Determinants of Default in P2P Lending
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Open Access
- 1 October 2015
- journal article
- research article
- Published by Public Library of Science (PLoS) in PLOS ONE
- Vol. 10 (10), e0139427
- https://doi.org/10.1371/journal.pone.0139427
Abstract
This paper studies P2P lending and the factors explaining loan default. This is an important issue because in P2P lending individual investors bear the credit risk, instead of financial institutions, which are experts in dealing with this risk. P2P lenders suffer a severe problem of information asymmetry, because they are at a disadvantage facing the borrower. For this reason, P2P lending sites provide potential lenders with information about borrowers and their loan purpose. They also assign a grade to each loan. The empirical study is based on loans’ data collected from Lending Club (N = 24,449) from 2008 to 2014 that are first analyzed by using univariate means tests and survival analysis. Factors explaining default are loan purpose, annual income, current housing situation, credit history and indebtedness. Secondly, a logistic regression model is developed to predict defaults. The grade assigned by the P2P lending site is the most predictive factor of default, but the accuracy of the model is improved by adding other information, especially the borrower’s debt level.Keywords
This publication has 63 references indexed in Scilit:
- Bankruptcy Cascades in Interbank MarketsPLOS ONE, 2012
- Herding behavior in online P2P lending: An empirical investigationElectronic Commerce Research and Applications, 2012
- From the wisdom of crowds to my own judgment in microfinance through online peer-to-peer lending platformsElectronic Commerce Research and Applications, 2012
- Do interest rates matter? Credit demand in the Dhaka slumsJournal of Development Economics, 2012
- Structural Models in Consumer CreditSSRN Electronic Journal, 2004
- What do We Know about Loss Given Default?SSRN Electronic Journal, 2004
- Statistical Classification Methods in Consumer Credit Scoring: A ReviewJournal of the Royal Statistical Society Series A: Statistics in Society, 1997
- Corporate financing and investment decisions when firms have information that investors do not haveJournal of Financial Economics, 1984
- A TRANSACTIONS COST APPROACH TO THE THEORY OF FINANCIAL INTERMEDIATIONThe Journal of Finance, 1976
- The Market for "Lemons": Quality Uncertainty and the Market MechanismThe Quarterly Journal of Economics, 1970