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A Data-Driven Approach to Predict Default Risk of Loan for Online Peer-to-Peer (P2P) Lending

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References

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2010Screening in New Credit Markets: Can Individual Lenders Infer Borrower Creditworthiness in Peer-to-Peer Lending?150 cited

2002DATA MINING VIA MULTIPLE CRITERIA LINEAR PROGRAMMING: APPLICATIONS IN CREDIT CARD PORTFOLIO MANAGEMENT130 cited

Cited by

2020Determinants of defaults on P2P lending platforms in China48 cited
2021Internet financing credit risk evaluation using multiple structural interacting elastic net feature selection48 cited
2021How to identify early defaults in online lending: A cost-sensitive multi-layer learning framework46 cited
2022Default or profit scoring credit systems? Evidence from European and US peer-to-peer lending markets45 cited
2020Credit risk evaluation model with textual features from loan descriptions for P2P lending45 cited
2019Improving Credit Risk Prediction in Online Peer-to-Peer (P2P) Lending Using Feature selection with Deep learning44 cited
2021Risk-return modelling in the p2p lending market: Trends, gaps, recommendations and future directions33 cited
2017Prediction analysis of risky credit using Data mining classification models32 cited
2018Can Listing Information Indicate Borrower Credit Risk in Online Peer-to-Peer Lending?31 cited
2022Artificial intelligence in Peer-to-peer lending in India: a cross-case analysis26 cited
2020Loan Default Forecasting using Data Mining23 cited
2023Throwing Good Money After Bad: Risk Mitigation Strategies in the P2P Lending Platforms18 cited