Machine Learning in Credit Scoring
A study reveals that machine learning models using unconventional data are more efficient in predicting credit losses and defaults, particularly during economic crises.
Featured in No. 60 on 7 Aug 2024 · on release day
- Released
- 7 Aug 2024
- First featured
- No. 60 · 7 Aug 2024
- Published in
- Not yet, as far as Semantic Scholar knows
- Shares when featured
- 30
- Identifier
- RePEc:eee:finsta:v:73:y:2024:i:c:s157230892400069x
Citations and venue from Semantic Scholar (ODC-BY), refreshed weekly. Summary: Quant Letter (CC BY 4.0).