ML-QuantSubscribe

SSRNRisk, Credit & Banking

Alternative Data for Credit Scoring

The study shows that retail transaction data can be used to generate credit scores for unbanked individuals, leading to higher credit card approval rates.

Featured in No. 52 on 5 Jun 2024 · 2 days after release

Released
3 Jun 2024
First featured
No. 52 · 5 Jun 2024
Published in
Not yet, as far as Semantic Scholar knows
Shares when featured
3
Identifier
SSRN 4852032

Citations and venue from Semantic Scholar (ODC-BY), refreshed weekly. Summary: Quant Letter (CC BY 4.0).

    Type to search. Try rough volatility, LLM agents or FinGPT.

    ↑↓ move↵ openesc closeFull search page