Exam FAM · Present Value Random Variables for Long-Term Insurance Coverages · Free Lesson

Present Value Random Variables for Life Insurance, Endowment, and Annuity Payments

Free SOA Exam FAM (Fundamentals of Actuarial Mathematics) lesson in Present Value Random Variables for Long-Term Insurance Coverages. 15 min read, ~2,275 words.

Problem Preview: An insurer issues a whole life policy to a 40-year-old. If she dies at 41, Z=v1=0.952 Z = v^1 = 0.952 . If at 95, Z=v55=0.067 Z = v^{55} = 0.067 . The present value of the benefit is not a number, it is a random variable. Every pricing formula starts here.

HIGH-FREQUENCY: Every PV random variable on FAM is a function of either Tx T_x (continuous) or Kx K_x (annual). Knowing which drives which contract type is the first step.

Fix discount factor v=1/(1+i)=e−δ v = 1/(1+i) = e^{-\delta} . For a life aged x x : Tx T_x = continuous future lifetime, Kx=⌊Tx⌋ K_x = \lfloor T_x \rfloor = curtate future lifetime.

KEY: Tx T_x drives continuous contracts. Kx K_x drives annual contracts. Mismatching the lifetime variable to the contract type is the most common source of errors.

Continuous: Z=vTx Z = v^{T_x} . Annual: Z=vKx+1 Z = v^{K_x+1} . The "+1" appears because the benefit is paid at the end of the year of death, time Kx+1 K_x+1 .

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When you see a contract description, identify three things: (1) benefit at moment of death, end of year, or m m -thly? This sets Tx T_x , Kx K_x , or Kx(m) K_x^{(m)} . (2) Term limit or whole life? (3) Insurance or annuity? Once classified, the PV random variable writes itself. "TKM: T = continuous, K = annual, M = m-thly." "Endowment = Term + Pure." "Z to Y: divide out the d."

The full lesson (about 2,275 words, 15 min read) adds 4 worked examples, all 5 common mistakes, a self-check, free in the app.

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