Name
Abstract | ||
|---|---|---|
AbstractOnline peer-to-peer lending P2P lending has emerged as an appealing new channel of financing in recent years. A fundamental but largely unanswered question in this nascent industry is the choice of market mechanisms, i.e., how the supply and demand of funds are matched, and the terms price at which transactions will occur. Two of the most popular mechanisms are auctions where the "crowd" determines the price of the transaction through an auction process and posted prices where the platform determines the price. While P2P lending platforms typically use one or the other, there is little systematic research on the implications of such choices for market participants, transaction outcomes, and social welfare. We address this question both theoretically and empirically. We first develop a game-theoretic model that yields empirically testable hypotheses, taking into account the incentive of the platform. We then test these hypotheses by exploiting a regime change from auctions to posted prices on one of the largest P2P lending platforms. Consistent with our hypotheses, we find that under platform-mandated posted prices, loans are funded with higher probability, but the preset interest rates are higher than borrowers' starting interest rates and contract interest rates in auctions. More important, all else equal, loans funded under posted prices are more likely to default, thereby undermining lenders' returns on investment and their surplus. Although platform-mandated posted prices may be faster in originating loans, auctions that rely on the crowd to discover prices are not necessarily inferior in terms of overall social welfare.This paper was accepted by Chris Forman, information systems. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1287/mnsc.2016.2531 | Periodicals |
Keywords | Field | DocType |
peer-to-peer lending,market mechanisms,auctions,posted prices,debt crowdfunding | Information system,Economics,Incentive,Regime change,Microeconomics,Interest rate,Common value auction,Database transaction,Supply and demand,Social Welfare | Journal |
Volume | Issue | ISSN |
63 | 12 | 0025-1909 |
Citations | PageRank | References |
8 | 0.46 | 10 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zaiyan Wei | 1 | 8 | 0.79 |
| Mingfeng Lin | 2 | 202 | 11.51 |