Which of the following best describes the primary use of PMM in underwriting?

• A. It predicts the exact losses for each policyholder.
• B. PMM estimates the worst-case loss probability to help set reserves and determine appropriate premiums.
• C. PMM sets underwriting guidelines independent of data.
• D. PMM calculates commission to agents.

Answer: (B)

In underwriting, the primary purpose of PMM is to quantify tail risk by estimating the probability of worst‑case losses so reserves can be set and premiums determined to cover those potential outcomes. This approach focuses on the likelihood and magnitude of extreme losses, which guides how much capital to hold and what risk load to add to premiums. It reflects the reality that we can’t predict exact losses for every policyholder, but we can model the chance of very large losses and price accordingly. PMM isn’t about setting guidelines independent of data or about calculating commission—these are separate functions. By focusing on the probability of severe loss and using that to inform reserves and premiums, PMM provides a prudent, data‑informed basis for pricing and financial soundness.