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abcd 2001 Healthcare Conference Learning from Experience 21-23 October 2001 © Peter Turvey
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Objectives To help a Product Manager to Understand the impact on the insurer’s financials Identify the key risk factors Learn from experience Modify strategy and tactics
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Health Insurance Products Critical Illness Income Protection Long Term Care Medical Expense …….
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Scope Product Design Distribution Pricing Reserving
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Control Cycle Define problem
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Control Cycle Define problem Develop business model
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Control Cycle Define problem Develop business model Projection/ pricing
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Control Cycle Define problem Develop business model Projection/ pricing Monitor experience
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Control Cycle Refine model Define problem Develop business model Projection/ pricing Monitor experience
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Commercial Background Consumerism Transparency Competition Penalties for failure
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Success Factors Accurate pricing Cherry-picking Economies of scale Profit maximisation
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Control Cycle Define problem
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Define the Problem Establish objectives Volume Profitability/contribution to overhead Modernise product range Timescale
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Control Cycle Define problem Develop business model
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Business Model Input items Product Design Distribution Strategy Anticipated Experience Reinsurance External costs and inputs Reporting Framework(s)
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Business Model Output items Projected Revenue Projected Capital needs Projected use of other resources Sensitivities
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Product Design Benefits scale Benefit definitions Guarantees Options
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Distribution Strategy Channel Target Market(s) Model Points Pricing Structure Underwriting Strategy
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Anticipated Experience - Product Related One-off Development Cost Morbidity/Recovery Mortality Persistency Claim Cost Distribution Secular Changes
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Anticipated Experience - Distribution Related Development Cost Volumes Mix
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Reinsurance Method Reinsurance Limits Reinsurance Terms
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External Costs/Inputs Capital Issue Expense Maintenance Expense Tax Investment Income
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Reporting Framework Accounting Conventions Reserving algorithms Solvency Capital Possible future changes
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Control Cycle Define problem Develop business model Projection/ pricing
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Projected Revenue On all the bases that matter Monthly intervals Full revenue account Surplus/deficit “Drill-down” facility
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Resource Utilisation Capital Accumulated Statutory deficit Solvency Margin RoCE Other People, space, IT capacity….
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Sensitivities Deterministic versus Stochastic Single parameter tests Environment tests Combination “Doomsday” tests Identify key risk factors….and manage
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Model Overview Own the Model Document Communicate key findings
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Parameter Setting Sources Own experience Colleagues Market Experience (e.g. CMI) Reinsurers Official Statistics Professional papers
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Pricing Benchmark Price to achieve profit target Compare with peer group Investigate differences
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Benchmarking Review Confirm approach Modify approach Abandon?
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Systems Objectives Collect any data that might indicate a risk factor Collect detailed claims data Facilitate changes to product design
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Control Cycle Define problem Develop business model Projection/ pricing Monitor experience
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Evaluate Experience Tools Whole account studies Single factor studies Progressively refine if/when data allows Multiple regression analysis
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Things to look at…. All the assumptions in the model Numbers vs amounts Decrements rates vs anticipated actual Analysis of surplus under different regimes Projected revenue: outturn Peer group performance
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Research Programme Prioritise Rolling program Standardise Automate Contribute to industry studies
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Control Cycle Refine model Define problem Develop business model Projection/ pricing Monitor experience
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Learning the Lessons Identify the best parts of the portfolio Identify the worst-performing parts of the portfolio Modify Business Plan Reprice
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Product Design Benefits scale Benefit definitions Guarantees Options
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Distribution Strategy Channel Target Market(s) Model Points Pricing Structure Underwriting Strategy
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Overview Control cycle is a vital tool Provides early clues as to best route through largely uncharted territory Key elements documentation projection data collection analysis modification of policy
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