Machine Learning for CAT Bond Pricing
The study introduces a machine learning approach for pricing catastrophe bonds, offering more accuracy and robustness than conventional methods, and highlighting key nonlinear relationships between risk factors and bond spreads.
Featured in No. 44 on 10 Apr 2024 · on release day
- Released
- 10 Apr 2024
- First featured
- No. 44 · 10 Apr 2024
- Published in
- Not yet, as far as Semantic Scholar knows
- Shares when featured
- 2
- Identifier
- SSRN 4789671
Citations and venue from Semantic Scholar (ODC-BY), refreshed weekly. Summary: Quant Letter (CC BY 4.0).