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Introduction to Experience Rating Kyle Vrieze, FCAS Senior Vice President, Willis Re CAS Ratemaking Seminar Cambridge, Massachusetts March 17, 2008.

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Presentation on theme: "Introduction to Experience Rating Kyle Vrieze, FCAS Senior Vice President, Willis Re CAS Ratemaking Seminar Cambridge, Massachusetts March 17, 2008."— Presentation transcript:

1 Introduction to Experience Rating Kyle Vrieze, FCAS Senior Vice President, Willis Re CAS Ratemaking Seminar Cambridge, Massachusetts March 17, 2008

2 Acknowledgement Thanks to Tice Walker for authoring the original presentation.

3 What is Experience Rating? An Example Some Preliminaries Some Calculations Pulling It All Together Advantages / Disadvantages Questions? Agenda

4 What is experience rating? Method of estimating prospective treaty loss costs using historical client experience. Subject Premiums Subject Claims

5 Preliminaries Terms of Subject Business $100k xs $100k Losses Occurring basis LAE is pro-rata Estimated Subject EP = $40M Information provided Historical Premium, adjusted to prospective earned rate level Premises Liability only, Table 1 List of individual claims, Loss greater than $50k, plus ALAE, each at successive annual evaluations An Example

6 Some Calculations Historical Experience An Example Note: Fictitious data – for illustration only

7 Some Calculations Historical Experience An Example Note: Fictitious data – for illustration only

8 Some Calculations Historical Experience An Example Note: Fictitious data – for illustration only

9 Some Calculations Historical Experience An Example Note: Fictitious data – for illustration only

10 Some Calculations Historical Experience An Example Note: Fictitious data – for illustration only

11 Pulling It All Together Projected Burn Cost An Example Note: Fictitious data – for illustration only

12 Pulling It All Together Other Thoughts Do frequency and severity trends vary by size of loss? What about excess/umbrella, SIR or large deductible policies? An Example

13 Pulling It All Together SIR, Umb, etc. An Example Note: Fictitious data – for illustration only

14 Pulling It All Together Other Thoughts What about excess/umbrella, SIR or large deductible policies? Is this method only applicable to reinsurance? An Example

15 Advantages / Disadvantages Advantages Reflects client’s actual layer experience Works best with high frequency layers Data may be adjusted to reflect current exposures

16 Advantages / Disadvantages Disadvantages Requires lots of data Changes in limits (drift?) and exposures may reduce credibility of historical experience Projections can vary wildly due to small number of claims Free Cover

17 Questions? In preparing this Presentation, Willis Re has relied upon data provided by external data sources. No attempt has been made to independently verify the accuracy of this data. Willis Re does not represent or otherwise guarantee the accuracy or completeness of such data, nor assume responsibility for the result of any error or omission in the data or other materials gathered from any source in the preparation of this Presentation. Willis Re shall have no liability in connection with results stemming from the analysis including but not limited to any errors, omissions, inaccuracies, or inadequacies associated with the data. Willis Re expressly disclaims any and all liability to any third party in connection with this Presentation. In preparing this Presentation, Willis Re has used procedures and assumptions that Willis Re believes are reasonable and appropriate. However, there are many uncertainties inherent in actuarial analyses. These include, but are not limited to, issues such as limitations in the available data, reliance on client data and outside data sources, the underlying volatility of loss and other random processes, uncertainties that characterize the application of professional judgment in estimates and assumptions, reinsurance collectability, etc. Ultimate losses, liabilities and claims depend upon future contingent events, including, but not limited to, unanticipated changes in inflation, laws, and regulations. As a result of these uncertainties, the actual outcomes could vary significantly from Willis Re’s estimates in either direction. Willis Re makes no representation about and does not guarantee the outcome, results, success, or profitability of any insurance or reinsurance program or venture, whether or not such program or venture applies the analysis or conclusions contained herein. Please consult your own independent professional advisors before making any decisions related to any information contained herein. This Presentation is provided for informational purposes only; it is not intended to be relied upon, and is not intended to be a complete actuarial communication. A complete communication can be provided upon request. Willis Re actuaries are available to answer questions about this Presentation. The statements and opinions included in this Presentation are those of the individual speakers and do not necessarily represent the views of Willis Re or its management.


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