{"title":"Competition and Adverse Selection in an Online Lending Market","authors":"Don Carmichael","doi":"10.2139/ssrn.2985908","DOIUrl":null,"url":null,"abstract":"Using data from Lending Club and Prosper, the two largest peer-to-peer lenders in the U.S., we provide evidence of adverse selection in the online personal lending market. Borrowers who were rejected by a competitor are 2.5 times more likely to default than borrowers who were not rejected by a competitor, conditional on receiving the same contract. We also show that modeled competitors' interest rate offers are significantly related to default; these offers provide explanatory power that is not captured by the actual interest rates on the loans.","PeriodicalId":232169,"journal":{"name":"ERN: Other Microeconomics: Asymmetric & Private Information (Topic)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ERN: Other Microeconomics: Asymmetric & Private Information (Topic)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.2985908","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Using data from Lending Club and Prosper, the two largest peer-to-peer lenders in the U.S., we provide evidence of adverse selection in the online personal lending market. Borrowers who were rejected by a competitor are 2.5 times more likely to default than borrowers who were not rejected by a competitor, conditional on receiving the same contract. We also show that modeled competitors' interest rate offers are significantly related to default; these offers provide explanatory power that is not captured by the actual interest rates on the loans.