IFoA CM1 study materials
IFoA CM1 study resources

IFoA CM1 cheat sheet

IFoA CM1 · Keep the key ideas within reach.

Quick reference

Theory of Interest Rates: Accumulation, Discounting and Annuities

  • Accumulated value: A(t) = A(0)·a(t); present value: PV = A(t)·v(t) with v(t) = 1/a(t). For constant force δ, a(t) = e^{δt} and v(t) = e^{-δt}.

  • Effective rate i and discount rate d satisfy d = i/(1+i) = 1 - v, and v = 1 - d. Nominal rates: (1+i) = (1 + i^{(m)}/m)^m = (1 - d^{(m)}/m)^{-m}.

  • Force of interest from accumulation function: δ(t) = a'(t)/a(t) = d/dt ln a(t), so a(t) = exp(∫₀ᵗ δ(s) ds). Constant δ gives i = e^δ - 1.

  • Annuity-immediate: a-angle-n = (1 - v^n)/i, s-angle-n = ((1+i)^n - 1)/i. Annuity-due: ä-angle-n = (1+i)a-angle-n = (1 - v^n)/d.

  • Continuous annuity: ā-angle-n = (1 - v^n)/δ. Perpetuities: a-angle-∞ = 1/i (immediate), 1/d (due), 1/δ (continuous).

  • Increasing annuity: (Ia)-angle-n = (ä-angle-n - n·v^n)/i. Varying payments use Σ C_t v^t; split into level plus increasing components to simplify.

  • Equation of value: Σ inflows·v^t = Σ outflows·v^t at a chosen comparison date. Any consistent date gives the same answer; IRR is the i making net present value zero.

  • Real vs nominal: (1+i_real) = (1+i_nominal)/(1+inflation). Payments in geometric progression with ratio (1+g) use first payment times a-angle-n at rate j = (i-g)/(1+g).

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Term Structures and Simple Stochastic Models for Asset Returns

  • Spot rate y_t is the yield on a zero-coupon bond maturing at t: P(0,t) = exp(-y_t·t). Forward rate f_{t,r} satisfies exp(-y_{t+r}(t+r)) = exp(-y_t·t)·exp(-f_{t,r}·r).

  • Instantaneous forward rate f(t) = -d/dt ln P(0,t); with continuous spot y(t), f(t) = y(t) + t·y'(t). Upward-sloping spot curve implies forward rates above spot rates.

  • Duration (Macaulay) D = Σ t·C_t·v^t / Σ C_t·v^t; modified duration = D/(1+i); convexity = Σ t(t+1)C_t v^t / ((1+i)^2 Σ C_t v^t).

  • Redemption yield solves P = Σ C_t (1+y)^{-t}; price and yield move inversely. A bond trades at par when coupon rate equals yield.

  • Random walk model: log return over unit period R ~ N(μ, σ²). Accumulation over n years: S_n = S_0·exp(R_1+...+R_n), with E[S_n] = S_0·exp(n(μ + σ²/2)).

  • Lognormal property: ln S_n ~ N(nμ, nσ²), so S_n is lognormal; Var[S_n] = S_0²·e^{2nμ+nσ²}(e^{nσ²} - 1). Percentiles use Φ^{-1}.

  • Brownian motion with drift: dS/S = μ dt + σ dW gives S_t = S_0·exp((μ - σ²/2)t + σW_t); the σ²/2 correction distinguishes arithmetic drift μ from geometric growth.

  • Term structure theories: expectations hypothesis (forwards are expected future spot rates), liquidity preference (forwards exceed expected spots due to premium), and segmentation/market segmentation.

Quick reference

Principles of Actuarial Mathematics: Cashflow Models and Present-Value Random Variables

  • A cashflow model specifies payment amounts, timings, and the probability distribution driving them; a present-value random variable discounts each cashflow to time 0 using the relevant discount function.

  • For a whole-life assurance paying 1 at the end of the year of death, PV = v^{K+1} where K is curtate future lifetime; E[PV] = A_x = Σ v^{k+1}·{k}p_x·q{x+k}.

  • Variance principle: Var[Z] = E[Z²] - (E[Z])². Compute E[Z²] using the same survival probabilities discounted at v² (or e^{-2δ}), giving A_x at rate (1+i)² - 1.

  • Actuarial present value (APV) equals expected present value under the assumed interest and mortality basis; equivalence principle sets EPV of premiums equal to EPV of benefits plus expenses.

  • Benefit premiums: net premium P = A_x / a_x for whole life; gross premium includes expense loadings, typically as a percentage of premium plus per-policy amounts.

  • Prospective reserve at time t = EPV(future benefits + expenses) - EPV(future premiums); retrospective reserve = accumulated past premiums minus accumulated past benefits, equal under the same basis.

  • Thiele's differential equation: d/dt V_t = δ_t·V_t + P_t - b_t - (S_t - V_t)·μ_{x+t}, where S_t is the sum at risk and μ the force of mortality.

  • For a portfolio, expected profit emerges from the difference between the reserving basis and the experience basis; profit signature is the sequence of expected cashflows including reserves.

Quick reference

Life Tables, Life Insurance and Annuity Contracts

  • Life table identities: l_{x+1} = l_x - d_x; {t}p_x = l{x+t}/l_x; {t}q_x = 1 - l{x+t}/l_x; force of mortality μ_{x+t} = -(1/l_{x+t})·dl_{x+t}/dt.

  • Curtate expectation of life e_x = Σ_{k≥1} kp_x; complete expectation e̊_x ≈ e_x + 1/2 under uniform distribution of deaths.

  • Whole-life assurance: A_x = v·q_x + v·p_x·A_{x+1}; recursive relationship allows computation from the ultimate age backward. Term assurance: A^1_{x:n} = A_x - v^n·np_x·A{x+n}.

  • Endowment assurance: A_{x:n} = A^1_{x:n} + v^n·np_x (pure endowment). Relationship to annuity: A_x = 1 - d·ä_x; A{x:n} = 1 - d·ä_{x:n}.

  • Annuity-immediate a_x = Σ v^k·_kp_x; annuity-due ä_x = (1+i)a_x. Increasing assurances use commutation functions or recursive relations with (IA)_x.

  • Commutation functions: D_x = v^x·l_x, C_x = v^{x+1}·d_x, N_x = Σ_{k≥0} D_{x+k}, M_x = Σ C_{x+k}. Then A_x = M_x/D_x and a_x = N_{x+1}/D_x.

  • Uniform distribution of deaths (UDD) assumption: _{t}q_x = t·q_x for 0 ≤ t ≤ 1, giving fractional-age approximations for benefits paid at death.

  • Reserves for term and endowment assurances follow the recursive relation (V + P)(1+i) = q_{x+t}·S + p_{x+t}·_{t+1}V, where S is the sum assured.

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Mortality and Morbidity Models: Laws, Selection and Multiple Decrements

  • Gompertz law: μ_x = B·c^x, giving survival _{t}p_x = exp(-B·c^x·(c^t - 1)/ln c). Makeham adds a constant: μ_x = A + B·c^x.

  • Weibull law: μ_x = k·x^n, giving _{t}p_x = exp(-k·((x+t)^{n+1} - x^{n+1})/(n+1)).

  • Select mortality: rates depend on duration since selection, denoted q_{[x]+r}. Select period of h years followed by ultimate rates q_{x+r}; select rates are lower than ultimate rates for the same age.

  • Multiple decrement: total force μ^{(T)} = Σ μ^{(j)}. Associated single-decrement probability q_x^{(j)} relates to dependent rate via q_x^{(j)} = ∫₀¹ _tp_x^{(T)}·μ_x^{(j)}(t) dt.

  • Uniform distribution of decrements in the multiple-decrement table: q_x^{(j)} = a_x^{(j)}/l_x where a_x^{(j)} are independent decrements; conditional probability of decrement j given decrement occurs is a_x^{(j)}/a_x^{(T)}.

  • Multiple-state models: transition intensities μ^{ij}_x define the generator matrix; Kolmogorov forward equations d/dt p^{ij}(s,t) = Σ_k p^{ik}(s,t)·μ^{kj}(t) govern transition probabilities.

  • Two-state model (alive/dead) with constant force μ gives _{t}p_x = e^{-μt} and the expected present value of a whole-life assurance paid at the moment of death is μ/(μ+δ).

  • Selection effects: underwritten lives show lower early-duration mortality; temporary initial selection followed by ultimate rates, often approximated by adding a select period to standard tables.

Quick reference

Profit Testing and Analysis of Surplus for Life Insurance Contracts

  • Profit test: project premiums, benefits, expenses, interest, and reserves at the pricing basis; profit at time t = (reserve_{t-1} + premium - expenses)(1+i) - benefits - reserve_t.

  • Profit signature: the sequence of expected profits per policy in force at inception (profit at t times survival probability). The net present value is the sum of discounted profit signature.

  • Internal rate of return (IRR) solves NPV = 0; the profit test compares IRR to the hurdle rate (risk discount rate) to determine contract profitability.

  • Break-even year is the first year in which the cumulative present value of profits becomes positive; break-even month interpolates within that year.

  • Analysis of surplus decomposes the change in surplus between valuation dates into components: interest (actual vs expected), mortality (actual vs expected), expenses, lapse/withdrawal, and new business strain.

  • Sources of surplus: return on investments, release of margins in reserves, mortality profit, expense savings, and surrender profits. Each is computed as (actual - expected) times the exposed amount.

  • New business strain arises because initial expenses exceed the first premium; it reduces surplus at outset and is recovered through future profits.

  • Asset share is the accumulated value of premiums less benefits and expenses per policy, rolled up with the actual investment return; it informs bonus and surrender value decisions.

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Reserving, Capital and Solvency for Life Insurance

  • Gross premium reserve uses the valuation (reserving) basis, typically more prudent than the pricing basis: higher mortality, lower interest, and higher expenses.

  • Net premium reserve uses only net premiums (excluding expenses) but reserves for expenses implicitly through the difference between gross and net premiums.

  • Solvency capital requirement: capital needed so that assets exceed liabilities at a high confidence level (e.g., 99.5% one-year VaR under Solvency II).

  • Risk margin compensates for the cost of holding required capital; under Solvency II it is the cost of capital (6%) applied to projected SCR run-off.

  • Best estimate liability is the expected present value of future cashflows under realistic assumptions; technical provisions equal best estimate plus risk margin.

  • Reserving bases: zillmerised reserves adjust for initial expenses; modified reserves allow surplus to emerge earlier and reduce new business strain.

  • Stress testing and scenario analysis assess the impact of changes in interest rates, mortality, expenses, and lapses on reserves and capital.

  • Free assets (surplus) equal assets minus liabilities; the ratio of free assets to required capital indicates financial strength and is monitored by regulators.

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Pension and Social Security Schemes: Structures, Funding and Modelling

  • Defined benefit (DB): benefit based on salary and service, e.g., n/60 × final salary per year of service. The employer bears investment and longevity risk.

  • Defined contribution (DC): benefit equals accumulated contributions plus investment return at retirement; the member bears investment risk and often longevity risk.

  • Final salary vs career average (CARE): final salary uses salary near retirement; CARE uses revalued average salary, reducing cost volatility for the employer.

  • Pension funding: contribution rate c satisfies EPV of contributions = EPV of benefits plus expenses; actuarial valuation uses a discount rate reflecting expected asset returns.

  • Accrued benefits vs projected benefits: the accrued (past service) liability uses current salary; the projected liability includes future salary growth and service.

  • Social security schemes: pay-as-you-go (PAYG) funds current benefits from current contributions; funded schemes build assets. PAYG depends on the dependency ratio.

  • Pension increases and revaluation: LPI (limited price indexation) caps inflation-linked increases; salary growth assumptions affect final salary benefits.

  • Actuarial modelling for pensions includes sensitivity to inflation, salary growth, longevity, and asset returns; funding level = assets / liabilities.