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Enhanced default risk models with SVM+
13 references·6 citing·39 second hop
Enhanced default risk models with SVM+ (2012)Enhanced default risk models with SVM+The use of hybrid manifold learning and support vector machines in the prediction of business failure (2010)The use of hybrid manifold le…Fuzzy Support Vector Machine for bankruptcy prediction (2010)Fuzzy Support Vector Machine …Hybrid and ensemble-based soft computing techniques in bankruptcy prediction: a survey (2009)Hybrid and ensemble-based sof…Beyond business failure prediction (2009)Beyond business failure predi…A hybrid approach of DEA, rough set and support vector machines for business failure prediction (2009)A hybrid approach of DEA, rou…Predicting bank financial failures using neural networks, support vector machines and multivariate statistical methods: A comparative analysis in the sample of savings deposit insurance fund (SDIF) transferred banks in Turkey (2008)Predicting bank financial fai…Failure processes and causes of company bankruptcy: a typology (2008)Failure processes and causes …Improving bankruptcy prediction with Hidden Layer Learning Vector Quantization (2006)Improving bankruptcy predicti…Bankruptcy prediction in banks and firms via statistical and intelligent techniques – A review (2006)Bankruptcy prediction in bank…Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters (2005)Bankruptcy prediction using s…Bankruptcy prediction for credit risk using neural networks: A survey and new results (2001)Bankruptcy prediction for cre…Corporate Financial Distress and Bankruptcy: A Complete Guide to Predicting & Avoiding Distress and Profiting from Bankruptcy (1993)Corporate Financial Distress …FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)FINANCIAL RATIOS, DISCRIMINAN…Transforming credit risk assessment: A systematic review of AI and machine learning applications (2025)Transforming credit risk asse…Adoption of artificial intelligence-based credit risk assessment and fraud detection in the banking services: a hybrid approach (SEM-ANN) (2025)Adoption of artificial intell…Machine learning for liquidity risk modelling: A supervisory perspective (2022)Machine learning for liquidit…Machine Learning Applied to Banking Supervision a Literature Review (2021)Machine Learning Applied to B…A Comparative Study of Machine Learning Approaches for Non Performing Loan Prediction (2021)A Comparative Study of Machin…Shaping graph pattern mining for financial risk (2017)Shaping graph pattern mining …ON THE PRICING OF CORPORATE DEBT: THE RISK STRUCTURE OF INTEREST RATES* (1974)Financial Ratios and the Probabilistic Prediction of Bankruptcy (1980)Technology credit scoring model with fuzzy logistic regression (2016)Multi-class financial distress prediction based on support vector machines integrated with the decomposition and fusion methods (2021)Research on financial early warning of mining listed companies based on BP neural network model (2021)Case Study Research: Design and Methods (1984)Managerial incentives and risk-taking☆ (2005)Building theories from case study research (2009)Does Family Involvement in Management Reduce the Risk of Business Failure? 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An empirical analysis (2007)Predicting restaurant financial distress using decision tree and AdaBoosted decision tree models (2013)Consumer credit-risk models via machine-learning algorithms (2010)A boosted decision tree approach using Bayesian hyper-parameter optimization for credit scoring (2017)Financial crises and bank failures: A review of prediction methods (2009)Bankruptcy forecasting: A hybrid approach using Fuzzy c-means clustering and Multivariate Adaptive Regression Splines (MARS) (2010)Bankruptcy visualization and prediction using neural networks: A study of U.S. commercial banks (2014)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
  • 2006Bankruptcy prediction in banks and firms via statistical and intelligent techniques – A review1,068 cited
  • 2005Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters872 cited
  • 2001Bankruptcy prediction for credit risk using neural networks: A survey and new results696 cited
  • 2008Predicting bank financial failures using neural networks, support vector machines and multivariate statistical methods: A comparative analysis in the sample of savings deposit insurance fund (SDIF) transferred banks in Turkey286 cited
  • 2008Failure processes and causes of company bankruptcy: a typology252 cited
  • 1993Corporate Financial Distress and Bankruptcy: A Complete Guide to Predicting & Avoiding Distress and Profiting from Bankruptcy251 cited
  • 2010Fuzzy Support Vector Machine for bankruptcy prediction174 cited
  • 2009Hybrid and ensemble-based soft computing techniques in bankruptcy prediction: a survey168 cited
  • 2009A hybrid approach of DEA, rough set and support vector machines for business failure prediction167 cited
  • 2006Improving bankruptcy prediction with Hidden Layer Learning Vector Quantization97 cited
  • 2009Beyond business failure prediction94 cited
  • 2010The use of hybrid manifold learning and support vector machines in the prediction of business failure83 cited

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Cited by

  • 2021Machine Learning Applied to Banking Supervision a Literature Review42 cited
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  • 2025Adoption of artificial intelligence-based credit risk assessment and fraud detection in the banking services: a hybrid approach (SEM-ANN)29 cited
  • 2021A Comparative Study of Machine Learning Approaches for Non Performing Loan Prediction25 cited
  • 2017Shaping graph pattern mining for financial risk18 cited
  • 2025Transforming credit risk assessment: A systematic review of AI and machine learning applications17 cited