SOA FAMFundamentals of Actuarial Mathematics
Syllabus learning objectives
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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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)
- 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
- 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
Key formulas
Constant force of mortality , ,
Equivalence-principle net premium (whole life, annual):
Policy value recursion
Compound Poisson aggregate ,
Limited expected value, Pareto():
Bühlmann
Study strategy
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.
For FAM-L, derive every insurance/annuity relationship from first principles once, then rely on the identities.
For FAM-S, memorize the coverage-modification recipe: deductible, limit, coinsurance, inflation, in that order.
Do mixed timed sets; the two halves reward different rhythms.
Common traps
Confusing continuous (), discrete () and mthly () benefit timing.
Applying the deductible after the policy limit in a per-loss calculation.
Using instead of for compound Poisson.
Forgetting that per-payment quantities condition on the loss exceeding the deductible.