The catastrophe-bond market has never been larger, and its returns have rarely looked better. But the risk underneath those returns is getting harder to model — and that is exactly where an independent, forward-looking, resilience-adjusted view becomes an edge for ILS investors.
A record market built on a moving target
Insurance-linked securities have had a remarkable run. The catastrophe-bond market closed 2025 at a record $61.3 bn outstanding, after a record $25.6 bn of new issuance — the first year ever above $20 bn, up 45% on 2024, and the first to clear 100 separate transactions in a single year. The appeal to investors is structural: cat-bond returns depend on whether hurricanes, quakes, floods and wildfires occur, not on what equity or credit markets do, and many ILS strategies have now delivered three consecutive years of double-digit returns.
That uncorrelated quality is the whole point of the asset class. But it rests on an assumption worth examining — that the peril itself can be reliably priced. And the peril is moving.
The models look backwards. The risk is moving forwards.
Catastrophe pricing leans on vendor models calibrated largely on the historical loss record. But the past may be a poor guide to the future. Climate change is steadily pulling the present away from that record, shifting the frequency, intensity and footprint of the hazards these instruments are written against. The clearest evidence is in the so-called secondary perils. Losses in recent years have increasingly come not from headline hurricanes but from severe convective storms, wildfire and hail — perils long treated as modelling afterthoughts. Market analysts now note that US hail alone can rival a major hurricane in insured-loss potential.
The early-2025 California wildfires and the January 2026 Victoria bushfires are recent reminders that loss is arriving through channels models historically underweighted. Cat bonds absorbed the California event with manageable losses, but the lesson for investors is not about any single year. It is that the distribution they are being paid to hold is drifting, and the tools most of the market relies on are slow to reflect it.
There is a second, structural reason this matters now. As issuance has boomed, sponsors have pushed into new perils and new geographies — Australia, New Zealand, Canada, the Caribbean, European windstorm and hail — where model coverage and historical data are thinner than for US wind. And the growth of parametric and trigger-based structures makes the exposure explicit: when Hurricane Melissa struck Jamaica in October 2025 as a Category 5, it was expected to fully trigger the country’s World Bank–arranged parametric cat bond, a total principal loss for bondholders. Basis risk — the gap between the trigger and the real economic loss — is only as sound as the hazard view behind it.
Three points in the ILS workflow where a climate view changes the decision
This is the gap AlphaGeo’s analytics are built to close: an independent, forward-looking, asset-level view of physical climate risk and resilience – spanning selection, monitoring and financial impact.
Risk selection — Climate Risk and Resilience Index and the Global Adaptation Layer
Most physical-risk data measures hazard. AlphaGeo’s Climate Risk & Resilience Index measures hazard and then adjusts it for whether a location is actually adapted, using our Global Adaptation Layer — the first commercially available global database of hazard-specific adaptation capacity, resolved to the asset level. Scored across IPCC scenarios and time horizons out to 2100, it gives ILS investors a forward-looking second opinion to sit alongside vendor cat models: a way to separate exposures that look identical on paper but are differently protected on the ground, and to see where modelled risk may over- or under-state the real thing.
Live monitoring — Hazard Alert
Traditional models tell you what a location’s risk looks like over decades; they do not tell you a storm is bearing down this week. Hazard Alert closes that gap, drawing on government and scientific hazard feeds to flag active and forecast events — up to seven days ahead — matched to the specific assets and regions in a book. For an ILS portfolio, that means live-cat tracking, an earlier read on which positions and triggers are exposed, and faster, better-informed decisions while an event is still developing.
Financial impact — Climate Price
Many ILS investors — particularly the multi-strategy funds active in the space — also run climate-exposed corporate credit and equity. Climate Price extends the same physical-risk lens to those books, translating hazard into issuer-level EBITDA-at-Risk through six transmission channels, including climate-driven insurance-cost inflation, with full attribution back to individual facility and hazard. It connects the catastrophe view to the corporate exposures sitting elsewhere in the same fund.
Why it matters now
The market is softening from its 2023 peak even as it grows, which puts a premium on selection: when spreads compress, the edge comes from knowing which risks are genuinely mispriced rather than simply cheap. A forward-looking, resilience-adjusted, asset-level view of physical climate risk is precisely the analysis that supports that judgement — at the point of selection, through the life of an event, and across the adjacent exposures a fund already holds.
Uncorrelated does not mean unpredictable. The investors who price the peril most clearly will be the ones who stop treating the historical record as the last word on it.
