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Designing Parametric Risk Contracts Using Catastrophe Risk Models

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Designing Parametric Risk Contracts Using Catastrophe Risk Models Dennis E. Kuzak Sr.Vice President, EQECAT, Inc. Agenda Introduction to Parametric Insurance ... – PowerPoint PPT presentation

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Title: Designing Parametric Risk Contracts Using Catastrophe Risk Models


1
Designing Parametric Risk Contracts Using
Catastrophe Risk Models
  • Dennis E. Kuzak
  • Sr.Vice President, EQECAT, Inc.

2
Agenda
  • Introduction to Parametric Insurance Contracts
  • Description
  • Advantages and disadvantages
  • Parametric Triggers and Parametric Index Triggers
  • Example-Australis Ltd.
  • Reporting Agencies for Caribbean Contracts
  • Hypothetical Country Contract
  • Country Map
  • Designing a parametric index
  • Post event determination of loss

3
Parametric Insurance Contracts
  • Financial contracts vs. traditional indemnity
    insurance
  • Physical measurement of the loss parameter
  • Highly correlated with expected physical damage
    (e.g. peak gust wind speed)
  • Subject to probabilistic analysis
  • Sufficient historical data to construct
    statistical or simulation based risk model
  • Independent recording of event parameter

4
Parametric Triggers
  • Advantages
  • Simplicity
  • No Disclosure/Exposure Data.
  • Transparency
  • Moral Hazard
  • Rapid Settlement
  • Disadvantages
  • Basis Risk
  • Regulatory

5
Parametric Triggers
  • Quake in a box Tokyo Marine-1997 and
    Concentric Ltd (Tokyo Disneyland) 1999
  • Payoff based on earthquake magnitude gt Magnitude
    JMA occurring within a region defined by boxes
    or circles
  • Simple to understand
  • Rapid settlement- 30 to 60 days max.
  • Considerable basis risk- poor correlation between
    loss and loss recovery

Parametric Re
Concentric Ltd.
6
Parametric Index Triggers
  • Why were they created?
  • Existing parametric triggers have unacceptable
    basis risk
  • How do they reduce basis risk?
  • Select physical parameter highly correlated with
    damage/loss
  • Multiple measurement (grids) locations in close
    proximity to risks
  • Use weighting factor at each location to
    recognize vulnerability and value distribution

7
Example- Australis Ltd (2006)
  • Securitization of Australian Cyclone (hurricane)
    and Earthquake Risk for Swiss Re
  • Parametric index for cyclone and earthquake risk
  • Cyclone risk for NE Australia and earthquake risk
    for entire country
  • Cyclone risk uses peak gust wind speed,
    earthquake uses intensity scale (0-12)
  • Earthquake reporting agency Geosciences
    Australia
  • Cyclone reporting agency Joint Typhoon Warning
    center

8
Australian Earthquake Calculation Locations
9
Weight Distribution of Cyclone Calculation
Locations
10
Hurricane Reporting Agency
  • The National Hurricane Center (NHC) is a branch
    of the Tropical Prediction Center (TPC), under
    the National Oceanic and Atmospheric
    Administration (NOAA). NHC maintains a continuous
    watch on tropical cyclones over the Atlantic,
    Caribbean, Gulf of Mexico, and the Eastern
    Pacific from May 15 through November 30. The
    Center prepares and distributes hurricane watches
    and warnings for the general public, and also
    prepares and distributes marine and military
    advisories for other users.
  • The NHC's Preliminary Reports contain
    comprehensive information on each storm,
    including synoptic history, meteorological
    statistics, casualties and damages, and the
    post-analysis best track (six hourly positions
    and intensities).

11
NHC Best Track Report
12
Earthquake Reporting Agency
  • National Earthquake Information Center (NEIC)
    created in 1966 as part of US Geological Survey
  • Rapidly determines location and magnitude of
    significant earthquakes in US and worldwide
  • Collects data through operation of national and
    global seismograph network of over 3000 stations
  • Reports locations and magnitude via
  • http//www.neic.cr.usgs.gov/neis/bulletin/bulletin
    .html
  • Quick Determination of Epicenters (QED) - daily
  • Preliminary Determination of Epicenters (PDE)
  • Weekly and monthly

13
Hypothetical Country Contract
3 Tourism
1 Port and manufacturing
2 Capital
4 Tourism
14
Creating a Parametric Index
  • Compile physical and financial data for the
    country
  • Aggregate exposures at each calculation location
  • Using hurricane model, calculate physical damage
    loss exceedance (LEC) curve
  • Estimate catastrophe funding deficit from reduced
    taxes and emergency response efforts as a of
    physical damage.
  • Calculate funding deficit loss exceedance curve
  • Create parametric wind index ( based on gust wind
    speed) which is equivalent to the funding
    deficit LEC

15
Creating a Parametric Index
Probability
Damage LEC
0
.2
.4
.6
.8
1.0
1.2
1.4
1.6
1.8
2.0
2.2
Loss ( Billions)
Catastrophe Deficit LEC
Probability
Wind Index LEC
Contract Amount 40 xs 40 M
Index Layer Attach 2000
Index Layer Exhaust 4000
Loss ( MiIlions)
Wind Index
1000
3000
5000
7000
16
Post Event Loss Determination
  • Obtain Hurricane parameters from the National
    Hurricane Center
  • Calculate wind speed at each of the four
    locations
  • Calculate wind index at each location
  • Sum the four values to calculate event index
  • Loss recovery ((Event Index- attachment)/Layer)
    contract amount

17
Hurricane path and calculated wind speeds
3 Tourism (95 MPH)
1 Port and manufacturing ( 125 MPH)
2 Capital (130 MPH)
4 Tourism ( 145 MPH)
18
Wind Index
i4
0.00005502 ? ?i wi ? (vi 30)4
i1
19
Index Calculation and Loss Payment
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