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Managing a Company in a Soft
Market
March 13, 2006
Michael Fusco, FCAS, MAAA
Executive Vice President and Chief Actuary
CNA Insurance Companies
Managing a Company in a Soft
Market
The Role of the Actuary
Determine and maintain adequate rates and rating plans
Project appropriate reserves
Monitor and communicate how the business is performing
Make decisions based on analytics
Stochastic modeling (e.g. catastrophe management, confidence levels)
Provide consistent, objective indications
2
Managing a Company in a Soft
Market
Illustrative Planning Assumptions
2005 GWP
Retention
Written Rate
Exposure Change
2006 Renewal GWP
2006 New Biz GWP
2006 GWP
4,000
75.0%
3.0%
2.0%
3,150
1,050 25.0%
4,200
GEP
L&ALAE
Expenses
U/W Profit
2006
4,100
2,540 62.0%
1,435 35.0%
125 97.0%
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Managing a Company in a Soft
Market
The Trade-off between Retention and Rate
100
12
95
10
90
8
85
6
80
4
75
2
70
Change in U/W Profit (millions)
Increase in GEP (millions)
Impact of a 5 Pt Increase in Retention vs. Various Reductions in Rate
0
0
-0.0025
-0.005
-0.0075
65
-0.01
-2
Reduction in Rate
Increase in GEP
Change in U/W Profit
4
Managing a Company in a Soft
Market
Not All Lines of Business are Impacted Equally
Reduction in Rate which Negates a 5 Point Increase in Retention
67% LR
62% LR
57% LR
52% LR
0%
-1%
-2%
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Managing a Company in a Soft
Market
Deviation from Manual Rate
Manual Rate
External source (e.g. ISO, NCCI)
Internal source such as “actuarial indication” for loss-rated business (e.g. Large Accounts, Med Mal)
Deviations
At the underwriter’s discretion (e.g. underwriting tier, schedule credits/debits, package mods)
Excludes loss cost changes, experience mods
Metrics to Monitor
Renewing vs. expiring deviations
New business vs. renewal deviations
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Managing a Company in a Soft
Market
Examples of DFM Monitoring Tools
Spread in Deviation
0.2
0.1
0
-0.1
-0.2
1Q
02
2Q
02
3Q
02
4Q
02
1Q
03
2Q
03
3Q
03
4Q
03
1Q
04
2Q
04
3Q
04
4Q
04
1Q
05
2Q
05
3Q
05
4Q
05
Effective Quarter
Renewing vs. Expiring
Note: Data is for illustrative purposes only.
New vs. Renewal
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Managing a Company in a Soft
Market
Price-to-Exposure Analysis – Multivariate
Increased computing power makes multivariate analysis more practical
Personal Lines to Small Commercial Accounts to . . .
Statistical testing of “Underwriting Lore”
Avoid mistakes made in prior soft markets
“Moneyball”
Joint effort with Underwriting, Claims, and Risk Control
Data quality and quantity relevant
Need to capture deeper level detail accurately
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Managing a Company in a Soft
Market
Underwriting (Non-Rate) Effects
Actuary has responsibility to quantify such and reflect appropriately in the loss ratio
Examples of Non-Rate Effects
Implementing predictive model based on multivariate analysis
Shifts in portfolio mix (portfolio optimization)
Exit portion of the book (e.g. state, industry group, class)
Changes in Coverage (e.g. reduced limits, endorsements limiting coverage)
Monitors must be put in place to verify such actions are occurring as predicted
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