We examine the effects of FinTech lending on firm policies using proprietary data on loan applications and loans granted from a peer-to-business platform. We find that FinTech serves high quality and creditworthy small businesses who already have access to bank credit. Firms access FinTech to...

We show that FinTech lending affects credit markets and real economic activity using a unique data set of a Peer-to-Business platform for which we have the universe of loan applications. We find that FinTech serves high quality and creditworthy small businesses who already have access to bank...

We examine the effects of FinTech lending on firm policies using proprietary data on loan applications and loans granted from a peer-to-business platform. We find that FinTech serves high-quality and creditworthy small businesses who already have access to bank credit. Firms access FinTech to...

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...

We study the role of privacy-insensitive data on device attributes in identifying loan default, under the context of ongoing tension between privacy protection and credit efficiency. Using a unique applicant-level data from a leading Fintech credit institution in China and merging two basic...

This paper explores default in the FinTech marketplace lending market using a dataset of both extensive credit and soft information for borrowers from the largest marketplace lender in the United States. I find that both macro and regional economic conditions play a role in consumer default and...

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...

This study investigates the behavior of bank non-performing loans in the Fintech era. Using data from 35 developed countries from 1998 to 2016, the findings show that non-performing loans are fewer in the second wave Fintech era. Also, bank non-performing loans are positively related to the...

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...

From 2010-2015, China liberalized margin lending, resulting in an unprecedented expansion of margin loans to financially constrained households. We implement a regression discontinuity design based on the ranking procedure used during the deregulation and estimate a large impact of this credit...