010)Comparison of Support Vector …Handbook on Information Technology in Finance (2008)Handbook on Information Techn…Financial decision support using neural networks and support vector machines (2008)Financial decision support us…Measuring retail company performance using credit scoring techniques (2007)Measuring retail company perf…Feature selection to diagnose a business crisis by using a real GA-based support vector machine: An empirical study (2007)Feature selection to diagnose…Improving bankruptcy prediction with Hidden Layer Learning Vector Quantization (2006)Improving bankruptcy predicti…Deciding the financial health of dot-coms using rough sets (2006)Deciding the financial health…Predicting the survival or failure of click-and-mortar corporations: A knowledge discovery approach (2005)Predicting the survival or fa…Methodological Issues Related to the Estimation of Financial Distress Prediction Models (1984)A data analytic approach to forecasting daily stock returns in an emerging market (2016)A Race for Long Horizon Bankruptcy Prediction (2020)The effect of green energy, global environmental indexes, and stock markets in predicting oil price crashes: Evidence from explainable machine learning (2021)Credit rating analysis with support vector machines and neural networks: a market comparative study (2003)Forecasting stock market movement direction with support vector machine (2004)Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters (2005)A novel corporate credit rating system based on Student’s-t hidden Markov models (2016)A Multi-Objective Credit Evaluation Model Using MOORA Method and Goal Programming (2019)Machine learning models and cost-sensitive decision trees for bond rating prediction (2019)A Coefficient of Agreement for Nominal Scales (1960)Operations Research (OR) in Service Industries: A Comprehensive Review (2013)Using an ensemble classifier based on sequential floating forward selection for financial distress prediction problem (2016)The application of PROMETHEE multi-criteria decision aid in financial decision making: Case of distress prediction models evaluation (2020)Conditional logit analysis of qualitative choice behavior (1972)The Effect of Audit Quality on Earnings Management* (1998)Forecasting Bankruptcy More Accurately: A Simple Hazard Model (2001)ZETATM analysis A new model to identify bankruptcy risk of corporations (1977)Neural network credit scoring models (2000)The effects of government ownership on bank lending (2003)Bankruptcy prediction in banks and firms via statistical and intelligent techniques – A review (2006)The prediction of bankruptcy of small- and medium-sized industrial firms (2004)Can corporate governance save distressed firms from bankruptcy? 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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
  • 1994Corporate distress diagnosis: Comparisons using linear discriminant analysis and neural networks (the Italian experience)1,059 cited
  • 1993Corporate Financial Distress and Bankruptcy: A Complete Guide to Predicting & Avoiding Distress and Profiting from Bankruptcy251 cited
  • 1995Effectiveness of neural network types for prediction of business failure202 cited

Cited by

  • 2006Improving bankruptcy prediction with Hidden Layer Learning Vector Quantization97 cited
  • 2014Credit rating with a monotonicity-constrained support vector machine model89 cited
  • 2012Forecasting financial failure using a Kohonen map: A comparative study to improve model stability over time86 cited
  • 2007Measuring retail company performance using credit scoring techniques86 cited
  • 2008Financial decision support using neural networks and support vector machines85 cited
  • 2006Deciding the financial health of dot-coms using rough sets83 cited
  • 2019Detecting anomalies in financial statements using machine learning algorithm77 cited
  • 2010Comparison of Support Vector Machine and Back Propagation Neural Network in Evaluating the Enterprise Financial Distress

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74 cited
  • 2011An enforced support vector machine model for construction contractor default prediction73 cited
  • 2007Feature selection to diagnose a business crisis by using a real GA-based support vector machine: An empirical study71 cited
  • 2018Failure pattern-based ensembles applied to bankruptcy forecasting65 cited
  • 2008Handbook on Information Technology in Finance53 cited
  • 2010Usefulness of support vector machine to develop an early warning system for financial crisis51 cited
  • 2005Predicting the survival or failure of click-and-mortar corporations: A knowledge discovery approach49 cited
  • 2017Data depth based support vector machines for predicting corporate bankruptcy44 cited
  • 2020A Comprehensive Review of Corporate Bankruptcy Prediction in Hungary39 cited