For most insureds, the primary source of information for generating scenarios for pre-loss policy analysis is

For most insureds, the primary source of information for generating scenarios for pre-loss policy analysis is

• A. The DICE method.
• B. An analysis of common policy exclusions.
• C. Past loss experience.
• D. An analysis of common policy insuring agreements.

Answer: (C)

Generating realistic pre-loss scenarios relies on what has actually happened in the past. Past loss experience provides frequencies, severities, and patterns across different lines, perils, and time periods, which lets you build scenarios that reflect real exposure and potential cost. It also helps capture how losses unfold—reporting lags, settlement ranges, and tiering by claim size—so the scenarios are credible and useful for testing coverage, pricing, and controls. While analyzing policy exclusions or insuring agreements and using risk assessment frameworks can shape which scenarios matter and how the policy would respond, they don’t supply the primary data to construct those scenarios. Hence past loss experience is the best source for generating realistic pre-loss policy analysis scenarios.

Generating realistic pre-loss scenarios relies on what has actually happened in the past. Past loss experience provides frequencies, severities, and patterns across different lines, perils, and time periods, which lets you build scenarios that reflect real exposure and potential cost. It also helps capture how losses unfold—reporting lags, settlement ranges, and tiering by claim size—so the scenarios are credible and useful for testing coverage, pricing, and controls.

While analyzing policy exclusions or insuring agreements and using risk assessment frameworks can shape which scenarios matter and how the policy would respond, they don’t supply the primary data to construct those scenarios. Hence past loss experience is the best source for generating realistic pre-loss policy analysis scenarios.