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Network effects on interest rates in online social lending

dc.contributor.authorBrandes, Ulrik
dc.contributor.authorLerner, Jürgen
dc.contributor.authorNick, Bobo
dc.contributor.authorRendle, Steffen
dc.contributor.editorHeiß, Hans-Ulrich
dc.contributor.editorPepper, Peter
dc.contributor.editorSchlingloff, Holger
dc.contributor.editorSchneider, Jörg
dc.date.accessioned2018-11-27T09:59:43Z
dc.date.available2018-11-27T09:59:43Z
dc.date.issued2011
dc.description.abstractPeer-to-peer lending platforms such as Prosper Marketplace facilitate lending by matching potential borrowers with potential lenders using an auction mechanism. Borrowers can post loan requests and lenders can bid on a request specifying a minimum interest rate and an amount they are willing to lend. In this paper we analyze the impact of social information on the interest rate of funded loans and on the credit default risk. While externally determined credit grades strongly influence these outcomes, there is large variation within classes. We hypothesize that potential lenders use social information – including group membership and endorsements from other users – to trust some borrowers more than it is suggested by their credit grade. Furthermore we analyze whether this social behavior is rational in the sense that it leads to lower credit default risk for those that get lower interest rates.en
dc.identifier.isbn978-88579-286-4
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/18749
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofINFORMATIK 2011 – Informatik schafft Communities
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-192
dc.titleNetwork effects on interest rates in online social lendingen
dc.typeText/Conference Paper
gi.citation.endPage429
gi.citation.publisherPlaceBonn
gi.citation.startPage429
gi.conference.date4.-7. Oktober 2011
gi.conference.locationBerlin
gi.conference.sessiontitleRegular Research Papers

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