Financial journals have just begun to examine the implications of unsecured fixed-rate loans between lenders and borrowers administered over the internet. This study observes 31,550 loans issued between June 2007 and April 2013 with a 36-month term, that are fully paid or charged off, based on a data set from the largest P2P lending website. Initial findings within peer-to-peer (P2P) lending markets have identified that social disclosures may influence these markets. The result of this analysis unambiguously confirms social disclosures influence lenders and the factors significant for funding a loan are inconsistent with the factors significant to repayment of the loan. Prescriptive filters based on social disclosures can improve the likelihood of selecting a creditworthy borrower and increase the models explanatory power. The study finds that distinct forms of social disclosure and specific content within social disclosures predict the amount of funding received and probability of loan repayment.
| Identifer | oai:union.ndltd.org:nova.edu/oai:nsuworks.nova.edu:hsbe_etd-1132 |
| Date | 01 January 2017 |
| Creators | Jordan, Robert A. |
| Publisher | NSUWorks |
| Source Sets | Nova Southeastern University |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | HCBE Theses and Dissertations |
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