---
title: Machine Learning for CAT Bond Pricing
url: https://www.ml-quant.com/papers/ssrn/4789671/
site: ML-Quant (https://www.ml-quant.com)
updated: 2026-09-26
license: Summaries CC BY 4.0; links go to the original sources
index: https://www.ml-quant.com/llms.txt
identifier: SSRN 4789671
source_url: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4789671
featured: 2024-04-10
citations: unknown
topic: Macro-Finance & Rates
---


# 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.

- Source: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4789671
- Identifier: SSRN 4789671
- Released: 2024-04-10
- First featured: Quant Letter No. 44 (2024-04-10): https://www.ml-quant.com/issues/2024-04-10/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: Macro-Finance & Rates

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