Fintechs are believed to help expand credit access to underserved consumers without taking on additional risk. We compare the performance efficiency of LendingClub's unsecured personal loans with similar loans originated by banks. Using stochastic frontier estimation, we decompose the observed...

We compare the performance of unsecured personal installment loans made by traditional bank lenders with that of LendingClub, using a stochastic frontier estimation technique to decompose the observed nonperforming loans into three components. The first is the best-practice minimum ratio that a...

Using 2013 and 2016 data, we compare the performance of unsecured consumer loans made by U.S. bank holding companies to that of the fintech lender, LendingClub. We focus on the volume of nonperforming unsecured consumer loans and apply a novel technique developed by Hughes and Moon (2017) that...

Supersedes Working Paper 17-17 Fintech has been playing an increasing role in shaping financial and banking landscapes. In this paper, we use account-level data from LendingClub and Y-14M data reported by U.S. banks with assets over $50 billion to examine whether the fintech lending platform...

This paper uses a unique data set to shed new light on the credit availability and credit performance of consumer bankruptcy filers. In particular, our data allow us to distinguish between Chapter 7 and Chapter 13 bankruptcy filings, to observe changes in credit demand and supply explicitly, to...