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Reserving: How and When Should You Slice The Cake

Learn how and when to slice the cake casualty loss reserve in this seminar session by Kevin L. Russell from Erie Insurance Group. Understand the principles, requirements, operational practices, data, assumptions, and criteria involved in reserving for various lines of business in the insurance industry.

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Reserving: How and When Should You Slice The Cake

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  1. Reserving: How and When Should You Slice The Cake Casualty Loss Reserve Seminar Concurrent Session September 10-11, 2001 Kevin L. Russell, FCAS, MAAA Erie Insurance Group

  2. Statement of Principles • Homogeneity • Similar characteristics • Products • Development patterns • Size of loss distribution • Combination/Subdivision to minimize effects of operational changes

  3. Statement of Principles • Credibility • Increase credibility • Increase homogeneity (combination/subdivision) • Increase volume • Decrease credibility • Subdivision which decreases volume

  4. Statement of Principles • Homogeneity and Credibility • Objectives may (often) conflict • “,… balancing of the homogeneity and amount of data in each grouping.” • Abstract guidance

  5. Management Requirements • Arguably, always the starting point • By product versus annual statement line • Personal products versus commercial products • Direct versus assumed business • Voluntary versus involuntary business • Geographic area • Profit center

  6. Operational Practice • Underwriting and Sales • Market channel (independent agent, exclusive agent, direct marketing, …)? • Uniformity across profit center and geographic area by product and/or line of business

  7. Operational Practice • Claims • Approach (third party administrator, distance, face-to face, …)? • Personnel (specialized claims representatives, multiline claims representatives, third party vendors, …)? • Uniformity: across profit center and geographic area by product and/or line of business

  8. Detailed Data • Current technology allows “easy” manipulation of “large” amounts of data • Most refined level contemplated • Summing of separate items “easy” • Cannot decompose

  9. Assumptions • Maximize credibility • Minimize “variation” • Combine “similar” data segments • Combine “dissimilar” data segments • If mix is constant over time • If mix is NOT expected to change

  10. Variation • Development pattern • Percentage accumulation to ultimate • Variation in average time to settlement • Reserve amount

  11. Criteria • Satisfies Management requirements • Directly or indirectly • Available resources adequate • Minimum variation with maximum credibility

  12. Example: Direct Auto Business • Management Requirements • Separate voluntary and involuntary business • Separate personal and commercial lines of business • Separate products within line of business • Separate coverage: • Liability: BI, PD, UMBI&UIMBI, MP • No-Fault • Physical Damage: COMP, COLL

  13. Example: Direct Auto Business • Adequacy of Available Resources • Inadequate • Six Line of Business/Product Combinations • Minimum of Seven Coverage Combinations • Must Consolidate • Allocate After Analysis

  14. Example: Direct Auto Business • Review Magnitude of Miscellaneous Coverages • Insignificant IBNR • Intuitive Approach • UMPD and UIMPD: Combine with PD • Death and Disability: Combine with MP • LOU, Rental: Combine with COMP, COLL

  15. Example: Direct Auto Business • Review Magnitude of Detailed Pieces: Involuntary • Commercial Involuntary in Runoff: Immaterial • Personal Involuntary Rapidly Declining: Insignificant • Remain Separate • Apply Mechanical Process

  16. Example: Direct Auto Business • Review Characteristics • Limit and deductible distributions stable: past and expected • Tort elections stable: past and expected • UM & UIM coverage elections stable: past and expected • Consistent across geographic areas

  17. Example: Direct Auto Business • Review Geographic Segmentation • PA is major state, unique laws: NY is unique, small volume • Same distribution system (independent agents) • Consistent underwriting and claims handling • Countrywide: large volume states similar to Pennsylvania; different states very small

  18. Example: Direct Auto Business • Combination: Commercial Auto • Fleet, Non-Fleet, and Garage • Mix stable: past and expected • Development quite similar except for BI, UMBI, UIMBI

  19. Example: Direct Auto Business • Combination: Commercial Auto BI • Fleet, Non-Fleet, and Garage • Development similar for Fleet and Non-Fleet • Development different for Garage

  20. Example: Direct Auto Business • Combination: Commercial Auto BI

  21. Example: Direct Auto Business • Combination: Commercial Auto BI • Garage proportionately small; stable

  22. Example: Direct Auto Business • Combination: Commercial Auto • Combine Fleet, Non-Fleet, and Garage • Combine for all coverages • Allocate IBNR to products - Management requirement

  23. Example: Direct Auto Business • Combination: Vol Pers Auto UMBI, UIMBI • Intuition: do separately • Development is different

  24. Example: Direct Auto Business • Combination: Vol Pers Auto UMBI, UIMBI

  25. Example: Direct Auto Business • Combination: Vol Pers Auto UMBI, UIMBI • No Management requirement to separate • Resources scarce • Characteristics stable: past and expected • Maximize credibility, minimize “variation”

  26. Example: Direct Auto Business • Combination: Vol Pers Auto UMBI, UIMBI • Development pattern variation • Variation in average time pending • Variation in reserve (Mack)

  27. Example: Direct Auto Business • Combination: Vol Pers Auto UMBI, UIMBI

  28. Example: Direct Auto Business • Combination: Vol Pers Auto UMBI, UIMBI

  29. Example: Direct Auto Business • Combination: Vol Pers Auto UMBI, UIMBI

  30. Example: Direct Auto Business • Combination: Vol Pers Auto UMBI, UIMBI

  31. Example: Direct Auto Business • Combination: Vol Pers Auto UMBI, UIMBI • Combine UMBI and UIMBI • No advantage to separation

  32. Comments • Reliance on visual analysis and intuition • Consider DCC and SalSub

  33. Review • Data at greatest detail • Market channels • Underwriting • Claims • Coverage characteristics

  34. Review • Combine subject to constraints • Management requirements • Available resources

  35. Review • Maximize credibility, minimize variance • Volume • Homogeneity • Variation in development patterns • Variation in average time pending • Variation in reserve (Mack, 1994)

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