Decisional optimality in life reinsurance modelingRORAC net of reinsurance) : Profitability S1 =...
Transcript of Decisional optimality in life reinsurance modelingRORAC net of reinsurance) : Profitability S1 =...
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IAA colloquium - Oslo 2015
Maxence Saunier
[email protected] rue de la fédération, 75015 Paris, FRANCE
ReferentsArnaud ChevalierFrédéric Planchet
Decisional optimality in lifereinsurance modeling
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Summary
Context and approach
Formal development and mean-variance efficient frontier
Simulation and optimisation results
Conclusion
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Insurers’ margins are stressed witheconomic turmoil : cost of reinsurance is questioned towardsits efficiency.
Diverse regulations assess for reinsurance impacts
Financing solvency through- enough own funds- subordinated debt- cession in reinsurance
Context Context and approach
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« Increasing the means or reducing the needs »
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Reinsurance on life protection product(perimeter)
Which indicators to optimise for the cedant ? (objective function)
Which parameters to be set ?(decision variables)
Our approach Context and approach
→ Formal and numerical optimisation program
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Our approach Context and approach
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Existing approaches- Stop loss optimality & price optimisation- Financial analysis with Markowitz and de Finetti
Need to give a precise definition of a reinsurance structure
- perimeter (portfolio(s), LOB(s), entity, …)
- trigger (cat or non cat)
- form (quota share, surplus, excess of loss, aggregate, …)
- level parameters (cession rate, retention amount, limits, …)
- commercial parameters (price for non-prop, fixed or profit commission)
- duration
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Summary
Context and approach
Formal development and mean-variance efficient frontier
Simulation and optimisation results
Conclusion
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Markowitz efficient frontier
Markowitz’s analysis (1958) with n risk assets : A = ( ai )i
without condition on A → straight linewith condition on A in equality → hyperbola
Problem : efficient frontier is not defined everywhere(negative cession rates)
Mean variance efficient frontier
→ need for other constraints on ai
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Constraints in inequalities and convex optimisation
de Finetti (1940) resolution. Each ai is expressed as :
de Finetti optimisation Mean variance efficient frontier
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de Finetti optimisation
→ Mean-variance efficient frontier, defined everywhere
Mean variance efficient frontier
withoutreinsurance
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Limits for the formal analysis
individual cession rates to define in the treaty
only one couple of measures (mean – variance)
no account for regulatory environment (capital measure)
complexity if other reinsurance parameters (commission, …)
limits in normality assumptions (cf. conclusion)
→ Use of simulation and empirical distributions
Mean variance efficient frontier
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Summary
Context and approach
Formal development and mean-variance efficient frontier
Simulation and optimisation results
Conclusion
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The model Optimality with simulation
Stochastic multi-year modeling, for each line in the portfolio Recording each ceded cashflow for each layer of reinsurance Indicators gross and net of reinsurance :
- Distributions of 1-year result and NAV- best estimate over 30 years for S2 calculations
Cumulative distributions after Quota Share structures12/26Decisional optimality in life reinsurance modeling
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The outputs Optimality with simulation
Sensitivities on- mean- standard deviation- variation ratio- percentiles- Tail Value-at-Risk- requirements in S1 et SCR S2
functions of- Quota share : cession rate- Surplus : retention- Limits- Commission rate- Profit sharing rate
→ Enable to build risk-reward diagram to compare structures13/26Decisional optimality in life reinsurance modeling
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Simulation and mean-variance results
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Optimality with simulation
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Simulation and mean-variance results Optimality with simulation
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→ new measure : « Mean ceded result » represents total cost of reinsurance
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Risk measures against mean ceded resultOptimality with simulation
Δ (brut-net) coeff. variationsMinimum
TVaR5% TVaR0,5%
→ Exhaustive plotting gives various interpretations16/26Decisional optimality in life reinsurance modeling
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Effects on capital requirements Optimality with simulation
Requirement S1
Requirement S2
→ optimisation S1 : form of reinsuranceoptimisation S2 : duration of reinsurance
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Focus on treaty duration Optimality with simulation
Effect on VIF (Value In Force) and SCR
SCR sub modules for a 80% quota share, against treaty duration
+ 1 year = + 4% reduction of SCRLife
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Local and global optimality ? Optimality with simulation
Definition of profitabilities (RORAC net of reinsurance) :
Profitability S1 =
Profitability S2 =
→3 indicators in the same diagram to analyse reinsuranceefficiency on :
capital & risk reductionvs.
value reduction
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𝑀𝑀𝑀𝑀𝑀𝑀𝑀𝑀 𝑀𝑀𝑀𝑀𝑛𝑛 𝑟𝑟𝑀𝑀𝑟𝑟𝑟𝑟𝑟𝑟𝑛𝑛𝑆𝑆1 𝑀𝑀𝑀𝑀𝑛𝑛 𝑟𝑟𝑀𝑀𝑟𝑟𝑟𝑟𝑟𝑟𝑟𝑟𝑀𝑀𝑟𝑟𝑀𝑀𝑀𝑀𝑛𝑛
𝑀𝑀𝑀𝑀𝑀𝑀𝑀𝑀 𝑀𝑀𝑀𝑀𝑛𝑛 𝑟𝑟𝑀𝑀𝑟𝑟𝑟𝑟𝑟𝑟𝑛𝑛𝑆𝑆2 𝑀𝑀𝑀𝑀𝑛𝑛 𝑟𝑟𝑀𝑀𝑟𝑟𝑟𝑟𝑟𝑟𝑟𝑟𝑀𝑀𝑟𝑟𝑀𝑀𝑀𝑀𝑛𝑛
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Local and global optimality ? Optimality with simulation
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Profitability S1 Profitability S2
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Local and global optimality ? Optimality with simulation
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Profitability S1 Profitability S2
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Local and global optimality ? Optimality with simulation
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Profitability S1 Profitability S2
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New efficient frontiers Optimality with simulation
Comparison between proportional structures
- reducing net required capital with same mean net result- increasing mean net result with same net required capital
Comparison with non-proportional structures
- allows to determine price ranges in which non-proportionalstructures (defined by their price) could be more interesting
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About non-proportional reinsurance Optimality with simulation
No proportional share in good or adverse scenarios
No proportional price
Effects on risk & capital
XS per head XS CAT event XS pandemic (aggregate)
Risk Volatility reduction Peak risk Mean term mortalitydeviation
CapitalNo significant impact of
capital requirement(duration)
Effect on CAT scenario in S2 and C9
Effect on sub-moduleSCRCAT in modules Life &
Health
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→ limitation of duration
→price negociation
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Our study suggests a method to compare reinsurancestructures according to risk - reward - capital criterion (for agiven perimeter/segmentation)
To go further :
- Equations of the efficient frontiers and normalityassumption
- Analysis with VIF as reward measure- Combining portfolios in a reinsurance treaty- Parameters to the limits : alternative reinsurance- Placement optimisation : shares, ratings and guarantees
(with SCR counterparty as a criteria)
ConclusionConclusion
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Thank you for your attention-
Questions
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Annex 1 – Réassurance Solvabilité 1
Decisional optimality in life reinsurance modeling
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Annex 2 – mean convergence
Graphe de convergence de statistiques de la variable aléatoire « résultat net », par nombre de simulation
Decisional optimality in life reinsurance modeling
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Annex 3 – standard deviation convergence
Graphe de convergence de la volatilité de la variable aléatoire « résultat net », par nombre de simulation
Decisional optimality in life reinsurance modeling
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Annex 4 – Convex non linear optimisation
Program
Lagrangian
Conditions K.K.T
Decisional optimality in life reinsurance modeling
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Annex 5 – Model in Lifemetrica
Decisional optimality in life reinsurance modeling
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Annex 6 – Portfolio
Cumulative distribution of sums insured
Density of sums insuredby age
Decisional optimality in life reinsurance modeling
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Annex 7 – States C8 C9
http://www.acp.banque-france.fr/fileadmin/user_upload/acp/Controle_prudentiel/Documents_a_remettre_en_assurance/NI-cess-reassurance_222.pdf
Decisional optimality in life reinsurance modeling
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Annex 8 – SCR Counterparty (cf. SCR.6. SCR Counterparty risk module)
Decisional optimality in life reinsurance modeling
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Annex 9 – Monetisation
Decisional optimality in life reinsurance modeling
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Annex 10 – Quota Share
Decisional optimality in life reinsurance modeling
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Annex 11 – Surplus
Decisional optimality in life reinsurance modeling