Title
Judging Borrowers by the Company They Keep: Friendship Networks and Information Asymmetry in Online Peer-to-Peer Lending
Abstract
We study the online market for peer-to-peer P2P lending, in which individuals bid on unsecured microloans sought by other individual borrowers. Using a large sample of consummated and failed listings from the largest online P2P lending marketplace, Prosper.com, we find that the online friendships of borrowers act as signals of credit quality. Friendships increase the probability of successful funding, lower interest rates on funded loans, and are associated with lower ex post default rates. The economic effects of friendships show a striking gradation based on the roles and identities of the friends. We discuss the implications of our findings for the disintermediation of financial markets and the design of decentralized electronic markets. This paper was accepted by Sandra Slaughter, information systems.
Year
DOI
Venue
2013
10.1287/mnsc.1120.1560
Management Science
Keywords
Field
DocType
p2p lending marketplace,sandra slaughter,p2p lending,online friendship,credit quality,largest online,decentralized electronic market,information asymmetry,friendship networks,lower interest rate,online market,lower ex post default,online peer-to-peer lending,social networks,signaling
Information system,Economics,Information asymmetry,Social network,Friendship,Peer-to-peer,Microeconomics,Disintermediation,Interest rate,Financial market,Marketing
Journal
Volume
Issue
ISSN
59
1
0025-1909
Citations 
PageRank 
References 
99
5.96
22
Authors
3
Name
Order
Citations
PageRank
Mingfeng Lin120211.51
Nagpurnanand R. Prabhala21086.72
Siva Viswanathan332729.10