10  Appendices

10.1 Table of symbols

Table 10.1: Symbols used in this monograph.
Symbol Interpretation Reference
\(\alpha_k^i\) unit \(i\) share of layer \(k\) expected loss Section 8.3
\(\beta_k^i\) unit \(i\) share of layer \(k\) premium Section 8.3
\(\delta\) rate of discount, \(\delta=\iota/(1+\iota)\) Section 4.1
\(\Delta X_k\) layer \(k\) limit, \(\Delta X_k=X_{k+1}-X_k\) Section 4.4
\(\epsilon\) scaling parameter Section 3.2, Section 5.5
\(\epsilon_-\) minimum scale Section 5.5.2
\(\epsilon_+\) maximum scale Section 5.5.2
\(\iota\) expected return, cost of capital, \(\iota = M/Q\) Section 4.1
\(\iota^i\) unit \(i\) cost of capital Section 8.3
\(\iota_k\) layer \(k\) cost of capital Section 8.3
\(\kappa^i(x)\) unit \(i\) conditional expected loss, \(\kappa^i(x) := \mathsf E[X^i|X=x]\) Section 4.3
\(\nabla^i\phi(X)\) partial derivative with respect to scaling Section 3.2
\(\nu\) discount factor, \(\nu=1/(1+\iota)\) Section 4.1
\(\Phi(z)\) standard Gaussian cumulative distribution function Section 4.6
\(\rho()\) pricing risk measure Section 1.6
\(\theta\) weight parameter for bi-TVaR Section 6.1
\(a\) assets Section 1.6
\(a()\) capital risk measure Section 1.6
\(a^i\) allocation of assets to unit \(i\) (industry standard) Section 4.7
\(g(s)\) distortion function Section 4.4
\(i\) index to portfolio unit Section 2.2
\(j\) event index, \(j=1, \dots, n\) Section 2.2
\(k\) layer index, \(k=0,\dots,n-1\) Section 4.4
\(L\) expected loss Section 4.1
\(L^i\) unit \(i\) expected loss Section 4.7, Section 4.5
\(M\) margin, \(P=L+M\) Equation 4.1, Section 4.1
\(M^i\) unit \(i\) margin \(M^i = P^i - L^i\) Section 4.5
\(m\) number of units Section 2.2
\(n\) number of events Section 2.2
\(p_j\) event probability \(p_j=\Pr(X=X_j)\) Section 2.2
\(P\) premium \(P=\rho(X)\) Section 1.6
\(P_k\) layer \(k\) premium, \(P_k = g(S_k)\Delta X_k\) Section 4.4
\(P_P\) plan premium Section 5.5.2
\(P_R\) required premium Section 5.5.2
\(P^i\) unit \(i\) premium Section 4.7, Section 4.5
\(q_k\) distorted probability, \(q_k = g(S_{k-1}) - g(S_{k})\) Section 4.4
\(Q\) capital \(Q=a-P\) Section 1.6
\(Q^i\) unit \(i\) capital Section 8.3
\(Q_k^i\) unit \(i\) capital in layer \(k\) Section 8.3
\(Q_P\) plan capital, \(Q_P=a-P_P\) Section 5.5.2
\(r\) EVA/capital ratio, \(r=V/Q_P\) Section 5.5.2
\(S_k\) layer \(k\) attachment probability, \(S_k=Pr(X > X_k)\) Section 4.4
\(\mathsf{TVaR}_{0.99}\) InsCo example capital standard Section 3.2
\(V\) EVA, economic value added, \(V=P_P-P_R\) Section 5.5.2
\(\mathsf{VaR}_{0.85}\) example alternative risk measure Section 3.2
\(X\) portfolio liability random variable Section 1.6
\(X_0\) phantom portfolio loss \(X_0=0\) with probability \(p_0=0\) Section 4.3
\(X_j^i\) loss to unit \(i\) in event \(j\) Section 2.2
\(X_j\) portfolio loss in event \(j\) Section 2.2
\(X_k\) layer payout threshold (attachment) Section 4.4
\(X\wedge a\) portfolio payout to policyholders Section 1.6
\(X^i(a)\) unit \(i\) capped losses Section 4.3
\(X^i\) loss to unit \(i\) (random variable) Section 2.2
\(Z_k\) event weight, likelihood ratio, \(Z_k=q_k/p_k\) Section 4.4

10.2 Actuarial Standards of Practice

“The Actuarial Standards Board (ASB) sets standards for appropriate actuarial practice in the United States through the development and promulgation of Actuarial Standards of Practice (ASOPs). These ASOPs describe the procedures an actuary should follow when performing actuarial services and identify what the actuary should disclose when communicating the results of those services.” ASOPs can be found at https://www.actuarialstandardsboard.org/standards-of-practice/

Table 10.2: ASOPs that are relevant to capital modeling.
Number Title Reference
7 Analysis of Life, Health, or Property/Casualty Insurer Cash Flows Chapter 2
23 Data Quality Chapter 2
30 Treatment of Profit and Contingency Provisions and the Cost of Capital in Property/Casualty Insurance Ratemaking Chapter 4
46 Risk Evaluation in Enterprise Risk Management Chapter 2, Chapter 3
47 Risk Treatment in Enterprise Risk Management Section 1.3, Section 3.2
55 Capital Adequacy Assessment Chapter 3
56 Modeling Chapter 2
58 Enterprise Risk Management Chapter 2, Chapter 3

The ASB repealed ASOP Nos. 46 and 47 in December 2024 and replaced them with ASOP No. 58, Enterprise Risk Management, to reflect the developments since 2012, to better reflect today’s ERM practices and terminology, and to align with ASOP No. 55.

Table 10.3: ASOPs that are potentially relevant to capital modeling.
Number Title
12 Risk Classification (for All Practice Areas)
13 Trending Procedures in Property/Casualty Insurance
19 Appraisals of Casualty, Health, and Life Insurance Businesses
20 Discounting of Property/Casualty Claim Estimates
25 Credibility Procedures
29 Expense Provisions for Prospective Property/Casualty Risk Transfer and Risk Retention
36 Statements of Actuarial Opinion Regarding Property/Casualty Loss, Loss Adjustment Expense, or Other Reserves
38 Catastrophe Modeling (for All Practice Areas)
39 Treatment of Catastrophe Losses in Property/Casualty Insurance Ratemaking
41 Actuarial Communications
43 Property/Casualty Unpaid Claim Estimates
53 Estimating Future Costs for Prospective Property/Casualty Risk Transfer and Risk Retention

10.3 Glossary

Term Description Reference
Accounting module that produces financial statements Section 1.5
Allocation module that distributes portfolio premium to units Section 1.5
BCAR Best’s Capital Adequacy Ratio Section 1.5
Bi-TVaR convex combination of TVaRs Chapter 6
Business Operations module that deals with loss experience Section 1.5
Capital owner-provided funds Section 1.1
Capital Adequacy module dealing with risk and capital sufficiency Section 1.5
Capital risk measure rule relating liabilities to required assets Section 1.6
Capital structure mix of liabilities funding total assets Section 1.5, Section 2.5
Charter formal document setting out the rationale Section 1.2
Co-TVaR conditional TVaR, Natural Allocation of TVaR Section 3.2
co-XTVaR Conditional XTVaR Section 4.7
Comonotonic Random variables \(X\) and \(Y\) are comonotonic if they are nondecreasing functions of a third r.v. Chapter 4
Comonotonic additive Property of a risk measure \(\rho\): If \(X\) and \(Y\) are comonotonic, then \(\rho(X+Y)=\rho(X)+\rho(Y)\) Chapter 4
Constant cost of capital (CCoC) assumption that all layers require the same return Section 4.4
Distortion function translates attachment probability to rate on line Section 4.4
Distorted expectation expectation calculated with distorted probabilities \(q\) Section 4.5, Section 4.8
Distorted expected loss share a unit’s share of a layer’s distorted expected loss, \(\beta_k^i\) Section 8.3
Distorted probability after applying a distortion function, \(q\) replaces \(p\) Section 4.4
Economic Scenario Generator module to generate socioeconomic outcomes Section 1.5, Section 2.4
Economic value added (EVA) Profits beyond what is necessary for investors Section 4.1
Equal Priority Rule for distributing funds among claimants Section 4.3
Expected loss share a unit’s share of a layer expected loss, \(\alpha_k^i\) Section 8.3
Funding equation states that assets are the sum of premiums and investor capital, \(a=P+Q\) Equation 1.1, Section 1.6
Gradient derivative with respect to several variables Section 3.2
InsCo hypothetical insurer used as a simple example Section 1.6
Insureds customers of InsCo, who pay premiums Section 1.6
Investors owners of InsCo, who supply capital Section 1.6
Law invariance risk measure depends only on distribution Section 4.4
Layer segment of assets between two levels of portfolio loss Section 4.4
Layer funding equation states that layer assets are the sum of premiums and investor capital, \(\Delta X_k=P_k+Q_k\) Equation 4.4, Section 4.4
Likelihood ratio ratio of distorted to original probabilities Section 4.8
Margin difference between premium and expected loss, \(M=P-L\) Equation 4.1, Section 4.1
Marginal approach examine the effect of a small change; look at first derivative Section 3.2
Model simplified representation of reality, usually mathematical Section 1.1, Section 1.5
Natural Allocation (NA) decomposition of portfolio premium into distorted expectation of unit losses Section 4.5
Natural Allocation of capital allocation of capital consistent with allocation of premium, \(Q_k^i\) Section 8.3
Normal copula multivariate uniform distribution based on the normal Section 8.2.5
Objectivity synonym for law invariance Section 4.4
Parameter uncertainty lack of knowledge about parameters of a process, sometimes modeled as a distribution Section 8.1
Pricing module assigns technical premium to the portfolio Section 1.5
Pricing & Allocation module that assigns technical premiums to units Section 1.5
Pricing risk measure rule that relates liabilities to technical premiums Section 1.6
Pro forma hypothetical financial statement Section 1.5 , Section 2.7
Proxy model simpler model of another model Section 5.5
Probabilistic database stored sample of random outcomes Section 2.2
Process risk randomness in outcomes from a well defined and parameterized stochastic process Section 8.1
Reinsurance module that deals with risk transfer Section 1.5
Risk appetite compensation/price limit for taking on risk Section 1.5
Risk tolerance limit of risk the firm is willing to take on Section 1.5
RVaR Range Value at Risk, window version of VaR Section 3.2
Quantity of Interest target metric, statistic, etc., of a simulation exercise Section 8.1
Spectral risk measure (SRM) risk measure determined by a distortion function Section 4.4
State price A contract that pays $1 in a particular state of the world Section 4.8
Tranche synonym for layer Section 4.4
Unit portion of portfolio, e.g., line of business Section 1.5
Value at Risk (VaR) risk measure, quantile of a distribution Section 1.5
Tail Value at Risk (TVaR) average of losses in a specified tail probability; also CVaR, TCE Chapter 3
Excess TVaR (XTVaR) TVaR minus expected losses Section 4.7