CAS RPM SEMINAR · 2015-03-13 · Rating Variables Relative Competitive Importance Degree of...
Transcript of CAS RPM SEMINAR · 2015-03-13 · Rating Variables Relative Competitive Importance Degree of...
CAS RPM SEMINARSmall Business Rating Plans: Challenges & Innovations
© 2015 Towers Watson. All rights reserved.
Chris McKenna, FCAS, MAAA
March 11, 2015
Proprietary and Confidential. For Towers Watson and Towers Watson client use only.
Overview
BOP Industry Trends
Rating Plans
Underwriting Approaches
Competitive Analysis
Qualitative
Quantitative
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Proprietary and Confidential. For Towers Watson and Towers Watson client use only.
Survey Question #1: What is the average premium for a BOP policy?
A. Less than $2,000
B. $2,000 - $4,000
C. $4,000 - $6,000
D. $6,000 - $8,000
E. More than $8,000
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BOP Industry Trends
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Survey Question #2: Which of the following aspects do companies feel the most competitive pressure for rating/writing BOP risks?
A. Classification rating
B. Liability exposure bases
C. Developing underwriting tiers
D. Introduction of business owner characteristics
E. Increased automation at the point of sale (i.e., no touch by underwriters at point of sale)
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Introducing tiers into manual rates, which incorporates new variables (including business owner characteristics); this allows for increased rate segmentation and increases in consistency/objectivity
Incorporation of UW info into rating plan
Allowing greater rate segmentation across class codes and other rating aspects, including amount of insurance (AOI) curves and age of building
Increased rate refinement across classes of business
Using a separate rating algorithm for liability that uses liability-specific exposure bases for all market segments
Expanding approach to liability rating
Adopting market-centric approach, which allows for greater ease of monitoring, analyzing and changing rates by market segment (office, retail, habitational, etc.).
Adoption of market segmentation focus
Developing a more efficient approach to verifying risk info (including external data sources); triage risks for appropriate level of underwriter review (no touch / light touch / heavy touch)
Improve automation at point of sale
As competition intensifies, companies are increasing the sophistication within their BOP rating plans
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Example — Underwriting (profit) scoring models
• Profitability scoring models rank risks according to the profitability underlying current rates
• Model predictors can include existing rating variables and/or new underwriting information (internal or external data)
Raw ScorecardLoss Control Company Size
Yes 0 Small 0
No 7 Medium 9
Large 6
Claims
0 -3 Policy Tenure
1 +5 New 12
2 15 1 7
3+ 20 2 4Scoring rules generated from expected
losses from the final models.
Score
< 20
20 – 25
26 – 30
31+Cumulate rules to generate
policy level scores
Score Factor
< 20 0.90
20 – 25 1.00
26 – 30 1.05
31+ 1.20Derive score factors through
modeling techniques
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Underwriting scores can be used in a variety of ways
• Accept/Reject/Refer
• Tiers with a relatively small (e.g. 3) or large (e.g. 50+) number of price points
• Schedule rating guidance
• Combinations of the above
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Illustrative underwriting (profit) score
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0
2
4
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12
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20
-0.5
0
0.5
1
1.5
2
2.5
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Score
Relativity = 0.35
Relativity = 3.0
Relativity = 1.0break-even without score
Underwriting Score
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Accept/Reject Scoring
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0
2
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12
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-0.5
0
0.5
1
1.5
2
2.5
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Score
Relativity = 1.5
at Score = 40
Accept Reject
Underwriting Score
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Tiers
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0
2
4
6
8
10
12
14
16
18
20
-0.5
0
0.5
1
1.5
2
2.5
3
Score
Tier #2 = 1.0
Tier #3 = 2.0
Tier #1 = 0.4
Underwriting Score
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Schedule Rating
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0
2
4
6
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10
12
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-0.5
0
0.5
1
1.5
2
2.5
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Score
Debit
Max 25% CreditMax 25% Debit
Credit1.0
Underwriting Score
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Tiering with schedule rating
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Score
25% Debit
Tier #1 = 0.4
Tier #2 = 1.0
Tier #3 = 2.0
25% Credit
25% Credit
Tiering
Schedule Rating
Underwriting Score
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Survey Question #3: What percentage of BOP risks are written without any underwriter “touch” or schedule rating adjustment?
A. Less than 20%
B. 20 – 40%
C. 40 – 60%
D. 60 – 80%
E. More than 80%
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Increased rating plan sophistication can improve process flow and allow for better underwriter utilization
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With increased confidence in rating plan, company’s underwriting resources can be better allocated
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# of Policies % of Risks w/ IRPM
Premium Size (per policy)
2,197
3,188
1,922
1,202
675
1,300
1.0%3.5%
8.2%
15.9%
38.0%
72.0%
0.0%
10.0%
20.0%
30.0%
40.0%
50.0%
60.0%
70.0%
80.0%
-
500
1,000
1,500
2,000
2,500
3,000
3,500
< 1,000 1,000 - 1,999 2,000 - 2,999 3,000 - 3,999 4,000 - 4,999 > = 5,000
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Competitive Market Analysis (CMA) – Qualitative
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Insurers use various approaches to CMA — we will consider qualitative and quantitative
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High Degree of Sophistication
Low Degree of Sophistication
CMA: Qualitative Rate Analysis
Company Statistics
Competitor Rate and Product Changes
Agent Feedback
CMA: Quantitative RateAnalysis
CMA: Product Analysis
These options are not mutually exclusive —different approaches can be used in combination
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A qualitative rating plan analysis may identify key strengths, gaps and enhancement priorities of your BOP rating plan
Qualitative Rating Plan Analysis
Finalize project planning and
launch project
Step 1
Collect competitive information
Step 2
Prepare and deliver report
of findings
Step 4Step 3
Conduct competitive
analysis
Select target (and backup) state for data collection
Agree on target competitors and determine relevant writing companies
Gather rating plans and related filings for target competitors from departments of insurance websites, or third-party vendors
Confirm/ensure collection of latest company filings May need to reach
beyond target state
Summarize and document findings and conclusions Key strengths and
weaknesses of BOP rating plan and recommended priority enhancements
Detailed comparison of rating plan components
Review findings/ recommendations with all key stakeholders
Evaluate each major rating variable based on degree of segmentation As relevant, range of
individual price points and range of factors
Develop supplemental assumptions to fill gaps, as necessary
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A qualitative analysis includes review of each rating variable, organized by category
Variable Type/Category Coverage Rating algorithm, exposure bases, limits, deductibles
Territory Building-related variables Construction type, protection class, sprinkler credit, age of building
Insured-related variables Market segment, class of business, number of locations Years in business, claim history, payment history, credit score
Insurance score/ tier Additional rating mechanisms Schedule rating Experience rating
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0.50
0.60
0.70
0.80
0.90
1.00
1.10
1.20
1.30
0 5 10 15 20 25 30 35 40 45 50
Company ABCCompetitor 1Competitor 2Competitor 3
Age of building: there is a wide variety of approaches to rating for the newest buildings
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Building Age (Years)
Factor Age of Building Relativity
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0.80
1.00
1.20
1.40
1.60
1.80
2.00
2.20
2.40
1 2 3 4 5 6 7 8 9 10
Company ABCCompetitor 1Competitor 2Competitor 3Competitor 4
Protection class: Company ABC has a significantly wider range of relativities than its competitors
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Protection Class
Relativity Protection Class Relativity
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Amount of Insurance (AOI): Companies use different approaches to AOI curves
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0
20
40
60
80
100
120
Amount of Insurance
$3 million$2 million$1 million
Relativity Amount of Insurance — Building
Note: Factor is based on the rate at each AOI divided by the rate at AOI of $25,000, which is assigned a factor of 1.0.
Competitor 2
Company ABC
Competitor 3
Competitor 1
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In its territorial rates, one of Company ABC’s competitors distinguishes between the east and west of Iowa and between urban, suburban and rural zip codes
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A qualitative rating plan analysis highlights important competitive gaps that may impede profitable growth
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Rating Variables
Relative Competitive Importance
Degree of Segmentation
Company ABC Competitor 1 Competitor 2 Competitor 3
Overall rating approach
Territory
Building-related
Insured-related
Additional rating mechanisms
Overall
Very HighMediumLow HighN/A Key Gap =
Summary Comparison of Rating Sophistication by Category
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Competitive Analysis – Quantitative
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The quantitative CMA focuses on actual pricing for a sample of risks (based on rating algorithms in competitors’ rate filings)
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Quantitative Rating Plan Analysis
Finalize project planning and
launch project
Step 1
Developalgorithm alignment
Step 2
Prepare and deliver report
of findings
Step 4Step 3
Create input database
Collect competitive information
GenerateCompany ABCand competitor
premiums
Step 5 Step 6
Agree on target state for analysis
Agree on target competitors and writing companies Ideally, competitors will
be those selected for the qualitative analysis
Agree on industry target segments and define sample risk profiles
Create competitor algorithms in Excel or other software based on rule/rate manuals to generate premiums
Create database of all necessary rating information
Agree on assumptions/approach for populating variables that competitors use and for which Company ABC does not collect data
Summarize and document findings and conclusions, e.g.: Detailed summaries
of competitive position by segment
Types of risks for which Company ABC is most likely to have a higher or lower price than the competitors
Recommended enhancements
Review findings/ recommendations with all key stakeholders
Generate premiums for sample risks identified in Step 1 using input database
Create charts to display the premiums for all sample risks
Present initial results to actuarial and/or underwriting for review/feedback
(Optional) Present initial results to a handful of agents for feedback/validation
Gather rating plans and related filings for target competitors It is likely that the
materials gathered for the qualitative rating plan analysis will be sufficient
However, you may need to obtain external/competitor information on certain rating variables not used by Company ABC
Develop alignment of competitor algorithms with Company ABC
Validate results with competitor filing information (as available)
Note: Final alignment will be used as input into Steps 4 and 5
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A quantitative CMA will compare Company ABC premiums to competitors’ premiums on a defined customer dataset for a selected state(s)
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524
142 130
797
523
252 285
710
15255
1,060
917
$0
$200
$400
$600
$800
$1,000
$1,200
Building Contents Liability* Total
Company ABC
Competitor 1
Competitor 2
BOP Average Premiums
CoverageBeware of potential inherent bias in using current policy mix of business
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The quantitative CMA will compare pricing by rating factor/segment
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0
100
200
300
400
500
600
700
800
900
0.75
0.80
0.85
0.90
0.95
1.00
1.05
1.10
1.15
1.20
1.25
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31+
Policy Count
Relativeto Market
building age (upper bound)
Rate Competitiveness by Building Age
Policy Count Relative to Market Market Average
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A quantitative CMA will compare Company ABC’s price to each competitor for the sample of risks
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% of risks where Client price is 20% or more below the competitor
% of risks where Client price is 20% or more above the competitor
BOP Example – Relative Competitiveness
13%
43%
45%
31%
40%
50%
56%
17%
5%
0% 20% 40% 60% 80% 100%
Company 3
Company 2
Company 1
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