Actuarium

Formula sheets

Every formula on the syllabus, rendered natively, with the traps examiners set for each. Print one per exam and keep it by your desk.

Exam 7 Estimation of Policy Liabilities, Insurance Company Valuation & ERM

CAS

Mack assumptions   E[Ci,k+1Ci,1..k]=fkCi,k\;E[C_{i,k+1}\mid C_{i,1..k}]=f_kC_{i,k}, Var(Ci,k+1)=σk2Ci,k\operatorname{Var}(C_{i,k+1}\mid\cdot)=\sigma_k^2C_{i,k}, accident years independent.

Mack variance estimate σ^k2=1Ik1i=1IkCi,k(Ci,k+1Ci,kf^k)2\hat\sigma_k^2=\frac{1}{I-k-1}\sum_{i=1}^{I-k}C_{i,k}\left(\frac{C_{i,k+1}}{C_{i,k}}-\hat f_k\right)^2 mse^(C^i,I)=C^i,I2k=I+1iI1σ^k2f^k2(1C^i,k+1jIkCj,k)\widehat{mse}(\hat C_{i,I})=\hat C_{i,I}^2\sum_{k=I+1-i}^{I-1}\frac{\hat\sigma_k^2}{\hat f_k^2}\left(\frac{1}{\hat C_{i,k}}+\frac{1}{\sum_{j\le I-k}C_{j,k}}\right)

Brosius least squares   y^=a+bx\;\hat y=a+bx; credibility form   Zxd+(1Z)E[y]\;Z\cdot\dfrac{x}{d}+(1-Z)E[y].

Clark Weibull growth   G(x)=1exp ⁣[(x/θ)ω]\;G(x)=1-\exp\!\left[-(x/\theta)^\omega\right]; loglogistic   G(x)=xωxω+θω\;G(x)=\dfrac{x^\omega}{x^\omega+\theta^\omega}.

ODP bootstrap scale   ϕ^=rij2np\;\hat\phi=\dfrac{\sum r_{ij}^2}{n-p}, rij=qijm^ijm^ijr_{ij}=\dfrac{q_{ij}-\hat m_{ij}}{\sqrt{\hat m_{ij}}}.

Cost-of-capital risk margin   RM=tCoCCtvt+1\;RM=\sum_t CoC\cdot C_t\,v^{t+1}.

Traps to remember

  • Including the diagonal element in the count of parameters for ODP bootstrap degrees of freedom incorrectly (p=2I1p=2I-1 for an I×II\times I triangle).

  • Forgetting the tail's contribution to Mack's mse when a tail factor is used.

  • Confusing process variance (inherent randomness) with parameter variance (estimation error).

  • Applying a cost-of-capital margin to the run-off of capital rather than to the capital held each year.

Ask the tutor