Actuarial Modeling- Simulations -DFA

CATCO is offering to insurers and reinsurers a wide range of services covering these topics, ranging from building database to complex actuarial calculation, with a specific focus on probabilistic modeling. Accustomed to works covering different fields, Catco is the ideal parner for combining the finest modeling with building relevant and sophisticated simulation tools to fit the exact client's needs,
Catco's expertise on these topics has been acquired through many years of works and missions for the most famous names of the industry, on the French and international insurance and reinsurance markets and for most lines of business of non life insurance.

Questions on how to model your portfolio?
Contact CatCo, there has to be a solution!

Below are a few hints about modeling and simulation:

Modeling :
Financial modeling:
You want to know precisely avec would be the impact of a change in market conditions - like deterioration of loss amounts, change in legal environment, ...- on the financial results of a portfolio while taking into account other parameters like contractual conditions, reinsurance and others. You can get there by modeling each parameter with a probabilitic distribution, possibly taking into account correlations between them, and using simulation tecnics like Monte Carlo. A financial modeling will allow you to get a precise answer on possible variations of financial results as well as information on extreme situations (what is the worst every 100 years for example). In addition to creating the model itself Catco can also build specific toosl - Excel interface or stand alone - to run the simulations or help the client integrate the model into local existing systems

Modeling a specific insurance line of business:
Modeling the relationship than might exist between external factors - socio-economic, geophysical, ...- and the variations of the financial results of a line of business, for example to build a tarification or better evaluate financial exposures

Simulation :
Going hand in hand with modeling, simulation allows to build "synthetic", or potential, samples as large as needed, of a given variable, which can be as different than annual losses, wind gusts, etc... This will allow to integrate these synthetic values into any complex calculation processes and get global statistic distributions gathering all information, like for example the financial performance of an entire portfolio