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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
Our Capabilities
Property Coverage Parts for Catastrophe Modeling
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

 

 
February 8, 2005
Paul Kneuer
 
Page: 1 2 3

Our Capabilities

Holborn is well prepared to assist our clients with their challenges in catastrophe risk management.

Once client data is received it is reviewed in detail by our modeling team and "scrubbed". We make sure we understand what information we have to work with and that it is as accurate as possible. Then the data is prepared for input into our models.

~ Gloria LaGrua

Vendor Models Licensed

WORLDCATenterprise (EQECAT)

Uses high resolution stochastic event sets. A “high definition” financial model using 150,000 years of dynamic simulations for more accurate results.

RISKLINK (RMS)

Pioneered the development of catastrophe models in the late 1980s, focusing on event-specific probabilistic modeling to quantify risk for individual locations and for portfolios of aggregate risk.

Data and Results

What goes in determines what comes out

The amount of detailed client data we have to work with will enable us to provide more accurate analyses. We would like to see….

Policy #    
Street address City, State, Zip code County
Construction class Occupancy type Year built
# of stories # of bldgs  
Values per location for each coverage type  
Deductible    
Premium information.    

Data Formats

Excel files

Text files

Access Databases

Examples: \\Nycfs\corpdata\Actuarial\ACUITY\Com m_Tornado.txt

Data and Results

We can provide an analysis of a client’s portfolio virtually any way they like. Examples include:

Average Annual Loss and/or Exposure by Zip code, by state, by line of business, by policy, by peril

Largest events

Largest policy losses

Counties/States contributing most to the loss figures

Various return periods…1 in 10, 50, 100, 250, 500, 1000 years...expected loss

Summary of sites with significant PML drivers

Limit profiles, deductible profiles, LOB profiles

Data comparisons from year to year

EP curves

“What-if” scenarios

DLM & ALM

ALM – Aggregate Loss Module

Faster analysis using industry average assumption w/o policy, loc or coverage specific details.

DLM – Detailed Loss Module

More accurate

Uses detailed data reflecting unique characteristics of the portfolio

Create Accnt & Loc tables

Using Excel or Access, or both, create two tables with required fields.

U:\MyPublic\Modeling Presentation 2_2005\Loc_Accnt setup Sample.xls

What is Unicede?

\\Nycfs\corpdata\UNICEDE\UNicede04\ UniQABCDUSAA.txt

Unicede 2 files include multiple lines of business and perils, values per coverage type if available, premium rates, # of risks and average deductible.

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