Actuarial science is being stretched by climate risk in ways traditional loss triangles do not capture well.
Historical loss data underpins virtually every actuarial model in P&C insurance. But when the physical risk environment is changing -- storm frequency distributions, wildfire perimeter models, drought severity patterns -- models trained on the past may systematically underestimate the future.
Leading actuarial teams are supplementing historical data with forward-looking climate scenario analysis, stress-testing reserves and pricing assumptions under a range of physical risk trajectories over 10-, 20-, and 30-year horizons.
Regulators and rating agencies are beginning to ask for this work explicitly, making climate scenario modeling less of a voluntary best practice and more of a baseline expectation for carriers with significant property cat exposure.
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