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What makes an Airline attractive to Insurers? Olivier Marre, SVP Aviation Insurance RAASI Conference Moscow December 9 th 2009 A member of the Max Capital Group B E R M U D A I R E L A N D U N I T E D S T A T E S

What makes an Airline attractive to Insurers? Olivier Marre, SVP Aviation Insurance RAASI Conference Moscow December 9 th 2009 A member of the Max Capital

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What makes an Airline attractive to Insurers?

Olivier Marre, SVP Aviation Insurance

RAASI Conference

Moscow December 9th 2009

A member of the Max Capital Group B E R M U D A I R E L A N D U N I T E D S T A T E S

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Insurers are not passengers

Main passenger attraction factors are not key to risk assessment

Price of the tickets Flight schedules In flight services

Some other factors are more informative

Flight cancellations On time performance

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Insurers are not investors

Investors key ratios are not as critical to insurers

Cost structure Cash available Profitability

Some other elements represent more valuable information but could have different reading

Growth plans Fleet development

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What insurers want ?

Insurers want to be able to ascertain the probability and magnitude of claims under the forthcoming insurance policy and compare it with the offered

premium

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How do insurers compute probable future claims ?

By studying the past : claims history

Through exposure based predictive actuarial models

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The relative importance of claims history

Overall Loss Ratio or “Credit Balance” are not as important as the Insured may think

Because of the catastrophic nature of the cover offered In terms of frequency In terms of severity

Because a single cat loss does not necessarily help to predict the future

Claims frequency and attritions are often far more important information

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The importance of small claims frequency

Attritions are small and frequent both on Hull & Liability

They represent very large amounts for the industry

They often can be controlled by risk management

They are charged back to the insured + margin

Frequency of incidents have an influence on the catastrophes probability

Incidents

Accidents

Cat

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Predictive models are what set the premium level

Predictive models analyze

The probable frequency of losses The probable severity of losses

Simulate a given year a very large number of times

Compute a premium taking into consideration

The expected loss level The volatility of expected losses

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Frequency

Accident Frequency

Size of FleetSize of Fleet

Type

of

Aircraft

Type

of

AircraftGeographyGeography

Underwriter

JudgmentUnderwriter

Judgment

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Relative accident rates per region

0

1

2

3

4

5

6

7

USA / Japan Asia Europe Africa SouthAmerica

Middle East

Fatal Non Fatal

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Underwriter judgment : regional analysis

Climate and terrain

Infrastructure

Civil Aviation Authorities

12

Relative accident rates per aircraft type

0

0.5

1

1.5

2

2.5

3

NB New NB Old RegionalNew

RegionalOld

TP WB New WB Old

Non Fatal Fatal

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Underwriter judgment : aircraft type

Aircraft age

Specific maintenance program

Specific equipment

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Relative accident rates : size factor

0.00

0.50

1.00

1.50

2.00

2.50

3.00

3.50

4.00

0 20 40 60 80 100 120

Risk factor

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Underwriter’s judgment : size

Operational argument

Budgets

Standard of operations

Financial issue

Premium volume

Payback

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Claim severity : cost of life

0

1,000,000

2,000,000

3,000,000

4,000,000

5,000,000

USA Europe Asia High SouthAmerica

Asia Low China /India

Africa

Cost of life

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Underwriter judgment : cost of life

Passenger nationality

Passenger profile

Specific legislation

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Underwriter judgment : Relationship

Transparency

Risk visits

Updates

Continuity

An attractive airline is an airline you can justify having insured

the day after it had a major loss