Consumer lending efficiency: commercial banks versus a fintech lender
نویسندگان
چکیده
Abstract Fintechs are believed to help expand credit access underserved consumers without taking on additional risk. We compare the performance efficiency of LendingClub’s unsecured personal loans with similar originated by banks. Using stochastic frontier estimation, we decompose observed nonperforming loan (NPL) ratio into three components: best-practice minimum NPL ratio, excess and a statistical noise, former two which reflect lender’s inherent risk lending inefficiency , respectively. As 2013 2016, find that higher ratios at largest banks driven risk, rather than inefficiency. Smaller less efficient. In addition, as 2013, were in line volume. However, its improved significantly from 2016. resembled – consistent an argument increased use alternative data AI/ML may have assessment capacity above beyond peers using traditional approaches. Furthermore, also investigate capital market incentives for lenders take Market value regression suggests discipline provides make risky consumer loans. decomposed components (inherent inefficiency) tells deeper underlying story: is positively related most banks, whereas it negatively appears reward exposure punish inefficient lending.
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ژورنال
عنوان ژورنال: Financial Innovation
سال: 2022
ISSN: ['2199-4730']
DOI: https://doi.org/10.1186/s40854-021-00326-1