The peer to peer (p2p) lending industry has grown fast in recent years. This study put an eye on the credit evaluation system of one of the p2p platform named lending club. The author used the empirical method and discussed the determinants of the interest rate and the default risk in the p2p lending market. The author concluded that the evaluation system founded by lending club could predict the risk of loans. Collecting more information about borrowers’ credit history may increase the accuracy of the model.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:mdh-44052 |
| Date | January 2019 |
| Creators | Liu, Guanting |
| Publisher | Mälardalens högskola, Akademin för ekonomi, samhälle och teknik |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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