Sitemap Contact
   
 
 
How DFA Can Help the Property/Casualty Industry, Part 4
Hurricanes Katrina, Rita, Wilma...
Catastrophes: Models and Reserving
Risk Measures
Reinsurer Results:
Catastrophe and Strengthening
Hurricanes: 2003 and 2004 Results, Clustering and TransitioninG
Brushfire and Fire Following Exposures
Tsunami Exposure Worldwide and U.S.
Wind and Hail: Relative Hazard Levels
Cat Modeling Class
Introduction to Reinsurance
Holborn Technical Seminar
Catastrophe, Injury, and Insurance
Review of Myers & Read ARIA Paper
A Perfectly Ordinary Tuesday Morning
This is Not Your Father’s Cat Model
Global Warming and Increased Catastrophes?
Reinsurer Risk Loads from Marginal Surplus Requirements, PCAS LXXVII
Reinsurance Markets
Risk Transfer Assessment
Introduction to Asset Returns and Risks
CAS Call Paper Panel
Ceded Reinsurance Issues in DFA
Catastrophe Reinsurance Simulation Game
Reinsurance by any other name
Clash Pricing
ALLOCATION OF SURPLUS FOR A MULTI-LINE INSURER
Optimization to Improve Business Performance

 

 
June 7, 1999
Paul Kneuer
CARe Research Corner
 
Page: 1 2

There have been both more frequent and more severe catastrophe losses in the last ten years than in the preceding decades.

Some U.S. politicans and some large reinsurers have associated these increases with global warming and specifically with man-made changes in the concentrations of “greenhouse gasses”

Since both parties are selling something it is worth undertaking an independent review.

The best U.S. record is the PCS database.

PCS Data – All Events, Total by Year

But is a 1949 catastrophe the same thing as a 1998 catastrophe?

PCS data – changing definition of a catastrophe

Dollar thresholds that change over time

Dollar thresholds that can’t directly reflect inflation, population density and increases in real insured values

Changing interpretations of “widespread”

Improved communications and access to remote locations allows reporting of more events

Adjustments to the catastrophe data are needed

Past losses brought to 1998 levels using the U.S. GDP as a trend.

  • Explictly adjusts for population and price level increases

  • Implictly adjusts for increased real insured values

After this adjustment we can see the difference in reporting criteria, as some years have many relatively small losses and others have none.

  • We excluded all losses below $45,000,000 on a 1998 level

  • Selected to equate the on-level value of the reporting criteria for each year

Analyzed different catastrophe perils separately.

  • Presumably, CO2 levels don’t cause earthquakes

  • Hurricane vs. other wind vs. EQ vs. all other
Next