
The episode explores how hurricane risk is priced in home insurance through a discussion with Dr. Ben Collier about his research findings.
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 Subscribe to Risk Market News
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