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Dr. Ben Collier, a professor at the University of Wisconsin-Madison, and his fellow researchers published a recent paper that uses twenty years of Florida data to trace a direct line from cat model revisions to the premiums homeowners actually pay. The finding? A one-dollar increase in modeled expected loss translates to roughly five dollars in higher premiums. That multiplier — and what's driving it — is what we're unpacking today.
In the episode we dive deep into the findings.
The paper: Pricing Climate Risk: Hurricane Models and Home Insurance Over the Last Two Decades
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In the episode we dive deep into the findings.
The paper: Pricing Climate Risk: Hurricane Models and Home Insurance Over the Last Two Decades
Subscribe to Risk Market News
Creators and Guests
What is Risky Science Podcast?
The Risky Science Podcast features conversations with scientists, insurers, investors, portfolio managers, and others about the evolving science of predicting and modeling risk across both natural and man-made perils.