{"title":"网络借贷市场的竞争与逆向选择","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":"{\"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}","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}
Competition and Adverse Selection in an Online Lending Market
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.