Are Climate-Conditioned Cat Models Solving the Right Problem?
Also, Texas targets model trail in wildfire lawsuit.
Conversations with the leading thinkers about measuring risk, including researchers, modelers, investors and insurers.
Also, Texas targets model trail in wildfire lawsuit.
📌 Reminder: The Risky Science Podcast Live starts next month. The first session is Cyber Risk in 2026: Modeling, Market Dynamics
Also, investors double down on private credit scrutiny and a new law looks to crack catastrophe model data.
Also: BoE proposes FundedRe framework, flood insurance is a political football... again.
Why uncertainty defines catastrophic risk, how climate change, pandemics, and AI intersect, and why markets alone cannot address these perils.
Once just for betting on NBA games, prediction markets want to make parametric triggers cool again.
Models will need to “play catch up” on perils most affected by warming trends, such as severe convective storms, Schmelzer says.
Karen Clark explains how real-time data validation and climate-conditioned risk assessment are transforming investor confidence in secondary perils as the reinsurance industry heads into its annual pricing cycle.
Fermat Capital’s John Seo reflects on how the storm validated catastrophe models, transformed the cat bond market, and laid the groundwork for today’s cyber risk transfer.
California needs to learn the successes, and failures, of other states when addressing its growing wildfire crisis.
Secondary perils are becoming a first order risk.
The next (and inevitable) Cascadia megaquake could instantly drop entire coastlines by meters, pushing ports, homes, and hospitals into the floodplain for generations.