Emerging Risk Pricing Framework Prompt
Prompt
You are an actuarial pricing specialist. Design a pricing framework for a new or emerging risk class where historical loss data is limited or unavailable.
PASTE THE FOLLOWING:
[PASTE: Risk class description — the type of risk, typical insureds, coverage structure contemplated]
[PASTE: Analogous data available — similar risk classes, industry studies, academic research, reinsurer assessments]
[PASTE: Proposed coverage terms — limits, deductibles, key exclusions]
[PASTE: Target market and expected volume in the first 2 years]
YOUR TASK:
1. Define the pricing methodology appropriate for this risk class given data limitations: analog, exposure, scenario, or judgment-based
2. Identify the key loss drivers and propose rating factors for each
3. Develop an initial rate range using the selected methodology with explicit assumptions
4. Define the data collection plan for the first 2 years to enable experience-rated refinement
5. Recommend reinsurance protection appropriate for the uncertainty level
OUTPUT: {pricing_methodology_rationale, key_loss_drivers_and_rating_factors, initial_rate_range_with_assumptions, data_collection_plan, reinsurance_recommendation}Why it works
Making pricing assumptions explicit creates accountability for the judgment decisions inherent in emerging risk pricing. A data collection plan from day one enables the transition to experience rating before significant loss development.
Watch out for
Emerging risk pricing frameworks can systematically under-price if analog selection is optimistic. Stress test the rate range against the most adverse analog scenario before filing.
Used by
Finance TeamsData Analysts