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Predicting Default Risk of Lending Club Loans
1 references·4 citing·17 second hop
Predicting Default Risk of Lending Club Loans (2016)Predicting Default Risk of Lending Club L…The Sensitivity of the Loss Given Default Rate to Systematic Risk: New Empirical Evidence on Bank Loans (2008)The Sensitivity of the Loss G…Optimizing Credit Risk Prediction for Peer-to-Peer Lending Using Machine Learning (2025)Optimizing Credit Risk Predic…Optimization of Enterprise Financial Risk Management and Crisis Early Warning System Supported by AI (2024)Optimization of Enterprise Fi…Loan Default Prediction Based on Machine Learning Methods (2023)Loan Default Prediction Based…An implementation of ensemble methods, logistic regression, and neural network for default prediction in Peer-to-Peer lending (2021)An implementation of ensemble…The Link between Default and Recovery Rates: Theory, Empirical Evidence, and Implications* (2005)Does industry-wide distress affect defaulted firms? Evidence from creditor recoveries (2007)Do Bankruptcy Codes Matter? A Study of Defaults in France, Germany, and the U.K. (2008)Improvements in loss given default forecasts for bank loans (2013)Estimation of Regulatory Credit Risk Models (2014)Forecasting recovery rates on non-performing loans with machine learning (2020)Statistical Classification Methods in Consumer Credit Scoring: A Review (1997)Neural network credit scoring models (2000)Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research (2015)Credit risk measurement: Developments over the last 20 years (1997)Corporate governance characteristics and default prediction modeling for small enterprises. An empirical analysis of Italian firms (2014)Machine learning techniques for credit risk evaluation: a systematic literature review (2020)Research on financial early warning of mining listed companies based on BP neural network model (2021)Risk prediction in financial management of listed companies based on optimized BP neural network under digital economy (2022)Digital finance and corporate financial fraud (2023)Practical Bayesian Optimization of Machine Learning Algorithms (2012)A boosted decision tree approach using Bayesian hyper-parameter optimization for credit scoring (2017)
this work references cited by second hop

References

  • 2008The Sensitivity of the Loss Given Default Rate to Systematic Risk: New Empirical Evidence on Bank Loans93 cited

Cited by

  • 2025Optimizing Credit Risk Prediction for Peer-to-Peer Lending Using Machine Learning13 cited
  • 2024Optimization of Enterprise Financial Risk Management and Crisis Early Warning System Supported by AI12 cited
  • 2021An implementation of ensemble methods, logistic regression, and neural network for default prediction in Peer-to-Peer lending12 cited
  • 2023Loan Default Prediction Based on Machine Learning Methods11 cited

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