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INTRODUCTION TO REINSURANCE EXPERIENCE & EXPOSURE RATING UNDERWRITING INFORMATION MICHAEL E. ANGELINA - TOWERS PERRIN ROBIN MURRAY – TOWERS PERRIN CAS RATEMAKING SEMINAR MARCH 11, 2004 PHILADELPHIA, PA
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AGENDA Introduction Description of Sessions Background Information Exposure Rating Direct vs Ceded Loss Ratio Treatment of ALAE Experience Rating Burning Cost Frequency / Severity Recap Audience Underwriting Reconciliation of Estimates Concluding Remarks
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BACKGROUND INFORMATION Placement Terms for Subject Business Layer: 100K xs 100K Loss Occurring Policy;Effective 1-1-04 Subject Premium $40 million was $10 million - 6 years ago Other Information - Quantitative Historical on-level earned premium for company Limits distribution/line of business profile Classes of risk (mostly Table 2 Prem/Ops) Schedule P - loss ratios, direct, ceded, net Listing of large losses (40 > $30,000) Histories included with large claims Historical loss development of ground-up losses
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BACKGROUND INFORMATION
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Estimation Pitfalls Effect of Policy Limit Drift on Prior Experience
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BACKGROUND INFORMATION
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* Ultimate Loss & ALAE as reported in Schedule P
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BACKGROUND INFORMATION Observations on Data Significant growth over experience period controlled growth or take-all-comers expansion of current relationships with known agents introduced new producers Appearance of underlying policy limit drift less than 50% of business had policy limits 500k and above 2003 percentage is 64% anticipated 2002 to 2003 saw more migration to higher limits Strong u/w results for other liability lines of business 35% to 40% on direct business 38% to 43% on net business Signs of development at later maturities age-to-age factor of 2.78 for 33-45 month
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BACKGROUND INFORMATION Other Information - Qualitative Underwriting audits Excess and surplus company large writer of retail supermarkets in Northeast Underwriting philosophy generally strong Surcharge tougher risks Generally knowledgeable about territories Loss ratios have been stable by accident year Claims audit Reserving philosophy - development on large claims across all maturities Settlement philosophy Higher-than-average expenses
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Introduction to Exposure Rating Why Exposure Rate? determines benchmark incorporates changes in underlying risks reflects distribution of policy limits distinguishes risk profiles/classes provides estimate where losses are sparse eliminates issue of free cover reflects underlying loss experience somewhat; may not reflect excess experience illustrates frequency and severity components exposure curves produce average severity implies certain frequency
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Exposure Rating Methodology Distribute total premium to corresponding policy limits and lines of business provided with premium distribution allocation of premium to future year is critical assumption Calculate amount of premium exposed to reinsurance layer excess loss factor / increased limits factor reflects line of business and underlying policy limit Convert “exposed premium” to “exposed losses” by line of business Consider other factors ALAE; Risk Loads; ECO/XPL
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Distribution of Premium to Layer Premium Distribution by Policy Limit: LimitPremiumRetention100 Xs100 Xs 200 100/1007,0007,0000 0 300/3008,5206,8421,066 612 500/50010,0007,3791,1501,471 1000/100014,4809,6411,5023,336 40,00030,8623,7175,420 NOTE: All values in thousands
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Distribution of Premium and Expected Loss to Layer: Policy Limit $500/$500 Premium Loss LayerDistribution Distribution 0-10073.8%67.8% 100-20011.5%14.7% Above 20014.7%17.5%
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Allocation of Premium & Loss to Layer LimitRetention100 Xs100Xs200Total 100/100 Premium 7,000007,000 Loss2,800002,800 300/300 Premium6,8421,0656128,520 Loss2,5515523043,408 500/500 Premium7,3791,1501,47210,000 Loss2,7145886984,000 1000/1000 Premium9,6411,5023,33614,480 Loss3,5377661,4855,792 Total Premium30,8623,7175,42140,000 Loss11,6021,9072,49016,000
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ALAE by Layer Retention100 Xs100Xs200Total Premium30,8623,7175,42140,000 Exp Loss11,6031,9072,49016,000 ALAE% 42.9% 20.9% 18.6%36.6% ALAE4,988 398 4655,851 Loss&ALAE16,5912,3042,95621,851 L&LAE Ratio53.8% 62.0% 54.5% 54.6%
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ALAE Load Can Vary By layer Model with two way variability Load % decreases by limit ALAE is then allocated to layers One allocation formula for Pro Rata A more complicated one for Added To
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