Group Membership, Relationship Banking and Loan Default Risk: The Case of Online Social Lending
By Craig R. Everett. 2015
147 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Finance, Management Information Systems
View Paper: https://www.semanticscholar.org/paper/624e6b065598f63214975ffd58c4ccff9be0ae5b
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In Economics and Econometrics
In Finance
In Management Information Systems
Citations in the corpus
- The economics of crowdfunding platforms (2015, background): “Everett (2010) investigates default risk for online social lending markets based on group membership and nds that the geographic proximity of group members of a social lending group is negatively related to default and interest rate.”
- The roles of alternative data and machine learning in fintech lending: Evidence from the LendingClub consumer platform (2019, background): “Everett, C. R. (2010) “Group Membership, Relationship Banking and Loan Default Risk: The Case of Online Social Lending,” Banking and Finance Review, 7(2). Federal Reserve (2018) Consumer Credit, G.19, https://www.federalreserve.gov/releases/g19/current/. Freedman, S., and G. Jin (2017) “The Informat”
- Peer-to-Peer Crowdfunding: Information and the Potential for Disruption in Consumer Lending (2015, unknown): “This finding is echoed in Everett (2010), who studies the investment group feature of platforms.”
- Do fintech lenders penetrate areas that are underserved by traditional banks? (2018, background): “Everett, C. R. (2015) “Group Membership, Relationship Banking and Loan Default Risk: The Case of Online Social Lending,” Banking and Finance Review, 7(2) August, 15–54. Frame, W. S., A. Srinivasan, and L. Woosley (2001) “The Effect of Credit Scoring on Small-Business Lending,” Journal of Money, Cred”