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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
Chapter 1: Summary
Chapter 2: Background
Chapter 3: Study Methology
Chapter 4: Population at Risk
Chapter 5: Earthquake
Chapter 6: Terrorism
Chapter 7: Industrial Accident
Chapter 8: Infectious Disease
Chapter 9: Impact of Data Quality
Chapter 10: Managing the Risk
Chapter 11: The Future
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
Clash Pricing
ALLOCATION OF SURPLUS FOR A MULTI-LINE INSURER
Optimization to Improve Business Performance
 
 
 
 
 
 

 

 
2004
Andrew Coburn and Alexandra Cohen
Risk Management Solutions, Inc.
 

Introduction

Throughout our 15-year history, Risk Management Solutions (RMS) has focused our energy on helping clients, associates, and community leaders understand the potentially devastating damage from catastrophic events such as earthquakes, hurricanes, and floods.The insurance industry in particular relies upon our technology to quantify the impact of these events on their portfolio of risk, and in turn take steps to manage that risk.

Until recently, the primary focus of modeling catastrophic events has been on the potential damage to property: personal residences and contents, commercial and industrial buildings, along with business interruption. However, the events of September 11, 2001 have made it clear that not only does the United States have a new catastrophic peril to deal with in terrorism, but the U.S. population also faces grave danger from extreme natural events.

The purpose of this study is to utilize cutting-edge modeling techniques to provide workers compensation, life, and health insurance writers with key benchmarks for the potential risk of human casualties from a range of possible catastrophic events including earthquakes, terrorist attacks, industrial accidents, and infectious diseases. Since catastrophe modeling is fairly new to the life and health industry, RMS has provided some background material on how catastrophe models work, the input data required, and how the results are used to manage risk.

There are a number of challenges inherent to the modeling of catastrophic risk to humans. Unlike property risk, where buildings stay in a fixed location, people represent ‘mobile’ exposures that are likely to be in different places depending on the time of day and day of the week. Modeling mobile exposures has required the development of detailed databases on the movements, demographics, and insurance coverages of the U.S. population.

To assist in the development of this report, RMS enlisted the help of a number of leading experts from the life and health insurance industry.We would like to thank these companies for their assistance, without which this study would not have been possible.

Our hope is that this study will improve the industry’s understanding of the potential level of risk from human casualty, and lead to the reduction of casualties from major catastrophic events in the future through increased awareness, preparedness, and risk mitigation.

Hemant Shah

President & CEO
Risk Management Solutions

Sponsors

The views and analysis in this report are those of Risk Management Solutions.We are grateful for the comments, advice, and review of our steering committee members from the sponsoring clients.