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Utilizing historical data for corporate credit rating assessment
16 references·8 citing·38 second hop
Utilizing historical data for corporate credit rating assessment (2020)Utilizing historical data for corporate c…Cost-based feature selection for Support Vector Machines: An application in credit scoring (2017)Cost-based feature selection …A deep learning approach for credit scoring using credit default swaps (2016)A deep learning approach for …A comparative study on base classifiers in ensemble methods for credit scoring (2016)A comparative study on base c…Comparing the learning effectiveness of BP, ELM, I-ELM, and SVM for corporate credit ratings (2013)Comparing the learning effect…A corporate credit rating model using multi-class support vector machines with an ordinal pairwise partitioning approach (2011)A corporate credit rating mod…Credit rating by hybrid machine learning techniques (2009)Credit rating by hybrid machi…Neural nets versus conventional techniques in credit scoring in Egyptian banking (2007)Neural nets versus convention…Credit risk assessment with a multistage neural network ensemble learning approach (2007)Credit risk assessment with a…A new fuzzy support vector machine to evaluate credit risk (2005)A new fuzzy support vector ma…A novel nonlinear ensemble forecasting model incorporating GLAR and ANN for foreign exchange rates (2004)A novel nonlinear ensemble fo…Financial time series forecasting using support vector machines (2003)Financial time series forecas…Benchmarking state-of-the-art classification algorithms for credit scoring (2003)Benchmarking state-of-the-art…Neural network credit scoring models (2000)Neural network credit scoring…A survey of credit and behavioural scoring: forecasting financial risk of lending to consumers (2000)A survey of credit and behavi…A comparison of neural networks and linear scoring models in the credit union environment (1996)A comparison of neural networ…An Examination of the Conceptual Issues Involved in Developing Credit-Scoring Models (1983)An Examination of the Concept…When Do Individuals Believe in Themselves Rather Than in Artificial Intelligence? Insights from Longitudinal Investigations in Corporate Credit‐Rating Contexts (2025)When Do Individuals Believe i…Corporate financial distress prediction using the risk-related information content of annual reports (2024)Corporate financial distress …Enriching the green economy through sustainable investments: An ESG-based credit rating model for green financing (2023)Enriching the green economy t…Credit risk prediction based on loan profit: Evidence from Chinese SMEs (2023)Credit risk prediction based …Credit rating prediction with supply chain information: a machine learning perspective (2023)Credit rating prediction with…When Can AI Reduce Individuals’ Anchoring Bias and Enhance Decision Accuracy? 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References

  • 2003Financial time series forecasting using support vector machines1,734 cited
  • 2000Neural network credit scoring models1,032 cited
  • 2003Benchmarking state-of-the-art classification algorithms for credit scoring903 cited
  • 2000A survey of credit and behavioural scoring: forecasting financial risk of lending to consumers744 cited
  • 1996A comparison of neural networks and linear scoring models in the credit union environment522 cited
  • 2005A new fuzzy support vector machine to evaluate credit risk383 cited
  • 2007Credit risk assessment with a multistage neural network ensemble learning approach310 cited
  • 2004A novel nonlinear ensemble forecasting model incorporating GLAR and ANN for foreign exchange rates259 cited
  • 2016A comparative study on base classifiers in ensemble methods for credit scoring248 cited
  • 2016A deep learning approach for credit scoring using credit default swaps196 cited
  • 2009Credit rating by hybrid machine learning techniques177 cited
  • 2007Neural nets versus conventional techniques in credit scoring in Egyptian banking168 cited
  • 2011A corporate credit rating model using multi-class support vector machines with an ordinal pairwise partitioning approach165 cited
  • 2017Cost-based feature selection for Support Vector Machines: An application in credit scoring

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155 cited
  • 1983An Examination of the Conceptual Issues Involved in Developing Credit-Scoring Models137 cited
  • 2013Comparing the learning effectiveness of BP, ELM, I-ELM, and SVM for corporate credit ratings132 cited
  • Cited by

    • 2023Enriching the green economy through sustainable investments: An ESG-based credit rating model for green financing70 cited
    • 2024Corporate financial distress prediction using the risk-related information content of annual reports47 cited
    • 2022Developing an integrated fuzzy credit rating system for SMEs using fuzzy-BWM and fuzzy-TOPSIS-Sort-C44 cited
    • 2022Assessing and predicting small industrial enterprises’ credit ratings: A fuzzy decision-making approach35 cited
    • 2023Credit risk prediction based on loan profit: Evidence from Chinese SMEs28 cited
    • 2023Credit rating prediction with supply chain information: a machine learning perspective22 cited
    • 2025When Do Individuals Believe in Themselves Rather Than in Artificial Intelligence? Insights from Longitudinal Investigations in Corporate Credit‐Rating Contexts5 cited
    • 2022When Can AI Reduce Individuals’ Anchoring Bias and Enhance Decision Accuracy? Evidence from Multiple Longitudinal Experiments5 cited