1 / 22

Reinsurance Reserving Methods

Reinsurance Reserving Methods. Casualty Loss Reserve Seminar Minneapolis, Minnesota Michael Angelina Tillinghast - Towers Perrin September 18, 2000. Reserving Methods - Bornhuetter-Ferguson. Essentially a blend of LDF method and Expected Loss method

Mercy
Download Presentation

Reinsurance Reserving Methods

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Reinsurance Reserving Methods Casualty Loss Reserve Seminar Minneapolis, Minnesota Michael Angelina Tillinghast - Towers Perrin September 18, 2000

  2. Reserving Methods - Bornhuetter-Ferguson • Essentially a blend of LDF method and Expected Loss method • begins with an a-priori estimate of expected losses • IELR (Initial Expected Loss Ratio) x Earned Premium • splits a-priori estimate into two pieces • expected reported losses = (IEL x % reported) • expected unreported losses(IBNR) = (IEL x % unreported) • replaces expected reported losses with actual reported (case incurred) losses • Restated ultimate loss estimate equals • expected unreported(IBNR) plus actual reported (case incurred)

  3. Bornhuetter-Ferguson Method - an Example

  4. Bornhuetter-Ferguson Method - an Example (Con’t)

  5. Bornhuetter-Ferguson Method - Advantages • Allows for smoothing of results • LDF method understates when case incurred losses are small • overstates if losses are large (ELR may understate in this instance) • Incorporates changes in the environment • attachment point, coverage changes, layer restructuring, price strengthening/deterioration • Balances stability and actual loss emergence • Estimates IBNR when loss activity is sparse • ideal for long tailed lines (umbrella, xs casualty) • redundant for short tailed lines (approximates LDF method) • Reflects potential information found in underwriting files • underlying limits profile; pricing estimate; reporting patterns

  6. Bornhuetter-Ferguson Method - Disadvantages • Reporting pattern • expected percentage reported = 1 / LDF • difficulty in estimating pattern for LDF method also applies here • Initial expected losses • IBNR is directly related to a-priori estimate • double the expected losses ----> double the IBNR • importance of IELR may be lost in the analysis • need to step back and determine % of total IBNR that is loss ratio driven • Ultimate Premium • most recent year may be difficult to estimate • booked premium is probably under-reported due to timing lags • seek underwriting estimate

  7. Bornhuetter-Ferguson Method -Alternative Sources of Initial Expected Losses • Loss Ratio Method (incorporates pricing indices) • Underwriting estimate from pricing study • by definition it is the a-priori estimate • verify that parameters for pricing and reserving are consistent • Increased limits factors and direct premium • may be used if you feel primary company’s higher limits pricing is inadequate • should have been incorporated in pricing study • may also be used for changes in layer and/or attachment point • Stanard-Buhlman estimates • Frequency/Severity estimates

  8. Example of change in layer structuringEffect on IELR

  9. Stanard-Buhlman Estimate • Essentially the Bornhuetter-Ferguson estimate with “on average” perfect information • Uses actual loss ratio indices multiplied by average loss ratio • incorporating loss trend and pricing changes • Balances the expected average loss ratio so that: • expected reported losses = actual reported losses

  10. Stanard-Buhlman - an Example

  11. Stanard-Buhlman - an Example (continued)

  12. Stanard-Buhlman - an Example (continued)

  13. Stanard-Buhlman - Bornhuetter-Ferguson Method (continued)

  14. Frequency Based Method - Basic Steps - Including Policy Limit Impact • Estimate the annual number of claims above the data limit • 37.5 claims greater than$150,000 • Use size of loss curves to project the number of claims above the reinsurance retention • 11.3 (of 37.5claims) greater than $300,000 • Use size-of-loss curves to project average severity of claims in reinsurance layer • $239,751 average severity of claims in $700,000 excess of $300,000 layer • Multiply the frequency and the severity projections to estimate the total ultimate losses • Incorporate frequency/severity estimate into Bornhuetter-Ferguson method

  15. Frequency/Severity - Estimate of claim counts above data limit

  16. Frequency/Severity - Estimate of claim counts above data limit (Con’t)

  17. Frequency/Severity - Estimation of excess losses using pareto distribution

  18. Frequency/Severity - Bornhuetter-Ferguson Method

  19. Recap of Methods - Ultimate Loss and ALAE

  20. Recap of Methods - Ultimate Loss and ALAE Ratios

  21. Final Selection of Ultimates Rules of Thumb • LDF Method for older more mature accident / policy periods • look at LDF / percentage reported and determine maturity • umbrella vs. Auto Physical Damage • Loss Ratio for less mature, newer accident / policy periods • most recent or two most recent • Bornhuetter Ferguson or Stanard Buhlman anywhere in between • requires some judgment • GL, umbrella, excess casualty • Frequency/ Severity similar to loss ratio • better estimate than loss ratio when L/R is unreliable • high layers, single treaties

  22. Other Thoughts • Look for trends, stability, shocks • are they reasonable ? • Communicate with the underwriting and claims departments • good fodder for next underwriting audit or pricing season • Gather knowledge on reserving philosophy (level of ACRs) • make adjustments where necessary to benchmarks • How to handle new lines of business with no history • benchmarks, underwriting files, actuarial pricing analysis • Incomplete underwriting year • ultimate loss & ALAE ratio using ultimate premium • apply to estimated earned premium • Difficult Coverages (Aggregate XS covers, deductibles, reinstatements) • requires modeling of underlying exposures.

More Related