User Data Can Tell Defaulters in P2P Lending
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DOI: 10.1007/s40745-017-0134-z
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- Guo, Yanhong & Zhou, Wenjun & Luo, Chunyu & Liu, Chuanren & Xiong, Hui, 2016. "Instance-based credit risk assessment for investment decisions in P2P lending," European Journal of Operational Research, Elsevier, vol. 249(2), pages 417-426.
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- Seth Freedman & Ginger Zhe Jin, 2008. "Do Social Networks Solve Information Problems for Peer-to-Peer Lending? Evidence from Prosper.com," Working Papers 08-43, NET Institute.
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"Screening in New Credit Markets: Can Individual Lenders Infer Borrower Creditworthiness in Peer-to-Peer Lending?,"
Scholarly Articles
4448882, Harvard Kennedy School of Government.
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- Milne, Alistair & Parboteeah, Paul, 2016. "The Business Models and Economics of Peer-to-Peer Lending," ECRI Papers 11594, Centre for European Policy Studies.
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- Ki Taek Park & Hyejeong Yang & So Young Sohn, 2022. "Recommendation of investment portfolio for peer-to-peer lending with additional consideration of bidding period," Annals of Operations Research, Springer, vol. 315(2), pages 1083-1105, August.
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Keywords
Peer-to-peer lending; Risk rating; Data mining;All these keywords.
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