Predicting Credit Risk in European P2P Lending: A Case Study of “Bondora” Using Supervised Machine Learning Techniques
Author:
Affiliation:
1. Symbiosis Institute of Geoinformatics Symbiosis International (Deemed University),Pune,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10353069/10353233/10353353.pdf?arnumber=10353353
Reference18 articles.
1. Default or profit scoring credit systems? Evidence from European and US peer-to-peer lending markets
2. P2P Lending Default Prediction Based on AI and Statistical Models
3. Credit Risk Analysis in Peer-to-Peer Lending System
4. Predicting Credit Risk in Peer-to-Peer Lending: A Neural Network Approach
5. Optimizing the Borrowing Limit and Interest Rate in P2P System: From Borrowers’ Perspective
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