Exam FAM – Fundamentals of Actuarial Mathematics

14 sections available · 51 chapters available

Free Exam FAM – Fundamentals of Actuarial Mathematics study notes for SOA (Society of Actuaries) students. Each chapter breaks down a key concept with examples and practice prompts you can turn into AI drills in the thinka app.

Short-Term Insurance and Reinsurance Coverages

  • Types of coverage modifications for short-term insurance

  • Calculating the impact of coverage modifications

  • Loss elimination ratio and the effect of inflation on losses

  • Proportional and excess of loss reinsurance

  • Allocation of claim amounts between insurer and reinsurer

Severity and Frequency Models

  • Severity model moments and percentiles

  • Scale and shape parameters in continuous severity models

  • Classes of severity distributions and their relationships

  • Characterizing distributions by existence of moments

  • Parameters of the (a,b,0) and (a,b,1) frequency classes

  • Recognizing the (a,b,0) and (a,b,1) classes and their relationships

  • Calculations for the (a,b,0) and (a,b,1) classes

  • Selecting appropriate frequency distributions

Severity, Frequency, and Aggregate Models

    Aggregate Models and Risk Measures

    • Collective and individual risk models

    • Normal and log-normal approximation of aggregate losses

    • Convolution method and stop-loss insurance expected payment

    • Value at Risk, Tail Value at Risk, and risk measure properties

    Parametric Estimation

      Parametric Estimation and Credibility

      • Maximum likelihood estimation for severity and frequency distributions

      • MLE with complete, individual data

      • MLE with complete, grouped data

      • MLE with truncated or censored data

      • The concept of credibility

      • Limited fluctuation (classical) credibility

      Introduction to Credibility

        Pricing and Reserving for Short-Term Insurance Coverages

        • Estimating outstanding claims: Expected Loss Ratio, Chain-Ladder, and Bornhuetter-Ferguson

        • Objectives of ratemaking and ratemaking data

        • Adjustments to ratemaking data: development, trend, and premium on-leveling

        • Expenses and the profit and contingencies loading in ratemaking

        • Overall average rates and rate changes: loss cost and loss ratio methods

        Option Pricing Fundamentals

        • Cash flows and characteristics of puts and calls

        • The binomial option pricing model

        • The Black-Scholes formula and delta hedging

        • Put-call parity

        Long-Term Coverages, Retirement Programs and Mortality Models

        • Insurable interest and long-term life and health coverages

        • Annuities

        • Defined benefit and defined contribution pension plans

        • Parametric survival models and life tables

        • Survival and mortality probabilities from a parametric survival model

        • Standard actuarial notation for future lifetime distributions

        • Survival and mortality probabilities from a life table with fractional age assumptions

        • Select life tables

        Long-Term Insurance Coverages and Retirement Financial Security Programs

        • Long-term life and health insurance coverages

        Mortality Models

          Present Value Random Variables for Long-Term Insurance Coverages

          • Present value random variables for life insurance, endowment, and annuities

          • Probabilities, means, variances, and covariances of the present value random variables

          • Relationships between insurance, endowment, and annuity present value random variables

          • Effect of changes in mortality and interest assumptions

          • Standard actuarial notation for expected values

          Premium and Policy Value Calculation for Long-Term Insurance Coverages

          • Future loss random variables for life insurance and annuities

          • Premiums by the equivalence principle, portfolio percentile principle, and expected present value of profit

          • Gross, net, and modified net premium policy values

          • Effect of changes in mortality and interest assumptions

          • Modelling extra risk: age rating and adjustments to mortality

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