More Credit, More Debt: New Evidence on Automated Credit Decisions

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Authors: Vitaly M. Bord, Ágnes M. Kovács, Patrick Moran
Cited by: 0

Abstract

Behind the scenes of every credit card lies an increasingly complex algorithmic infrastructure that determines who receives more credit and when, largely outside the inspection or knowledge of credit card users. Credit card issuers deploy sophisticated algorithms that continuously analyze consumer spending and borrowing behaviors, often increasing credit limits without consumers requesting such changes.

Fields of Study & Subjects

FinTech Crowdfunding Digital Finance Financial Distress and Bankruptcy Prediction Banking stability regulation efficiency

Publication details

Journal / source
FEDS Notes
Issue
2026-01-16-1
Publication date
1 January 2026