RePEcML & AI Methods
Interpretable Machine Learning Recovery Rates
Machine learning methods offer better performance and insights in modeling corporate bond recovery rates than traditional methods.
Featured in No. 53 on 12 Jun 2024 · on release day
- Released
- 12 Jun 2024
- First featured
- No. 53 · 12 Jun 2024
- Published in
- Not yet, as far as Semantic Scholar knows
- Shares when featured
- 39
- Identifier
- RePEc:eee:jbfina:v:164:y:2024:i:c:s0378426624001043
Citations and venue from Semantic Scholar (ODC-BY), refreshed weekly. Summary: Quant Letter (CC BY 4.0).