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P2P Network Lending, Loss Given Default and Credit Risks
10 references·4 citing·50 second hop
P2P Network Lending, Loss Given Default and Credit Risks (2018)P2P Network Lending, Loss Given Default a…Evaluating borrower’s default risk in peer-to-peer lending: evidence from a lending platform in China (2016)Evaluating borrower’s default…Risk assessment in social lending via random forests (2015)Risk assessment in social len…How low can you go? — Overcoming the inability of lenders to set proper interest rates on unsecured peer-to-peer lending markets (2015)How low can you go? — Overcom…Determinants of Default in P2P Lending (2015)Determinants of Default in P2…Evaluating credit risk and loan performance in online Peer-to-Peer (P2P) lending (2014)Evaluating credit risk and lo…A literature review on the application of evolutionary computing to credit scoring (2012)A literature review on the ap…Social interactions in P2P lending (2009)Social interactions in P2P le…What Do We Know About Loss Given Default? (2004)What Do We Know About Loss Gi…Default Parameter Estimation Using Market Prices (2001)Default Parameter Estimation …Almost Everything You Wanted to Know about Recoveries on Defaulted Bonds (1996)Almost Everything You Wanted …Profit-sensitive machine learning classification with explanations in credit risk: The case of small businesses in peer-to-peer lending (2024)Profit-sensitive machine lear…Fintech platforms: Lax or careful borrowers’ screening? (2021)Fintech platforms: Lax or car…Comparing Performance of Machine Learning Algorithms for Default Risk Prediction in Peer to Peer Lending (2021)Comparing Performance of Mach…Information disclosure and the default risk of online peer-to-peer lending platform (2020)Information disclosure and th…Credit scoring with a data mining approach based on support vector machines (2006)A benchmark of machine learning approaches for credit score prediction (2020)Fairness in Machine Learning (2020)What have we learnt from 10 years of fintech research? a scientometric analysis (2020)Banker to the poor: micro-lending and the battle against world poverty (2000)Neural network credit scoring models (2000)Trust and Credit: The Role of Appearance in Peer-to-peer Lending (2012)Who Can Get Money? 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this work references cited by second hop

References

  • 2014Evaluating credit risk and loan performance in online Peer-to-Peer (P2P) lending495 cited
  • 1996Almost Everything You Wanted to Know about Recoveries on Defaulted Bonds483 cited
  • 2015Risk assessment in social lending via random forests398 cited
  • 2015Determinants of Default in P2P Lending327 cited
  • 2004What Do We Know About Loss Given Default?280 cited
  • 2001Default Parameter Estimation Using Market Prices206 cited
  • 2016Evaluating borrower’s default risk in peer-to-peer lending: evidence from a lending platform in China152 cited
  • 2012A literature review on the application of evolutionary computing to credit scoring109 cited
  • 2015How low can you go? — Overcoming the inability of lenders to set proper interest rates on unsecured peer-to-peer lending markets96 cited
  • 2009Social interactions in P2P lending74 cited

Cited by

  • 2021Comparing Performance of Machine Learning Algorithms for Default Risk Prediction in Peer to Peer Lending25 cited
  • 2021Fintech platforms: Lax or careful borrowers’ screening?22 cited
  • 2024Profit-sensitive machine learning classification with explanations in credit risk: The case of small businesses in peer-to-peer lending20 cited
  • 2020Information disclosure and the default risk of online peer-to-peer lending platform

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19 cited