Which factor should the actuary consider when there is insufficient historical data?

Prepare for the CAS Exam 6 with detailed study materials. Use flashcards and multiple-choice questions, each with hints and explanations, to get exam-ready!

Multiple Choice

Which factor should the actuary consider when there is insufficient historical data?

Explanation:
When data is sparse, the most important thing to check is whether the available information is enough to support a credible reserve estimate. If there isn’t adequate data to evaluate the reserves, any estimate becomes unreliable, regardless of other considerations. That’s why the primary factor is data adequacy. If you do have enough data to proceed, you can explore supplementary approaches (like using external industry data) and clearly disclose limitations and uncertainties as needed. Disclosures about the data or about the resulting variability matter, but they don’t resolve the fundamental issue: without sufficient data, you can’t reliably estimate reserves.

When data is sparse, the most important thing to check is whether the available information is enough to support a credible reserve estimate. If there isn’t adequate data to evaluate the reserves, any estimate becomes unreliable, regardless of other considerations. That’s why the primary factor is data adequacy.

If you do have enough data to proceed, you can explore supplementary approaches (like using external industry data) and clearly disclose limitations and uncertainties as needed. Disclosures about the data or about the resulting variability matter, but they don’t resolve the fundamental issue: without sufficient data, you can’t reliably estimate reserves.

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