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Working Paper
Important Factors Determining Fintech Loan Default: Evidence from the LendingClub Consumer Platform
This study examines key default determinants of fintech loans, using loan-level data from the LendingClub consumer platform during 2007–2018. We identify a robust set of contractual loan characteristics, borrower characteristics, and macroeconomic variables that are important in determining default. We find an important role of alternative data in determining loan default, even after controlling for the obvious risk characteristics and the local economic factors. The results are robust to different empirical approaches. We also find that homeownership and occupation are important factors in ...
Working Paper
The Roles of Alternative Data and Machine Learning in Fintech Lending: Evidence from the LendingClub Consumer Platform
Supersedes Working Paper 17-17. Fintech has been playing an increasing role in shaping financial and banking landscapes. There have been concerns about the use of alternative data sources by fintech lenders and the impact on financial inclusion. We compare loans made by a large fintech lender and similar loans that were originated through traditional banking channels. Specifically, we use account-level data from LendingClub and Y-14M data reported by bank holding companies with total assets of $50 billion or more. We find a high correlation with interest rate spreads, LendingClub rating ...
Working Paper
Peer-to-peer lending to small businesses
The current paper examines loan-level data from Lending Club to look at peer-to-peer borrowing by small businesses. We begin by looking at characteristics of loan applications that were and were not funded and then take a more in-depth look at funded applications. Summary statistics show an increasing number of small business loan applications over time. Beginning in 2010--when consistent measures of loan purpose were recorded for all applications--loan applications for small businesses were on average less likely than loans for other purposes to have been funded. However, logistic regression ...
Working Paper
Marketplace Lending and Consumer Credit Outcomes : Evidence from Prosper
In 2005, Prosper launched the first peer-to-peer lending website in the US, allowing for consumers to apply for and receive loans entirely online. To understand the effect of this new credit source, we match application-level data from Prosper to credit bureau data. Post application, borrowers' credit scores increase and their credit card utilization rates fall relative to non-borrowers in the short run. In the longer run, total debt levels for borrowers are higher that of non-borrowers. Differences in mortgage debt are particularly large and increasing over time. Despite increased debt ...
Working Paper
Do Fintech Lenders Penetrate Areas That Are Underserved by Traditional Banks?
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 could expand credit access to consumers. We find that LendingClub?s consumer lending activities have penetrated areas that may be underserved by traditional banks, such as in highly concentrated markets and in areas that have fewer bank branches per capita. We also find that the portion of LendingClub ...
Working Paper
Fintech Lending: Financial Inclusion, Risk Pricing, and Alternative Information
Fintech has been playing an increasing role in shaping financial and banking landscapes. Banks have been concerned about the uneven playing field because fintech lenders are not subject to the same rigorous oversight. There have also been concerns about the use of alternative data sources by fintech lenders and the impact on financial inclusion. In this paper, we explore the advantages/disadvantages of loans made by a large fintech lender and similar loans that were originated through traditional banking channels. Specifically, we use account-level data from the Lending Club and Y-14M bank ...