2004 Hurricane SeasonRecap and Observations
May 2005 CAS Meeting
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Agenda
Section 1 2004 Hurricane Recap
Section 2 Reinsurance Observations
Section 3 Catastrophe Model Observations
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2004 Hurricane Recap
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2004 Hurricane Season
Source: Impact Forecasting
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Source: Impact Forecasting
Hurricane Path Discussion 1995 - 2003
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Source: Impact Forecasting
Hurricane Path Discussion 2004
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Charley 7.475
Frances 4.595
Ivan 7.110
Jeanne 3.655
22.835
ISO Property Claim Service Loss Estimates$Billions
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PCS Loss Estimates and Return Periods
Charley 7.475 7 - 8
Frances 4.595 4 - 5
Ivan 7.110 6 - 7
Jeanne 3.655 3 - 4
22.835 20 - 25
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Florida PCS$Millions: Total Personal Lines Commercial Lines Auto
Hurricane Charley 7,430 4,400 2,750 280Hurricane Frances 4,275 2,900 1,250 125Hurricane Ivan 4,300 2,900 1,250 150Hurricane Jeanne 2,785 2,100 605 80
18,790 12,300 5,855 635
Florida Stakeholders$Millions: Industry Total FHCF CPIC Insurers Retained
Hurricane Charley 7,430 1,700 925 3,815Hurricane Frances 4,275 806 288 2,728Hurricane Ivan 4,300 237 230 2,405Hurricane Jeanne 2,785 309 369 2,678
18,790 2,560 1,813 11,626
FHCF payments do not sum to total because insurers will max out on FHCF recoveries
Florida Detail
FHCF Payment threshold: $4.5 - $4.9 Billion Per Occurrence
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Catastrophe Loss as Percent of Property Premium
1992 - 2004 2004
Countrywide: 18.8% Countrywide: 27.0%
Reinsurance Observations
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Reinsurance Observations
2004 hurricane events
Excess capacity mitigated rate pressure
Did not drive reinsurance pricing
If there were unmodeled (or not well modeled) losses, experience rating influenced pricing
Reinsurers continue to
Re-evaluate degree of uncertainty around model output
Monitor Florida regulatory developments for impact on exposure to reinsurance layers (“regulatory surge”, deductible issue, FHCF structure, etc.)
Cedents are now more interested in
Understanding and reinsuring aggregate PML’s
Reducing traditional coverage restrictions (i.e. Aon’s efforts to expand hours clause, reduce co-participations, etc.)
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2005 Reinsurance Rate and Security Observations
Reinsurer pricing models will reflect cat model changes (likely to be in 2006) Excess capacity is driving rates down Significant pockets of restless capital remain – and new capacity continues
to arrive Better rated Lloyd’s market is aggressive
Aon’s leadership in restructuring this market to be more transparent and efficient
Generally led pricing in early 2005 Spiral issues have been reduced Questions remain about long-term discipline and ongoing profitability
Cedants more focused on security quality Especially anticipated quality following catastrophic event Want assistance in measuring reinsurer’s capacity to respond to multiple
large catastrophe events
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Catastrophe Model Observations
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Summary of Hurricane Loss Estimates
Event/Portfolio Data Points
Est
imat
ed L
oss
/ A
ctu
al L
oss
Und
ere
stim
atio
nO
vere
stim
atio
nModel A
Model C
0
0.5
1
1.5
2
2.5
3
0 20 40 60 80 100
Model B
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Average Estimated Loss/ Actual Loss
Model A 54%
Model B 78%
Model C 98%
Hurricane Loss Estimates Based on Post Event Catastrophe Model Analysis
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Catastrophe Model Observations
Multi-model analysis provided value
Demand surge happens, based on aggregate losses
Age of building and building codes matter
More refinement is needed in commercial occupancies, e.g. golf courses
Quality, completeness and vintage of exposure data are important
Losses occur at low wind speeds
Unmodeled losses – Flood,Contingent BI, Mold, Off-Site Power interruption
Accuracy of post-event estimates vs. actual loss is not necessarily a test of accuracy of risk estimates (PML evaluation)
Review of 2004 losses still underway – changes if any to damage functions in 2006
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Anticipated Model Changes
Information still being gathered and analyzed
2005 model updates will be adjusted for frequency and other items
Some changes will be deferred to 2006 (damage functions, etc.)
Lower return period loss estimates
Demand surge
Revised damageability ratios at lower windspeeds
Revised damageability ratios for select construction types
Year of construction
Secondary building characteristics
Upper levels of reinsurance coverage not tested
Possible lack of independence of events
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FHCF Change Legislation
FHCF Retention drop down on third largest and smaller events
Industry basis - $4.5 billion to $1.5 billion
Loss events ordered on individual company basis
Actuarial rates for CPIC in Monroe County if reasonable competition does not exist – an experiment
OIR to study standard rating territories by 1/15/2006
OIR to study standard policy forms by 1/15/2006
State may ask companies to report exposure and loss data for development of public hurricane model
OIR and Consumer Advocate to have access to models used in support of rate filings
More, including sinkhole provisions
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