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Source document. This page reproduces the syllabus this course was written to, as published — its semesters, credits and paper numbers are that document’s, not this site’s. The course itself is studied on its own, in any order.

Course Information

TitleActuarial Statistics
Theory Credits3 (3 hrs/week)
Practical Credits1 (2 hrs/week)

Course Outcomes

  1. Define insurance and identify its applications.
  2. Be aware of the principles of premium calculation.
  3. Understand survival distributions and life tables.
  4. Build foundations needed for the life-insurance industry.
  5. Effectively understand insurance annuities and premium plans.

Theory — Five Units

Unit 1: Introductory Statistics & Insurance Applications

Discrete, continuous and mixed probability distributions. Insurance applications, sum of random variables. Utility theory: utility functions, expected-utility criterion, types of utility function, insurance and utility theory.

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Unit 2: Principles of Premium Calculation

Properties of premium principles and examples (Net, Expected-value, Variance, SD, Exponential, Percentile, Esscher). Individual risk models — models for individual claims, sum of independent claims, approximations and their applications.

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Unit 3: Survival Distribution & Life Tables

Uncertainty of age at death, survival function, time-until-death for a person, curate future lifetime, force of mortality, life tables with examples, deterministic survivorship group, life-table characteristics, assumptions for fractional age, analytical laws of mortality (De Moivre, Gompertz, Makeham, Weibull).

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Unit 4: Life Insurance

Models for insurance payable at the moment of death and at the end of the year of death; whole-life, term, pure endowment, endowment and deferred insurance; varying benefits; relationships between continuous and discrete forms; net single premium.

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Unit 5: Life Annuities & Premiums

Continuous life annuities; discrete life annuities (annuity-due, annuity-immediate); annuities with periodic m-thly payments; insurance-annuity identities; continuous and discrete premiums via the equivalence principle; gross premiums.

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Practical — List of Experiments (8)

  1. Risk computation for different utility models.
  2. Discrete and continuous risk calculations.
  3. Calculation of aggregate claims for collective risks.
  4. Calculation of aggregate claim for individual risks.
  5. Computing ruin probabilities and aggregate losses.
  6. Annuity and present value of contract.
  7. Computing premium for different insurance schemes.
  8. Practical based on life models and tables.

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Text Books / References

  1. C. M. D. Dickson (2005) — Insurance Risk and Ruin (International Series on Actuarial Science).
  2. Bowers, Gerber, Hickman, Jones & Nesbitt (1997) — Actuarial Mathematics, Society of Actuaries, Itasca, Illinois.
  3. S. R. Deshmukh (2009) — Actuarial Statistics: An Introduction Using R.
  4. Harriett E. J. & Dani L. L. (1999) — Principles of Insurance: Life, Health, and Annuities, 2nd ed., LOMA.
  5. Alistair Neill (1977) — Life Contingencies, The Institute of Actuaries.

Suggested Co-Curricular Activities

  1. Training of students by related industrial experts (actuaries, insurance professionals).
  2. Assignments including technical assignments, if any.
  3. Seminars, group discussions, quizzes, debates on related topics.
  4. Preparation of audio and videos on tools of representation.
  5. Collection of material / figures / photos of related topics.
  6. Invited lectures and presentations of stalwarts on those topics.
  7. Visits / field trips to insurance companies and research organisations.
UnitTopicApprox. Weightage
1Insurance Applications & Utility Theory20 %
2Premium Principles & Individual Risk20 %
3Survival Distributions & Life Tables20 %
4Life Insurance20 %
5Life Annuities & Premiums20 %

Quick Reference — Standard Actuarial Notation

SymbolMeaning
\(s(x)\)Survival function: \(P(X > x)\)
\(\mu(x)\)Force of mortality at age \(x\)
\(l_x\)Number alive at age \(x\) in the life table
\(d_x = l_x - l_{x+1}\)Number dying between ages \(x\) and \(x+1\)
\(p_x, q_x\)Survival / death probability for one year from age \(x\)
\({}_tp_x, {}_tq_x\)t-year survival / death probability
\(T(x)\)Future lifetime (continuous) of (\(x\))
\(K(x) = \lfloor T(x) \rfloor\)Curate (integer) future lifetime
\(e_x = E(K(x))\)Curate expectation of life
\(\bar e_x = E(T(x))\)Complete expectation of life
\(i, \delta\)Effective annual / force of interest
\(v = (1+i)^{-1}, d\)Discount factor / effective discount rate
\(\bar A_x, A_x\)APV of whole-life insurance (continuous / discrete)
\(\bar A^{\,1}_{x:\overline{n}|}\), \(A^{\,1}_{x:\overline{n}|}\)APV of n-year term insurance
\({}_nE_x = v^n\, {}_np_x\)APV of n-year pure endowment
\(\bar A_{x:\overline{n}|}, A_{x:\overline{n}|}\)APV of n-year endowment
\(\bar a_x, \ddot a_x, a_x\)Whole-life annuity (continuous / annuity-due / annuity-immediate)
\(\bar a_{x:\overline{n}|}, \ddot a_{x:\overline{n}|}\)n-year temporary annuity
\(\ddot a_x^{(m)}\)m-thly whole-life annuity-due
\(P_x = A_x / \ddot a_x\)Net annual premium for whole-life

Key Identities to Remember

IdentityNotes
\(s(x) = \exp\bigl(-\int_0^x \mu(t) dt\bigr)\)Survival from force of mortality
\(_tp_x = s(x+t)/s(x) = l_{x+t}/l_x\)From survival function or life table
\(\bar A_x = E(v^T),\;\; A_x = E(v^{K+1})\)Whole-life APVs
\(\bar A_x + \delta\, \bar a_x = 1\)Continuous identity
\(A_x + d\, \ddot a_x = 1\)Discrete identity
\(\bar A_x = (i/\delta) A_x\) (UDD)Continuous-discrete conversion
Constant force: \(\bar A_x = \mu/(\mu+\delta);\; \bar a_x = 1/(\mu+\delta)\)Exponential lifetimes
\(E(S) = E(N) E(X);\; \text{Var}(S) = E(N)\text{Var}(X) + \text{Var}(N) [E(X)]^2\)Compound model
Equivalence: \(P \cdot \ddot a_x = A_x\)Net premium formula