Actuarium

SOA FAMFundamentals of Actuarial Mathematics

Associateship (ASA)
3.5 hours (1.75h per half if split)·34 multiple-choice (17 + 17)·350 study hours

Syllabus learning objectives

Official syllabus

Paraphrased from the SOA syllabus so the study-plan builder and practice sets track the topics you will actually be examined on. Weights are the official topic ranges.

FAM-S: Insurance & reinsurance coverages

4%
  • Describe common short-term insurance and reinsurance contract types, including quota-share, surplus-share, excess-of-loss and facultative arrangements.
  • Apply policy limits, deductibles, coinsurance and coverage modifications to loss payments for a single claim.
  • Determine insurer vs. reinsurer retained losses under proportional and non-proportional treaties.
  • Identify the effect of policy provisions (aggregate limits, per-occurrence limits) on ceded and retained loss distributions.

FAM-S: Severity, frequency & aggregate models

20%
  • Compute moments, percentiles and limited expected values for common severity distributions (Pareto, gamma, lognormal, Weibull, exponential).
  • Apply deductibles, limits, coinsurance and inflation to severity distributions and derive the resulting payment-per-loss and payment-per-payment distributions.
  • Compute the distribution, mean and variance of aggregate claims via the compound (Poisson, negative binomial, binomial) frequency-severity model.
  • Use the recursive (Panjer) method and moment-based approximations (normal, lognormal, translated gamma) to approximate aggregate loss distributions.
  • Adjust frequency distributions for exposure changes and coverage modifications (deductibles affecting claim counts).

FAM-S: Parametric estimation

9%
  • Fit parametric loss models by the method of moments and maximum likelihood, including for grouped, censored and truncated data.
  • Construct and interpret the likelihood function for data subject to policy limits and deductibles.
  • Apply the delta method and observed/expected Fisher information to estimate variances of MLE parameter estimates.
  • Use graphical and hypothesis-based goodness-of-fit tools (Q-Q plots, chi-square, Kolmogorov-Smirnov) to select among competing models.

FAM-S: Introductory credibility

4%
  • Apply limited fluctuation (classical) credibility to determine the standard for full credibility and partial credibility factors.
  • Compute Bühlmann and Bühlmann-Straub credibility premiums from expected value of process variance and variance of hypothetical means.
  • Estimate credibility parameters (k, Z) from sample data using nonparametric and semiparametric methods.
  • Interpret credibility-weighted estimates as a blend between individual experience and a manual/collective rate.

FAM-S: Pricing & reserving for short-term insurance

7%
  • Adjust historical premium to current rate level and trend losses to the future policy period.
  • Estimate ultimate losses using the chain-ladder, Bornhuetter-Ferguson and expected-loss-ratio reserving methods.
  • Calculate the indicated overall rate change combining loss ratio and pure premium approaches.
  • Evaluate the impact of reinsurance and loss development assumptions on indicated reserves and rates.

FAM-S: Option pricing fundamentals

6%
  • Price European put and call options using put-call parity and the binomial lattice model.
  • Apply risk-neutral valuation and the Black-Scholes formula to value simple derivatives.
  • Describe how embedded options in insurance products (guarantees, caps, floors) can be decomposed into vanilla option positions.
  • Compute the delta of an option position and construct a simple replicating/hedging portfolio.

FAM-L: Long-term insurance coverages

5%
  • Describe the benefit structure of whole life, term, endowment, and deferred insurance and annuity contracts.
  • Translate verbal descriptions of long-term coverage provisions into actuarial present value expressions.
  • Distinguish level, increasing and decreasing benefit patterns and their effect on reserves and premiums.
  • Identify how riders (e.g., waiver of premium, accidental death) modify the basic contract's cash flows.

FAM-L: Survival models

12%
  • Define the survival function, force of mortality, and curtate/complete expectation of life, and relate them algebraically.
  • Compute probabilities and moments of time-to-death and time-to-failure under standard parametric mortality laws (constant force, De Moivre, Gompertz, Makeham) and life tables.
  • Apply select-and-ultimate mortality tables and fractional-age assumptions (uniform distribution of deaths, constant force) to interpolate probabilities.
  • Compute probabilities for multiple lives (joint life, last survivor) under independence assumptions.

FAM-L: Present value random variables

10%
  • Derive the distribution and moments of the present value random variable for insurances and annuities payable continuously, annually or mthly.
  • Apply the relationships between insurance and annuity APVs (e.g., $A=1-d\ddot a$) to simplify calculations.
  • Compute actuarial present values under a fully discrete, fully continuous, or semicontinuous model.
  • Use recursive relationships to compute actuarial present values for benefits deferred or paid at the end/beginning of the year of death.

FAM-L: Premium calculation

10%
  • Apply the equivalence principle to determine net premiums for insurances and annuities under various benefit and premium timing patterns.
  • Incorporate expenses (percent of premium, per-policy, per-unit) to compute gross premiums.
  • Compute the variance of loss-at-issue random variables for premium-paying contracts.
  • Apply premium refund/return-of-premium and percentile premium principles to alternative premium calculations.

FAM-L: Reserves (policy values)

10%
  • Compute prospective and retrospective policy values (reserves) for standard insurance and annuity contracts.
  • Apply the recursive reserve relationship to project reserves forward one year and decompose gains by source.
  • Compute Fackler's accumulation formula and full/modified preliminary term reserves.
  • Interpret the relationship between reserves, premiums and expected mortality/interest gains.

FAM-L: Interest-rate risk & pension intro

3%
  • Describe key duration and convexity measures and apply them to assess a portfolio's exposure to interest-rate movements.
  • Apply immunization (Redington and full immunization) techniques to match asset and liability cash flows.
  • Describe the basic structure of defined-benefit and defined-contribution pension plans and their funding objectives.
  • Compute simple pension actuarial liabilities under a career-average or final-salary benefit formula.

Lecture videos for this exam

Open the full video library →

[MATH 5639 Actuarial Loss Models] Lecture 1: Probability Exercise 1

Bin Z · Loss Models

[MATH 5639 Actuarial Loss Models] Lecture 17: Ch2.5 Deductible

Bin Z · Loss Models

[MATH 5639 Actuarial Loss Models] Lecture 21: Ch3 Individual Risk Model

Bin Z · Loss Models

Introduction to Contingencies- Lecture 1

H&J Online Academy · Life Contingencies

The Life Table (Contingencies: Actuarial Mathematics)

inTuition · Life Contingencies

Life Assurance Contracts Part I (Contingencies: Actuarial Mathematics)

inTuition · Life Contingencies

Whole Life and Temporary Annuities

Mike, the Mathematician · Life Contingencies

Overview

FAM merges the old LTAM and STAM cores. FAM-L covers survival models, insurance and annuity present values, premiums and policy values; FAM-S covers loss models, coverage modifications, estimation, credibility and short-term pricing/reserving. Candidates may sit the two halves separately.

Duration
3.5 hours (1.75h per half if split)
Questions
34 multiple-choice (17 + 17)
Style
Computer-based
Passing
Scaled 6 of 10

Syllabus map

FAM-S: Insurance & reinsurance coverages
4%
FAM-S: Severity, frequency & aggregate models
20%
FAM-S: Parametric estimation
9%
FAM-S: Option pricing fundamentals
6%
FAM-L: Long-term insurance coverages
5%
FAM-L: Survival models
12%
FAM-L: Present value random variables
10%
FAM-L: Premium calculation
10%
FAM-L: Reserves (policy values)
10%
FAM-L: Interest-rate risk & pension intro
3%

Key formulas

Constant force of mortality   tpx=eμt\;{}_tp_x=e^{-\mu t}, Aˉx=μμ+δ\bar A_x=\dfrac{\mu}{\mu+\delta}, aˉx=1μ+δ\bar a_x=\dfrac{1}{\mu+\delta}

Equivalence-principle net premium (whole life, annual):   P=Axa¨x=1a¨xd\;P=\dfrac{A_x}{\ddot a_x}=\dfrac{1}{\ddot a_x}-d

Policy value recursion   (tV+P)(1+i)=qx+tbt+1+px+tt+1V\;({}_tV+P)(1+i)=q_{x+t}\,b_{t+1}+p_{x+t}\,{}_{t+1}V

Compound Poisson aggregate   E[S]=λE[X]\;E[S]=\lambda E[X], Var(S)=λE[X2]\operatorname{Var}(S)=\lambda E[X^2]

Limited expected value, Pareto(α,θ\alpha,\theta):   E[Xu]=θα1[1(θu+θ)α1]\;E[X\wedge u]=\dfrac{\theta}{\alpha-1}\left[1-\left(\dfrac{\theta}{u+\theta}\right)^{\alpha-1}\right]

Bühlmann   Z=nn+EPV/VHM\;Z=\dfrac{n}{n+EPV/VHM}

Study strategy

  1. Learn the FAM tables (Standard Ultimate Life Table, loss-distribution formula sheet) inside out — you get them on the exam, so speed of lookup is the edge.

  2. For FAM-L, derive every insurance/annuity relationship from first principles once, then rely on the A=1da¨A=1-d\ddot a identities.

  3. For FAM-S, memorize the coverage-modification recipe: deductible, limit, coinsurance, inflation, in that order.

  4. Do mixed timed sets; the two halves reward different rhythms.

Common traps

  • Confusing continuous (Aˉ\bar A), discrete (AA) and mthly (A(m)A^{(m)}) benefit timing.

  • Applying the deductible after the policy limit in a per-loss calculation.

  • Using Var(S)=λVar(X)\operatorname{Var}(S)=\lambda\operatorname{Var}(X) instead of λE[X2]\lambda E[X^2] for compound Poisson.

  • Forgetting that per-payment quantities condition on the loss exceeding the deductible.

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