Stochastic Solvency Testing in Life Insurance. Genevieve Hayes



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Stochastic Solvency Testing in Life Insurance Genevieve Hayes

Deterministic Solvency Testing Assets > Liabilities In the insurance context, the values of the insurer s assets and liabilities are uncertain. This uncertainty should be allowed for in any insurer solvency calculations, but historically it has been ignored.

Stochastic Solvency Testing Involves determining probability distributions for A(t) and L(t) (or just C(t)). Insurer must hold an amount of capital at the valuation date sufficient to satisfy a probability-based criterion.

Stochastic Risk Measures x% VaR: Determine C(0) such that: Pr(C(t) > 0) = x% or Pr(-ΔC(t) < C(0)) = x% where ΔC(t) = C(t) C(0) x% TVaR= E(-ΔC(t) -ΔC(t) > x% VaR)

Value at Risk (VaR) x% quantile

Tail Value at Risk (TVaR) x% quantile Average value

Cost of Capital Risk Margins Allow for the hypothetical cost of regulatory capital necessary to run off all of the insurance liabilities, following financial distress of the company. Included so as to provide adequate risk compensation for a hypothetical insurer who may take over the portfolio in the future.

Australian LI Solvency Legislation Three actuarial valuation standards: LPS1.04, LPS2.04 and LPS3.04. No requirement is made for the actuary to use stochastic assumptions under any of these three standards. The probabilities of adequacy of the solvency and capital requirements are unknown.

Australian LI Solvency Legislation According to Karp (2002): the solvency risk criterion was set at a 5% probability of assets falling below liabilities within any of the next three annual balance dates.

Australian GI Solvency Legislation If the internal model based approach is used, the insurer must hold sufficient capital such that the insurer s probability of default over a one year time horizon is reduced to 0.5% or below.

International Association of Actuaries A reasonable period for the solvency assessment time horizon is one year. The amount of required capital must be sufficient with a high level of confidence (eg. 99%) to meet all future obligations. The most appropriate risk measure for solvency assessment is the TVaR.

Data Policy Types Type 1: Whole of life/endowment insurance. Type 2: Unbundled policies (capital guaranteed and investment-linked). Type 3: Level term insurance. Type 4: Yearly-renewable term insurance.

Stochastic Solvency Testing Model Compatible with the existing Australian valuation philosophy. Non-policy liabilities are ignored. Investment earnings, inflation, tax, expenses, mortality and policy discontinuance are all considered. Dependency relationships are considered.

Dependency Relationships Some evidence to indicate the presence of selective lapsation, but the evidence is inconclusive. Evidence to suggest a significant relationship exists between fluctuations in the short-term interest rate and mortality. Evidence to suggest a significant relationship exists between fluctuations in economic variables and lapsation.

Dependency Relationships Economic Sub-Model Mortality Sub-Model Lapsation Sub-Model

Stochastic Sub-Models Economic: modified CAS/SOA model. Mortality: Negative binomial distribution for Type 1 policies. Poisson distribution for all other policy types. Lapsation: Normal-Poisson model for all policy types.

Deterministic Capital Requirements Solvency Capital Requirement = LPS2.04 Solvency requirement BEL Capital Adequacy Capital Requirement = LPS3.04 Cap. Ad. requirement BEL

Stochastic Capital Requirements 99.5% VaR of the change in capital distribution over a one year time horizon. 99.5% TVaR of the change in capital distribution over a one year time horizon. 95% VaR of the change in capital distribution over a three year time horizon. 95% TVaR of the change in capital distribution over a three year time horizon.

Stochastic Asset Requirements Stochastic Minimum Asset Requirement (SMAR) = Best estimate liability + Cost of capital risk margin + Solvency capital requirement Similar to the minimum asset requirement under the Swiss Solvency Test.

Model Asset Portfolios Composition of each of the Model Asset Porfolios: Portfolio 1 Portfolio 2 Portfolio 3 Portfolio 4 Equity 0% 25% 55% 75% Property 0% 5% 5% 5% Fixed Interest 70% 45% 30% 15% Cash 30% 25% 10% 5% Total 100% 100% 100% 100%

Base Case Simulation Results Capital Requirements per Policy for the Base Case Scenarios ($) 12000 10000 8000 6000 4000 2000 99.5% VaR 99.5% TVaR 95% VaR 95% TVaR LPS 2.04 Cap. Req. LPS 3.04 Cap. Req. 0-2000 1 2.1 2.2 2.3 2.4 3 4 Portfolio

Base Case Simulation Results Levels of Sufficiency (on a VaR Basis) of the LPS2.04 and LPS3.04 Capital Requirements for the Base Case Scenarios Liability Asset ΔC(1) ΔC min (0,3) Portfolio Portfolio LPS2.04 LPS3.04 LPS2.04 LPS3.04 1 3 >99.99% >99.99% >99.99% >99.99% 2 1 >99.99% >99.99% >99.99% >99.99% 2 2 >99.99% >99.99% >99.99% >99.99% 2 3 >99.99% >99.99% >99.99% >99.99% 2 4 >99.99% >99.99% >99.99% >99.99% 3 1 1.36% 72.45% 0.00% 1.19% 4 1 >99.99% >99.99% 0.00% 0.00%

Sensitivity Analysis 1. Using a different economic sub-model. 2. Ignoring mortality over-dispersion. 3. Ignoring lapsation over-dispersion. 4. Ignoring mortality and lapsation overdispersion. 5. Ignoring mortality and lapsation overdispersion and dependency relationships. 6. Simplifying the formulae used to determine the mean mortality and lapsation rates.

Sensitivity Analysis Results SMAR are not significantly affected by ignoring mortality or lapsation over-dispersion or the dependency relationships between the submodels. SMAR tend to be higher for Type 3 and 4 policies if calculated using an alternative economic sub-model. SMAR tend to be lower for Type 3 and 4 policies if calculated using simplified mean formulae.

Sensitivity Analysis Results In all cases, it is still true that: for Type 1 and 2 policies, deterministic capital requirements are much greater than the stochastic capital requirements. for Type 3 policies the LPS2.04 solvency requirements are less than the stochastic capital requirements. for Type 4 policies, the deterministic capital requirements are greater than the 99.5% VaR and TVaR, but less than the 95% VaR and TVaR.

Implications For Type 1 and 2 policies, the LPS2.04 and LPS3.04 requirements are unnecessarily high. For Type 3 and 4 policies, the LPS2.04 and LPS3.04 requirements are too low.

Suggested Actions Increase the deterministic solvency requirements for portfolios containing Type 3 or 4 policies. Move from a deterministic solvency capital calculation regime to a stochastic regime.