Fintech Expansion

70 Pages Posted: 8 Nov 2021 Last revised: 7 Aug 2024

Date Written: November 6, 2021

Abstract

I study credit market outcomes with different competing lending technologies: A fintech lender that learns from data and is able to seize on-platform sales, and a banking sector that relies on physical collateral. Despite flexible information acquisition technology, the endogenous fintech learning is surprisingly coarse---only sets a single threshold to screen out low-quality borrowers. As the fintech lending technology improves, better enforcement harms, while better information technology benefits traditional banking sector profits. Big data technology enables the fintech to leverage data from its early-stage operations in unbanked markets to develop predictive models for expansion into new markets.

Keywords: FinTech, Banking competition, Information acquisition, Digital economy, Big data

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JEL Classification: G21, L13, L52, O33, O36

Suggested Citation

Huang, Jing, Fintech Expansion (November 6, 2021). Available at SSRN: https://ssrn.com/abstract=3957688 or http://dx.doi.org/10.2139/ssrn.3957688

Jing Huang (Contact Author)

Texas A&M University ( email )

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