Showing 1 - 9 of 9
This paper studies how demand for labor reacts to financial technology (fintech) shocks based on comprehensive databases of fintech patents and firm job postings in the U.S. during the past decade. We first develop a measure of fintech exposure at the occupation level by intersecting the textual...
Persistent link: https://www.econbiz.de/10013220639
Personal credit is the fastest-growing segments of the consumer credit market, mainly driven by fintech lenders' staggering expansion. We show that fintech lenders acquire market share by first lending to higher-risk borrowers and then to safer borrowers, and mainly rely on hard information to...
Persistent link: https://www.econbiz.de/10012851693
This paper studies how demand for labor reacts to financial technology (fintech) shocks based on comprehensive databases of fintech patents and firm job postings in the U.S. during the past decade. We first develop a measure of fintech exposure at the occupation level by intersecting the textual...
Persistent link: https://www.econbiz.de/10012510601
Persistent link: https://www.econbiz.de/10012655582
We study the personal credit market using unique individual-level data covering fintech and traditional lenders. We show that fintech lenders acquire market share by first lending to higher-risk borrowers and then to safer borrowers, and mainly rely on hard information to make credit decisions....
Persistent link: https://www.econbiz.de/10012482240
We study how lenders' responses to monetary policy are affected by changes in market concentration due to the rise of new fintech lenders. We exploit several variations on the U.S. automobile market across lenders and regions with different exposure to new fintech lending. Results support that...
Persistent link: https://www.econbiz.de/10013294023
We study the personal credit market using unique individual-level data covering fintech and traditional lenders. We show that fintech lenders acquire market share by first lending to higher-risk borrowers and then to safer borrowers, and mainly rely on hard information to make credit decisions....
Persistent link: https://www.econbiz.de/10013404323
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,...
Persistent link: https://www.econbiz.de/10014250171
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,...
Persistent link: https://www.econbiz.de/10014348980