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Introduction to Experience Rating

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Presentation on theme: "Introduction to Experience Rating"— Presentation transcript:

1 Introduction to Experience Rating
Munich Re Introduction to Experience Rating Tice R. Walker, FCAS, MAAA Vice President, Munich Reinsurance America, Inc. CAS Ratemaking Seminar Atlanta, Georgia March 8, 2007 13/09/2018

2 Agenda What is Experience Rating? An Example
Munich Re Agenda What is Experience Rating? An Example Some Preliminary Stuff Some Calculations Pulling It All Together Advantages / Disadvantages Questions? Questions at any time, not just the end. 13/09/2018

3 What is experience rating?
Munich Re What is experience rating? Method of estimating prospective treaty loss costs using historical client experience. Subject Premiums Subject Claims “Subject” meaning as defined by the treaty. 13/09/2018

4 Some Preliminary Stuff
Munich Re An Example Some Preliminary Stuff 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 Loss Occurring versus Risks Attaching Pro-rata versus Part-of-Loss Prospective Earned rate level versus Current rate level 13/09/2018

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

6 Some Calculations Historical Experience
Munich Re An Example Some Calculations Historical Experience Does the math work as you move from left to right? What about 2005 and 2006? Note: Fictitious data – for illustration only 13/09/2018

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

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

9 Some Calculations Historical Experience
Munich Re An Example Some Calculations Historical Experience New claims are in bold Note: Fictitious data – for illustration only 13/09/2018

10 Pulling It All Together
Munich Re An Example Pulling It All Together Projected Burn Cost How are XS LDFs calculated? Note: Fictitious data – for illustration only 13/09/2018

11 Pulling It All Together
Munich Re An Example Pulling It All Together Other Thoughts Can I apply trend and development in a different order? Do frequency and severity trends vary by size of loss? What about excess/umbrella, SIR or large deductible policies? Is this method only applicable to reinsurance? Think so. All the algebra works, but it would require much more data manipulation. Aggregate XS trend, that reflects policy limits? LDFs My example implicitly assumes trends do not vary. Impact of WC reforms What about Indemnity vs expense? Do they trend differently? How does trend affect claims the farther away from the ground? NEXT SLIDE 13/09/2018

12 Pulling It All Together
Munich Re An Example Pulling It All Together SIR, Umb, etc. Describe difference in treatment. Supported vs. Unsupported Relative Attachment vs. Absolute Attachment Note: Fictitious data – for illustration only 13/09/2018

13 Pulling It All Together
Munich Re An Example Pulling It All Together Other Thoughts Can I apply trend and development in a different order? Do frequency and severity trends vary by size of loss? What about excess/umbrella, SIR or large deductible policies? Is this method only applicable to reinsurance? Can also be used for individual risk, large accounts, ELR 13/09/2018

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

15 Advantages / Disadvantages
Munich Re 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 The more data we have, the more credible the indication If the drift is gradual, similar to severity trend, one could not cap claims at historical limits. (Be mindful of on-leveling premium to reflect changes in limits being purchased.) Low frequency layers have less credibility This happens if the layer being rated has no trended claims that burn all the way through the layer - layer is not fully exposed x 250 layer with a maximum trended claim of 650 => 350 of free cover, only 400 of 750 is exposed. 13/09/2018

16 Questions? Questions? © Copyright 2007 Munich Reinsurance America, Inc. All rights reserved. The Munich Re America name is a mark owned by Munich Reinsurance America, Inc. The material in this presentation is provided for your information only, and is not permitted to be further distributed without the express written permission of Munich Reinsurance America. This material is not intended to be legal, underwriting, financial, or any other type of professional advice. Examples given are for illustrative purposes only.


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