How To Get The Biggest Bang $$ CAS Spring Meeting May 17, 2004

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How To Get The Biggest Bang

For Your Reinsurance

$$

CAS Spring Meeting

May 17, 2004

Moderator: Karen Pachyn, Sr. V.P., & Chief Actuary

GE Reinsurance Corporation

Panelists: Michele Bernal, Chief Actuary – Direct Treaty

American Re-Insurance Company

Daniel Carberry, V. P.

Benfield, Inc.

1

How to Get the Biggest Bang for Your Reinsurance Buck

• Make Sure Your Reinsurer Understands What’s Happening

With Your Business

Give Him/Her Data to Demonstrate It

2

Discussion Topics

• General Issues Given Where We Are in the Market

Importance of Price Monitoring

Loss Development Issues

• Line of Business Issues

Umbrella

Work Comp

Contractors/Construction Defect

Property

Special Issues Surrounding Cat and Terrorism Exposures

3

General Issues

• Reinsurers Use Two Basic Pricing Approaches

Experience Rating

Exposure Rating

Also Want to Know Current/Projected Rates

4

General Issues

• Reinsurers Rely Heavily on Historical Data

How Does This Compare to Your Going Forward Book

In Hard Market, Favorable Changes Made

May Not Be Evident in Standard Data Request

Help Reinsurer Understand These Changes

What Were They

How Will They Impact Your Loss Ratio

What Data Can You Provide to Support That

5

General Issues

• Common Changes in Hard Market

We No Longer Write in State X

Provide Data by State

We Cancelled a Bunch of Agents

Provide Data for Those Agents Vs. Others

Explain Why Business Won’t Just Go to Agent Across the Street

We Got Out of Classes of Business

Provide Data With and Without Those Classes

Why Those Classes?

Prove It Wasn’t Just Bad Luck That Caused the Classes to Be Bad

We’ve Changed Our Underwriting Standards

What Changes Were Made

What Percent of the Business Do They Impact

Why and How Will That Improve the Loss Ratio

6

General Issues

How to Get the Reinsurer to REALLY Buy Into What You Are

Telling Them

Give Them a History of at Least 5 to 6 Years, Not Just Last Year

Vs. This Year

Provide Premium PLUS Loss Data

Have Direct Actuarial Discussions

Make Sure the Data Ties to Other Exhibits/Balances/Makes Sense

7

Importance of Price Monitoring

8

Importance of Price Monitoring

• Cleanest Is Filed Manual Rates in One Company

Ideally Filed Rate Changes

Changes in Loss Costs, Loss Cost Multipliers

Deviations off Rates?

Inflation Sensitive Exposure Base?

Changes in TIV?

9

Importance of Price Monitoring

• Complications

A-Rated Business

Non Admitted Carrier

Tiered Rate Levels – Multiple Companies

10

Importance of Price Monitoring

• A Good Price Monitoring System:

Measures Premiums Charged Year Over Year

Adjusts for Changes in Number of Exposure Units

-

Adjusts for Changes in Limits, Deductibles, SIR’s, Etc.

Adjusts for Changes in Coverage

Captures a Significant Portion of Renewals

Measures New

11

Importance of Price Monitoring

• Price Monitoring Example:

Renewing Prem. Expiring Prem. Price Change

All Policies $ 30,450,000 $ 24,975,000 22%

Policies w/ Eq. Terms 21,125,000 18,500,000 14%

Exposure Base 20,950,000 23,145,000

Price Per Exposure 1.453 1.079 35%

12

Importance of Price Monitoring

• Price Monitoring

Best Approach – Rerate This Year’s Policy at Last Year’s Rates

Captures Changes in Limits, Exposures, Etc.

Way to Measure New Business

Time Consuming – Automated

If Debits or Credits Judgmental, How Do You Accurately

Capture That?

13

Loss Development Issues

• Reserving Cycle

• Nature of Large Losses

14

Loss Development Issues - Reserving Cycle

• Increases in Incurred Loss Development

• Big Question : What Will Development Be in the Future?

• Three Possibilities:

Higher? – Maybe the Higher Development Is Due to Increased Inflation – Case Reserves Are Just

Barely Keeping Up, and Incurreds Will Increase

More in the Future

Lower?

– Our Reserves Are Much Stronger Than

They’ve Been in the Past, So Future Development

Will Be Less

Somewhere in Between? – If So, Where?

15

Loss Development Issues - Reserving Cycle

How Do You Know?

What Can You Do?

What Will Your Reinsurer Do??

16

Loss Development Issues – Reserving Cycle

• How Strong Are the Reserves?

- Provide Triangles of Paid/incurred Ratios

- If Reserves Are Stronger Than Historical, Ldf’s Can

Be Adjusted Downward

Are Losses Being Distorted by Timings of Claims

Closings or an Increase in Settlements?

- Provide Triangles of Closed Claims and Reported

Claims to See % of Claims Remaining to Be Closed

- If More Claims Closed Than Historical, Tail Can Be

Reduced

Is It Inflation or Just Reserve Strengthening?

- Provide Paid or Closed Losses/closed Claims

17

What About Large Claims?

18

Loss Development Issues – Large Claims

• Important to Understand Differences Between How

Small and Large Claims Are Reserved

Different Department?

Are Initiatives That Impact Aggregate Losses

Impacting the Large Losses in the Same Manner?

19

Loss Development Issues – Large Claims

• Leveraged Impact of Development on Excess Losses - WC

Primary vs Reinsurer

(Source: RAA / AM Best)

100%

80%

60%

40%

20%

0%

1 2 3 4 5 6 7 8 9 10

Report Period (Years)

Primary Reinsurer

20

Loss Development – Large Claims

Variations in Excess Development

Work Comp – 500k X 500k

6.00

5.50

5.00

4.50

4.00

3.50

3.00

2.50

2.00

1.50

1.00

36 48 60 72

Months of Development

84

--- Harmonic Mean --- 75th %ile

96

21

Loss Development Issues – Large Claims

What Can I Do?

Important to Track Large Claim Data at Historical

Valuations

E.G., Each Year-end Since Reported.

• Reinsurer Can Build Loss Development Triangles for On-level Excess Losses

22

Line of Business Issues

23

Line of Business Issues - Excess and Umbrella

• Historical Experience

Loss Listing

Umbrella Limits Associated With Loss

Underlying Limits

Line of Business

Underlying Carrier

Signal Reserves Vs. Other

Most Recent Evaluation As Well As Prior Evaluations

24

Line of Business Issues - Excess and Umbrella

• Historical Experience

Premium Trends – Want to Get Full Credit for Big Increases!

From Price Monitoring

Support for Trends

Minimum Premiums – When and How Much

Auto Unit Rate Changes

Factors for First Million As % of U/L

Factors for Subsequent Millions

Credits or Debits Allowed

Handling of Underlying Rates

Trends in Underlying Rate Levels

Average Premiums Per Million Changes

Admitted Vs. Non Admitted

Current and Future Rate Levels & Strategies for Achieving

25

Line of Business Issues - Excess and Umbrella

• Historical Experience

What Else Is Different Today Vs. Yesterday

Attachment and Limits Point Profiles – Current and Historical

Mix of Supported Vs. Unsupported

Type of Risks in Portfolio

26

Line of Business Issues - Excess and Umbrella

• More on Limits Profiles

Matrix Format

Attachment Point 1000 2000 3000 4000 5000 10000 Total

300 5% 5%

500 8% 12% 20%

1000 43% 15% 7% 5% 3% 2% 75%

Total 56% 27% 7% 5% 3% 2% 100%

27

Line of Business Issues - Excess and Umbrella

• More on Limits Profiles

Individual Policy Listing

Insured U/L Carrier U/L Limits X/S Limits CC’s Share LOB

Krispy Crunchies Feelings Mut. 5000 25000 10% Auto

Colorado Dreams ABC Ins. Co. 1000/2000 5000 100% Prod.

• • • • • • •

• • • • • •

• • • • • •

• • • • • •

28

Line of Business Issues – Workers Comp

• Are Claims “Discounted”?

They All Are

Medical Inflation Is Not Contemplated

Mortality Tables in Stat Plan Have State-specific

Discount

Discount for Reduced Life Expectancy

Most Claims People Aren’t Aware of This

“Discount”

The Difference in Reserve Levels Is the Degree of

“Discount”.

29

Line of Business Issues – Workers Comp

• Impact of Settlements

- Some States More Accommodating

- Some Companies More Aggressive

- Paid Development Up

- Incurred Development Down

• Provide # of Settlements and Size by Year

- Reinsurer Can Adjust Tail Downward

30

Line of Business Issues – Workers Comp

• Benefit Changes Impact Different Claims Differently

California

AB749 – Significant Increases in Permanent Total

Benefit Levels

SB899 – Significant Savings in Aggregate Losses and Average Medical Losses; Impact on Severe

Claims Uncertain

Net Effect on XS Loss Rates?

• Separation of Data Between Medical, Indemnity and

ALAE Can Improve Accuracy of Projections on a 1 st

Dollar Basis.

31

Line of Business Issues – Workers Comp

• Premium Issues

- Treatment of Retro Premiums

Prior Year AP’s Usually Included in Current Year EP

Provide Estimate of Historical & Prospective

Adjustments, or

Use Standard Premium As a Subject Base?

Make Sure Contract Wording Is Clear

- Treatment of Audit Premiums

- Treatment of Dividends

32

Line of Business Issues – Contractors

• Important to Track Historical Timing of

Changes in Forms

• Helpful If Claims Not Covered Under New

Forms Could Be Identified

33

Line of Business Issues - Property

• Special Considerations for Excess Per Risk Covers

Exposure Rating

PSOLD Expects Limits to Be Building and Contents Only

Limits Should Be on a Per Location Basis

Excess??

34

Data And Property Catastrophe

Reinsurance Pricing

35

Data And Reinsurance Pricing

Agenda

Catastrophe Reinsurance Pricing Overview

• Loss Variability

• Terrorism Coverage Considerations

Conclusions

36

Catastrophe Reinsurance

Pricing Overview

37

Catastrophe Reinsurance Pricing

Basic Pricing

Premium = Modeled Pure Premium To Layer +

Factor Of Standard Deviation

• Capital Allocation, Return On Equity At PML Level

Dependent On Modeling

38

Catastrophe Reinsurance Pricing

Other Considerations

Existing Capacity By Region

• Loss Experience

• Lead Markets

Prevailing Rate On Line For Business Segment

• Quality Of Data Available

Reinsurer Will Make Conservative Assumptions

39

Catastrophe Reinsurance Pricing

Data Typically Provided To Reinsurers

Model Inputs And Outputs

• UNICEDE Data

• Modeling Summary

Explanation Of Changes From Previous Year

Narrative On Expected Changes Going Forward

• Catastrophe Loss Experience

40

Loss Variability

41

Loss Variability

Catastrophe Models

Three Widely Accepted Models Used In The

Insurance Industry

• All Produce Different Results

Models Change

• Reinsurers Are Using All Of Them

Catastrophe Models Are Not Good At Checking

Validity of Data

42

Loss Variability

Data Quality

Aggregate Vs. Policy Level

• Street Address Vs. Zip Code

Personal: 90%+ Street Address

Commercial: 50-75% Street Address

Automobile: Almost Always ZIP Code Aggregate

• Use Of Unknowns

Construction, Occupancy, Year Built, Number Of Stories

43

Loss Variability

Data Quality

Application Of Deductibles

• Insurance To Value And Guaranteed Replacement Cost

Data As Of Date

44

Loss Variability

Data Quality

All Data Captured?

• Inclusion Of Facultative Or Surplus Share Data

Bulk Coding Of Commercial Locations

• Number Of Buildings

Scheduled Property (Inland Marine)

45

Loss Variability

Other Factors

Demand Surge

• Storm Surge

Allocated Loss Adjustment Expenses

• Law/Ordinance Coverage

Inuring Reinsurance

46

Terrorism Considerations

47

Terrorism Considerations

Data Available

Property Data – Usually Available From Catastrophe

Modeling Exercise

• Worker’s Compensation Data – Harder To Collect

At Useful Level Of Detail

• Object Is To Evaluate Exposure To Clash Loss

48

Terrorism Considerations

Tools Available

Accumulation/Concentration Analyses

• Probabilistic Models

Deterministic Models

49

CONCLUSIONS

50

Conclusions

Technical Considerations

Data Quality And Models Used Affect Catastrophe

Loss Estimates

• Catastrophe Loss Estimates Are The Foundation Of

Reinsurance Pricing

51

Conclusions

Non-technical Considerations

Prevailing Market Conditions Matter

• Quality Of Data Affects Confidence

Quality of Data Can Differentiate You In The Market

Reinsurers Will Deploy Capacity Where They Are Most

Comfortable

Good Data Demonstrates You Know Your Exposure

52

Conclusions

What Should You Do?

Review Data Capture Regularly

• Make Front End Systems Easy For User

Data Programmer Should Understand Exposure

• Involve Catastrophe Modeler In The Data Process

Maintain Controls Across The Process

Control Totals

Modeling Assumptions

53

Conclusions

What Should You Do?

Provide Data For Revised Underwriting Guidelines

Deductibles

Geographic Restrictions And/Or Growth

Run Multiple Models Periodically

• Consider Mid-Year Reinsurance Rate Adjustment

Eliminate As Many Questions As Possible

54

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