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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 15-16, 2000
Paul Kneuer
Research Corner
 
Page: 1 2 3 4

The Industry Size of Loss GPD

Losses are positive valued

Assert that Cat losses are unbounded. (If you were king, how much would you spend to avoid the “big one”?)

GPD can be expressed as the particular case of the Pareto:

The Company Size of Loss GPD

Theorem: Q ≤ q

Proof: If Q > q, then there are return times when $Y > $X, which can’t be, since the company is a subset of the industry.

The Share R.V.: S = $Y / $X

We need an assumption about the shape of the distribution of S, given the level
of $X.

The easiest assumption is independence. (But other assumptions can give direct solutions also.)

We will further assume that S is from a Beta distribution. This is reasonable if we believe that the company’s exposures are:

  • Not a single point

  • Contiguous

  • Continuously varying.
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