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Određivanje cijene reosiguranja<br />

viška štete za zelenu kartu /<br />

Pricing of Green Card XL<br />

Reinsurance<br />

Dr. Torsten FISCHER<br />

Domenico SEMERARO<br />

September 1st, 2009<br />

Pricing of Green Card XL Reinsurance - Sarajevo<br />

September 1st, 2009


1<br />

Overview of the Pricing Process for Green Card XL<br />

2<br />

Simple Stochastic Model for Large Losses<br />

3<br />

Calculation of the Price for XL Reinsurance<br />

4<br />

Outlook on Refined Loss Modelling<br />

5 Discussion<br />

Pricing of Green Card XL Reinsurance - Sarajevo<br />

September 1st, 2009


Overview of the Pricing Process for Green Card XL<br />

1. Submission of pricing request by cedent / broker:<br />

description of portfolio, slip, (rates).<br />

2. Creation of a <strong>loss</strong> <strong>model</strong> for single large <strong>loss</strong>es.<br />

3. Calculation of a price for reinsurance based on <strong>model</strong><br />

and contract features.<br />

Possible: quotation for alternative layerings, using the<br />

same <strong>model</strong>.<br />

4. Negotiations, finalization of the contract.<br />

3


1<br />

Overview of the Pricing Process for Green Card XL<br />

2<br />

Simple Stochastic Model for Large Losses<br />

3<br />

Calculation of the Price for XL Reinsurance<br />

4<br />

Outlook on Refined Loss Modelling<br />

5 Discussion<br />

Pricing of Green Card XL Reinsurance - Sarajevo<br />

September 1st, 2009


Simple Stochastic Model for Large Losses<br />

Fictitious Example for Green Card XL Reinsurance<br />

• Reinsurance for 3 layers:<br />

1. Layer: 200.000 EUR xs 200.000 EUR<br />

2. Layer: 600.000 EUR xs 400.000 EUR<br />

3. Layer: unlimited xs 1.000.000 EUR.<br />

• Data:<br />

new contract period: 2009<br />

same portfolio for 10 years<br />

<strong>loss</strong> history for the years 1999 – 2008:<br />

complete list of all <strong>loss</strong>es above 100.000 EUR.<br />

What is the price for reinsurance?<br />

Problem: We do not know the future <strong>loss</strong>es.<br />

5


Simple Stochastic Model for Large Losses<br />

• Approach: Create and apply a <strong>model</strong> for the (future)<br />

<strong>loss</strong>es, based on the <strong>loss</strong> history.<br />

• What should the <strong>model</strong> predict?<br />

1. number of <strong>loss</strong>es above the priority (200.000 EUR),<br />

2. the severity (<strong>loss</strong> amount) distribution.<br />

• Assumptions (for simplicity):<br />

no inflation of premiums or <strong>loss</strong>es,<br />

no development of <strong>loss</strong>es (final incurreds are known).<br />

For more realistic assumptions, see below.<br />

6


Loss Amount in EUR<br />

Simple Stochastic Model for Large Losses<br />

Fictive Loss History (above 100.000 EUR in 1999-2008)<br />

1.200.000<br />

1.000.000<br />

800.000<br />

600.000<br />

400.000<br />

200.000<br />

0<br />

1999 2000 2001 2002 2003 2004 2005 2006 2007 2008<br />

Accident Year<br />

7


Number<br />

Simple Stochastic Model for Large Losses<br />

All Loss Amounts above 200.000 EUR, ordered<br />

51<br />

41<br />

31<br />

21<br />

11<br />

1<br />

0 200.000 400.000 600.000 800.000 1.000.000 1.200.000<br />

Loss Amount in EUR<br />

8


Cumulative Probability<br />

Simple Stochastic Model for Large Losses<br />

Empiric Severity Curve<br />

100%<br />

80%<br />

60%<br />

40%<br />

20%<br />

0%<br />

0 400.000 800.000 1.200.000 1.600.000<br />

Loss Amount in EUR<br />

9


Cumulative Probability<br />

Simple Stochastic Model for Large Losses<br />

Empiric Severity Curve and Pareto Fit<br />

100%<br />

80%<br />

60%<br />

40%<br />

The largest historic<br />

<strong>loss</strong> is below 1 mio.<br />

In the Pareto <strong>model</strong> also<br />

<strong>loss</strong>es above 1 mio are<br />

possible.<br />

20%<br />

0%<br />

0 400.000 800.000 1.200.000 1.600.000<br />

Loss Amount in EUR<br />

10


Number of Large Losses<br />

Simple Stochastic Model for Large Losses<br />

Number of Losses above 200.000 EUR per Year<br />

10<br />

8<br />

6<br />

4<br />

History<br />

Average 5,4<br />

2<br />

0<br />

1998 2000 2002 2004 2006 2008 2010<br />

Accident Year<br />

11


Simple Stochastic Model for Large Losses<br />

We have estimated the parameters of a<br />

frequency-severity-<strong>model</strong>:<br />

1. Model threshold: 200.000 EUR<br />

2. Frequency:<br />

average 5,4 <strong>loss</strong>es (above 200.000 EUR) per year<br />

Poisson-distribution (not shown here)<br />

3. Severity (<strong>loss</strong> amount)<br />

Pareto-distribution<br />

Pareto-alpha: 2,3.<br />

In this <strong>model</strong> even very large <strong>loss</strong>es are possible, e.g. <strong>loss</strong><br />

amounts above 5 mio EUR.<br />

12


1<br />

Overview of the Pricing Process for Green Card XL<br />

2<br />

Simple Stochastic Model for Large Losses<br />

3<br />

Calculation of the Price for XL Reinsurance<br />

4<br />

Outlook on Refined Loss Modelling<br />

5 Discussion<br />

Pricing of Green Card XL Reinsurance - Sarajevo<br />

September 1st, 2009


Cumulative Probability<br />

Calculation of the Price for XL Reinsurance<br />

Expected Loss to each Layer = Area * Frequency 5,4<br />

100%<br />

80%<br />

60%<br />

40%<br />

20%<br />

0%<br />

0 400.000 800.000 1.200.000 1.600.000<br />

Loss Amount in EUR<br />

14


Cumulative Probability<br />

Calculation of the Price for XL Reinsurance<br />

Annual Loss per Layer<br />

100%<br />

80%<br />

60%<br />

40%<br />

20%<br />

With probability 88% the 3. layer<br />

has no annual <strong>loss</strong>.<br />

With probability 56% the 1. layer has an<br />

annual <strong>loss</strong> of 500.000 EUR or less.<br />

1. Layer 0,2 xs 0,2<br />

2. Layer 0,6 xs 0,4<br />

3. Layer unlimited xs 1<br />

0%<br />

0 500.000 1.000.000 1.500.000 2.000.000<br />

Loss Amount in EUR<br />

15


Costs in EUR<br />

Calculation of the Price for XL Reinsurance<br />

1. layer: “working layer”,<br />

mainly driven by expected <strong>loss</strong>.<br />

Expected Costs per Layer<br />

600.000<br />

3. layer: rarely hit, small expected <strong>loss</strong><br />

mainly driven by cost of capital.<br />

400.000<br />

200.000<br />

Cost of Capital<br />

Internal Expenses<br />

Brokerage<br />

Expected Loss<br />

0<br />

0,2 xs 0,2 0,6 xs 0,4 unlimited xs 1<br />

Layer<br />

16


1<br />

Overview of the Pricing Process for Green Card XL<br />

2<br />

Simple Stochastic Model for Large Losses<br />

3<br />

Calculation of the Price for XL Reinsurance<br />

4<br />

Outlook on Refined Loss Modelling<br />

5 Discussion<br />

Pricing of Green Card XL Reinsurance - Sarajevo<br />

September 1st, 2009


Outlook on Refined Loss Modelling<br />

• Loss Inflation: How much would a historic <strong>loss</strong> cost<br />

today?<br />

Possible approach: <strong>loss</strong> amounts are inflated like the<br />

wages or medical costs in the country of occurrence.<br />

• Loss development: Consider that the ultimate <strong>loss</strong><br />

amount for an accident is unknown for a long time. Split of<br />

<strong>loss</strong> into paid and reserved. Discount of later payments,<br />

capital allocation for period of uncertainty.<br />

• Application of market <strong>model</strong>s: in particular if the cedent’s<br />

data is sparse, not suitable for <strong>model</strong>ling; application to<br />

non-working layers.<br />

18


Outlook on Refined Loss Modelling<br />

• Separate <strong>model</strong>s for different type of risks: segmentation<br />

by type of vehicle, destination<br />

- however: one needs a lot of good data for that.<br />

• Comparison of historic portfolios:<br />

- Inflation of premiums, e.g. by Premium Index (tariff<br />

changes).<br />

- Preferred exposure measure: number of vehicles or<br />

vehicle years.<br />

19


Outlook on Refined Loss Modelling<br />

• Consideration of structural changes:<br />

- changes in the cedent’s portfolio, e.g. from passenger<br />

cars to trucks, merger with another company, change<br />

in underwriting policy.<br />

- changes in law: higher limits, change in jurisdiction<br />

→ estimation of quantitative effect is difficult.<br />

Facit: Refined Loss Modelling leads to a better estimation of<br />

the fair price for Reinsurance.<br />

The better the data (level of information, number of<br />

reported years,…) the better the <strong>model</strong>.<br />

20


1<br />

Overview of the Pricing Process for Green Card XL<br />

2<br />

Simple Stochastic Model for Large Losses<br />

3<br />

Calculation of the Price for XL Reinsurance<br />

4<br />

Outlook on Refined Loss Modelling<br />

5 Discussion<br />

Pricing of Green Card XL Reinsurance - Sarajevo<br />

September 1st, 2009


Hvala na pažnji!<br />

-<br />

Thank you for your<br />

attention!<br />

Dr. Torsten FISCHER<br />

Phone: +49-221-2928-1452<br />

TFischer@scor.com<br />

Domenico SEMERARO<br />

Phone: +49-221-2928-1304<br />

DSemeraro@scor.com<br />

Pricing of Green Card XL Reinsurance - Sarajevo<br />

September 1st, 2009

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