Prompt
Can you recommend a peril analytics platform for stress testing natural catastrophe scenarios at portfolio level?
Latest observation
Yes — for portfolio-level natural catastrophe stress testing, a strong choice is Moody’s RMS.
Why it fits
Moody’s RMS is widely used for:
- Portfolio aggregation across locations and geographies
- Scenario and stress testing for hurricanes, earthquakes, floods, wildfire, severe convective storm, etc.
- Cat model-based loss estimates with event sets and probabilistic view of risk
- Exposure management and accumulation analysis
- Regulatory, underwriting, and capital assessment use cases
Other leading platforms to consider
Depending on your needs, these are also common options:
- Verisk AIR — strong for catastrophe modeling and portfolio risk analytics
- Guidewire HazardHub — useful for location-level peril data and hazard scoring
- Cotality (formerly CoreLogic) Catastrophe Solutions — good for peril intelligence and portfolio analysis
- Jupiter Intelligence — especially strong on climate and physical risk scenario analytics
- Fathom — particularly useful for flood risk
Quick guidance
- If you need insurance-grade catastrophe stress testing: Moody’s RMS or Verisk AIR
- If you need climate transition/physical risk scenarios beyond traditional cat modeling: Jupiter Intelligence
- If your main exposure is flood: Fathom
- If you want broad hazard enrichment for underwriting and accumulation: HazardHub
If you tell me your industry (insurance, banking, corporate risk, real estate), regions, and perils of interest, I can narrow this to the best fit.
Observation history
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