This is a live argument
It is the current renewal cycle, the current capital cycle, the current supervisory window. The reinsurance market is already pricing it, and every figure below comes from a primary source.
The shape of insured losses no longer matches the shape the industry’s models assume. The industry’s own sources say so.
The other two-thirds are pricing more sharply and selecting better.
Paid by cedants with poor or inconsistent data quality. For a £200m reinsurance spend, the differential runs £6m to £16m a year.
Initial estimate USD 2.2bn; final near USD 6bn. Swiss Re named the cause: exposure data not shared at the granularity required.
Only 40 per cent of North American wildfire insured loss growth is explained by exposure growth. Historical models do not capture the rest.
A scenario sharp at the desk is sharp in the model. A wider tail lifts the SCR; more capital for the same result is a lower return; a weaker return shapes what the provider allocates. Data quality is a traded signal.
Same capital posture, two readings: discipline rewarded, or imposition absorbed. The difference is whether the firm has built the architecture to explain its own numbers.
Sources: Lloyd's, Climate Risk Capital Modelling: Market Trends, July 2025 · Supercede, industry whitepaper on cedant data quality and reinsurance pricing, 2023 · Swiss Re Institute, sigma 1/2026 and commentary on the 2023 Italy hail loss development, 2024 · CRESTA, Italy hailstorms estimate, July 2023 · Aon, 2026 Climate and Catastrophe Insight · Munich Re and Howden Re, January 2026 · PRA Supervisory Statement 5/25, 3 December 2025. The full list of primary sources is in the position statement.