Exam FAM · Premium and Policy Value Calculation for Long-Term Insurance Coverages · Free Lesson

Premium Calculation Principles

Free SOA Exam FAM (Fundamentals of Actuarial Mathematics) lesson in Premium and Policy Value Calculation for Long-Term Insurance Coverages. 17 min read, ~2,480 words.

Problem Preview: A 15-year endowment of 50,000 on (40), with expenses of 60% first-year premium, 8% renewal premium, $100/year per policy. A40:15∣‾=0.42 A_{40:\overline{15\vert}} = 0.42 , d=0.04 d = 0.04 . The net premium is $1,448. But the gross premium is $1,751, and half the candidates forget the (1−c) (1-c) factor in the denominator.

HIGH-FREQUENCY: The equivalence principle formula P=A/a¨ P = A/\ddot{a} is the single most-tested premium calculation on FAM.

Set E[L0]=0 E[L_0] = 0 :

Px=Axa¨x=1a¨x−dP_x = \frac{A_x}{\ddot{a}_x} = \frac{1}{\ddot{a}_x} - d

This condition balances expected premium income and expected benefits. It does not minimize the variance of the loss.

KEY: The equivalence principle premium P=A/a¨ P = A/\ddot{a} is the most tested formula in Topic 10. The alternative form P=1/a¨−d P = 1/\ddot{a} - d is often faster when A A is not given directly.

For n n -year term: Px:n∣‾1=Ax:n∣‾1/a¨x:n∣‾ P^{1}_{x:\overline{n\vert}} = A^{1}_{x:\overline{n\vert}}/\ddot{a}_{x:\overline{n\vert}} . For endowment: Px:n∣‾=Ax:n∣‾/a¨x:n∣‾=1/a¨x:n∣‾−d P_{x:\overline{n\vert}} = A_{x:\overline{n\vert}}/\ddot{a}_{x:\overline{n\vert}} = 1/\ddot{a}_{x:\overline{n\vert}} - d .

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Exam shortcut

For gross premium problems, set up three columns: benefit EPV, expense EPV (by type), premium income EPV. Write G⋅a¨=benefit+expenses G \cdot \ddot{a} = \text{benefit} + \text{expenses} and collect all G G terms on the left before solving. For portfolio percentile, compute the equivalence premium first, then add loading, your answer must exceed the equivalence premium. "A over a-double-dot", the fundamental premium formula.

The full lesson (about 2,480 words, 17 min read) adds 4 worked examples, all 5 common mistakes, a self-check, free in the app.

Learning objectives

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