FinTech lending--known for using big data and advanced technologies--promised to break away from the traditional credit scoring and pricing models. Using a comprehensive dataset of FinTech personal loans, our study shows that loan rates continue to rely heavily on conventional credit scores,...

A binding interest rate cap on household savings is a common form of financial repression in developing economies and typically benefits banks. Using proprietary data from a leading Chinese FinTech company, we study Fintech's role in ending financial repression in China through the introduction...

Discrimination in lending can occur either in face-to-face decisions or in algorithmic scoring. We provide a workable interpretation of the courts' legitimate-business-necessity defense of statistical discrimination. We then estimate the extent of racial/ethnic discrimination in the largest...

In this paper, we review the growing literature on FinTech lending - the provision of credit facilitated by technology that improves the customer-lender interaction or lenders' screening and monitoring of borrowers. FinTech lending has grown rapidly, though in developed economies like the U.S....

With the onset of the COVID-19 crisis in March 2020, small business lending through fintech lenders collapsed. We explore the reasons for the market shutdown using detailed data about loan applications, offers, and take-up from a major small business fintech credit platform. We document that...