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Hybrid Model for Credit Risk Prediction: An Application of Neural Network Approaches
16 references·8 citing·32 second hop
Hybrid Model for Credit Risk Prediction: An Application of Neural Network Approaches (2019)Hybrid Model for Credit Risk Prediction: …A framework for sensitivity analysis of decision trees (2017)A framework for sensitivity a…Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research (2015)Benchmarking state-of-the-art…Genetic algorithm-based heuristic for feature selection in credit risk assessment (2013)Genetic algorithm-based heuri…Support vector machines for credit scoring and discovery of significant features (2008)Support vector machines for c…Using neural network ensembles for bankruptcy prediction and credit scoring (2007)Using neural network ensemble…Recent developments in consumer credit risk assessment (2007)Recent developments in consum…Credit scoring with a data mining approach based on support vector machines (2006)Credit scoring with a data mi…Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters (2005)Bankruptcy prediction using s…A two-stage hybrid credit scoring model using artificial neural networks and multivariate adaptive regression splines (2005)A two-stage hybrid credit sco…Mining the customer credit using classification and regression tree and multivariate adaptive regression splines (2004)Mining the customer credit us…Evaluating consumer loans using neural networks (2003)Evaluating consumer loans usi…Credit scoring using the hybrid neural discriminant technique (2002)Credit scoring using the hybr…Neural network credit scoring models (2000)Neural network credit scoring…An econometric analysis of the bank credit scoring problem (1989)An econometric analysis of th…A Note on the Comparison of Logit and Discriminant Models of Consumer Credit Behavior (1980)A Note on the Comparison of L…FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)FINANCIAL RATIOS, DISCRIMINAN…Explainable AI based LightGBM prediction model to predict default borrower in social lending platform (2025)Explainable AI based LightGBM…Integration of Artificial Intelligence Technology in Management Accounting Information System: An Empirical Study (2023)Integration of Artificial Int…Credit Risk Prediction using Ensemble Machine Learning Algorithms (2023)Credit Risk Prediction using …Carbon price prediction based on decomposition technique and extreme gradient boosting optimized by the grey wolf optimizer algorithm (2023)Carbon price prediction based…Optimal cost-sensitive credit scoring using a new hybrid performance metric (2022)Optimal cost-sensitive credit…Credit risk evaluation: a comprehensive study (2022)Credit risk evaluation: a com…An optimized decomposition integration framework for carbon price prediction based on multi-factor two-stage feature dimension reduction (2022)An optimized decomposition in…Feature selection in credit risk modeling: an international evidence (2021)Feature selection in credit r…Consumer credit-risk models via machine-learning algorithms (2010)Research design and statistical analysis (2011)Information gain directed genetic algorithm wrapper feature selection for credit rating (2018)COVID-19 and stock market volatility: An industry level analysis (2020)Statistical and machine learning models in credit scoring: A systematic literature survey (2020)Credit rating analysis with support vector machines and neural networks: a market comparative study (2003)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)The Pricing of Options and Corporate Liabilities (1973)Statistical Classification Methods in Consumer Credit Scoring: A Review (1997)Machine Learning in Financial Crisis Prediction: A Survey (2011)A review of trade credit literature: Opportunities for research in operations (2013)Managerial Applications of Neural Networks: The Case of Bank Failure Predictions (1992)Corporate distress diagnosis: Comparisons using linear discriminant analysis and neural networks (the Italian experience) (1994)Benchmarking state-of-the-art classification algorithms for credit scoring (2003)Financial Ratios As Predictors of Failure (1966)Financial Ratios and the Probabilistic Prediction of Bankruptcy (1980)Applied Linear Statistical Models. 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References

  • 1968FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY14,869 cited
  • 2015Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research1,277 cited
  • 2000Neural network credit scoring models1,032 cited
  • 2005Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters872 cited
  • 2006Credit scoring with a data mining approach based on support vector machines805 cited
  • 2017A framework for sensitivity analysis of decision trees527 cited
  • 2007Using neural network ensembles for bankruptcy prediction and credit scoring514 cited
  • 2007Recent developments in consumer credit risk assessment472 cited
  • 1980A Note on the Comparison of Logit and Discriminant Models of Consumer Credit Behavior435 cited
  • 2013Genetic algorithm-based heuristic for feature selection in credit risk assessment430 cited
  • 2005A two-stage hybrid credit scoring model using artificial neural networks and multivariate adaptive regression splines389 cited
  • 2004Mining the customer credit using classification and regression tree and multivariate adaptive regression splines378 cited
  • 2002Credit scoring using the hybrid neural discriminant technique355 cited
  • 2008Support vector machines for credit scoring and discovery of significant features

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336 cited
  • 1989An econometric analysis of the bank credit scoring problem284 cited
  • 2003Evaluating consumer loans using neural networks280 cited
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    • 2023Integration of Artificial Intelligence Technology in Management Accounting Information System: An Empirical Study35 cited
    • 2022Credit risk evaluation: a comprehensive study35 cited
    • 2022Optimal cost-sensitive credit scoring using a new hybrid performance metric33 cited
    • 2021Feature selection in credit risk modeling: an international evidence32 cited
    • 2025Explainable AI based LightGBM prediction model to predict default borrower in social lending platform17 cited