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Comparing Performance of Machine Learning Algorithms for Default Risk Prediction in Peer to Peer Lending
11 references·2 citing·49 second hop
Comparing Performance of Machine Learning Algorithms for Default Risk Prediction in Peer to Peer Lending (2021)Comparing Performance of Machine Learning…Latent Factor Models for Credit Scoring in P2P Systems (2019)Latent Factor Models for Cred…P2P Network Lending, Loss Given Default and Credit Risks (2018)P2P Network Lending, Loss Giv…Determinants of Borrowers’ Default in P2P Lending under Consideration of the Loan Risk Class (2018)Determinants of Borrowers’ De…A Novel behavioral scoring model for estimating probability of default over time in peer-to-peer lending (2017)A Novel behavioral scoring mo…The sharing economy: Why people participate in collaborative consumption (2015)The sharing economy: Why peop…Determinants of Default in P2P Lending (2015)Determinants of Default in P2…Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research (2015)Benchmarking state-of-the-art…CREDIT SCORING, STATISTICAL TECHNIQUES AND EVALUATION CRITERIA: A REVIEW OF THE LITERATURE (2011)CREDIT SCORING, STATISTICAL T…Bank size, lending technologies, and small business finance (2010)Bank size, lending technologi…Consumer credit scoring models with limited data (2008)Consumer credit scoring model…Benchmarking state-of-the-art classification algorithms for credit scoring (2003)Benchmarking state-of-the-art…Explainable AI based LightGBM prediction model to predict default borrower in social lending platform (2025)Explainable AI based LightGBM…Bibliometric analysis of Journal of Money Laundering Control : emerging trends and a way forward (2023)Bibliometric analysis of Jour…Applied Statistical Decision Theory (1962)FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)Econometric Models and Economic Forecasts (1990)Business intelligence in banking: A literature analysis from 2002 to 2013 using text mining and latent Dirichlet allocation (2014)Statistical and machine learning models in credit scoring: A systematic literature survey (2020)Neural network credit scoring models (2000)Credit scoring with a data mining approach based on support vector machines (2006)The comparisons of data mining techniques for the predictive accuracy of probability of default of credit card clients (2008)A boosted decision tree approach using Bayesian hyper-parameter optimization for credit scoring (2017)Financial Intermediation and Delegated Monitoring (1984)Insiders and Outsiders: The Choice between Informed and Arm's-Length Debt (1992)The Benefits of Lending Relationships: Evidence from Small Business Data (1994)Determinants of start-up firm external financing worldwide (2011)Does banking competition alleviate or worsen credit constraints faced by small- and medium-sized enterprises? 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this work references cited by second hop

References

  • 2015The sharing economy: Why people participate in collaborative consumption3,436 cited
  • 2015Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research1,277 cited
  • 2003Benchmarking state-of-the-art classification algorithms for credit scoring903 cited
  • 2010Bank size, lending technologies, and small business finance467 cited
  • 2011CREDIT SCORING, STATISTICAL TECHNIQUES AND EVALUATION CRITERIA: A REVIEW OF THE LITERATURE409 cited
  • 2015Determinants of Default in P2P Lending327 cited
  • 2008Consumer credit scoring models with limited data130 cited
  • 2017A Novel behavioral scoring model for estimating probability of default over time in peer-to-peer lending89 cited
  • 2019Latent Factor Models for Credit Scoring in P2P Systems64 cited
  • 2018Determinants of Borrowers’ Default in P2P Lending under Consideration of the Loan Risk Class59 cited
  • 2018P2P Network Lending, Loss Given Default and Credit Risks31 cited

Cited by

  • 2025Explainable AI based LightGBM prediction model to predict default borrower in social lending platform17 cited
  • 2023Bibliometric analysis of Journal of Money Laundering Control : emerging trends and a way forward15 cited

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