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A Comparative Assessment of Credit Risk Model Based on Machine Learning ——a case study of bank loan data
2 references·7 citing·31 second hop
A Comparative Assessment of Credit Risk Model Based on Machine Learning ——a case study of bank loan data (2020)A Comparative Assessment of Credit Risk M…Assessing Credit Card Applications Using Machine Learning (1987)Assessing Credit Card Applica…A Note on the Comparison of Logit and Discriminant Models of Consumer Credit Behavior (1980)A Note on the Comparison of L…Advancing credit risk modelling with Machine Learning: A comprehensive review of the state-of-the-art (2024)Advancing credit risk modelli…Credit Risk Prediction using Ensemble Machine Learning Algorithms (2023)Credit Risk Prediction using …Credit risk analysis using boosting methods (2023)Credit risk analysis using bo…Comprehensive review of different artificial intelligence-based methods for credit risk assessment in data science (2023)Comprehensive review of diffe…Artificial Intelligence for Digital Finance, Axes and Techniques (2022)Artificial Intelligence for D…Enterprise Risk Assessment Based on Machine Learning (2021)Enterprise Risk Assessment Ba…Credit Risk Model Based on Central Bank Credit Registry Data (2021)Credit Risk Model Based on Ce…Applied Linear Statistical Models. (1975)Econometric Models and Economic Forecasts (1990)Mining the customer credit using classification and regression tree and multivariate adaptive regression splines (2004)A new fuzzy support vector machine to evaluate credit risk (2005)A two-stage hybrid credit scoring model using artificial neural networks and multivariate adaptive regression splines (2005)Credit scoring with a data mining approach based on support vector machines (2006)Consumer credit-risk models via machine-learning algorithms (2010)Data Science and its Relationship to Big Data and Data-Driven Decision Making (2013)Financial revolution: a systemic analysis of artificial intelligence and machine learning in the banking sector (2023)A Decision Support Approach for Accounts Receivable Risk Management (2014)A Bolasso based consistent feature selection enabled random forest classification algorithm: An application to credit risk assessment (2019)Corporate default forecasting with machine learning (2020)Machine learning models and bankruptcy prediction (2017)Refined Measures of Dynamic Connectedness based on Time-Varying Parameter Vector Autoregressions (2020)Artificial intelligence and machine learning in finance: Identifying foundations, themes, and research clusters from bibliometric analysis (2021)A Conceptual Model of Investment-Risk Prediction in the Stock Market Using Extreme Value Theory with Machine Learning: A Semisystematic Literature Review (2023)Artificial intelligence applications in finance: a survey (2023)Advanced AI and big data techniques in E-finance: a comprehensive survey (2025)A benchmark of machine learning approaches for credit score prediction (2020)Financial Inclusion in Emerging Economies: The Application of Machine Learning and Artificial Intelligence in Credit Risk Assessment (2021)Product marketing prediction based on XGboost and LightGBM algorithm (2019)Success Prediction using Random Forest, CatBoost, XGBoost and AdaBoost for Kickstarter Campaigns (2019)Credit Risk Assessment based on Gradient Boosting Decision Tree (2020)Bankruptcy prediction using imaged financial ratios and convolutional neural networks (2018)Deep learning models for bankruptcy prediction using textual disclosures (2018)The journal coverage of Web of Science and Scopus: a comparative analysis (2015)Equality of Opportunity in Supervised Learning (2016)Guidance on Conducting a Systematic Literature Review (2017)Multiple classifier application to credit risk assessment (2009)An empirical study of classification algorithm evaluation for financial risk prediction (2010)Credit risk evaluation using a weighted least squares SVM classifier with design of experiment for parameter selection (2011)
this work references cited by second hop

References

  • 1980A Note on the Comparison of Logit and Discriminant Models of Consumer Credit Behavior435 cited
  • 1987Assessing Credit Card Applications Using Machine Learning204 cited

Cited by

  • 2024Advancing credit risk modelling with Machine Learning: A comprehensive review of the state-of-the-art42 cited
  • 2023Credit Risk Prediction using Ensemble Machine Learning Algorithms41 cited
  • 2023Comprehensive review of different artificial intelligence-based methods for credit risk assessment in data science40 cited
  • 2021Credit Risk Model Based on Central Bank Credit Registry Data32 cited
  • 2022Artificial Intelligence for Digital Finance, Axes and Techniques31 cited
  • 2021Enterprise Risk Assessment Based on Machine Learning27 cited
  • 2023Credit risk analysis using boosting methods20 cited

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