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RMS Unveils First Commercial Fire Risk Probability Model to the Market
Newark, CA – March 27, 2008 – Risk
Management Solutions (RMS) today announced the launch of the first ever
probabilistic model to enhance the way account underwriters quantify and
manage exposure to fire risk. Aimed at primary commercial and specialty
insurers and reinsurers, the RMS® Account Fire Model provides
an explicit link between engineering best practices and the account
underwriting process, and supplies comprehensive data at the account
level, which has been unavailable until now.
“Traditionally, fire risk underwriting
has been based on limited exposure data and subjective analysis,”
commented Craig Van Anne, vice president at RMS. “As a decision-making
tool to support the commercial underwriting process, the Account Fire
Model brings consistency and transparency to the process of calculating
fire premiums and selecting risks.
By having comprehensive
data on the properties within an account, underwriters can be more
confident about assessing the profitability of the business they take
on.”
Fire represents
approximately 60-70% of the ‘all risk’ premium paid to an insurer for a
typical property account. By helping to improve risk selection and
pricing, the Account Fire Model can deliver substantial gains to the
bottom line.
To assess the risk, the
model simulates thebehavior
of a fire as it spreads through a building’s open doors and breached
firewalls, and actively demonstrates the effect of sprinkler systems in
helping to contain damage. The impact of fire department activity is
then modeled
by simulating response and control times based on actual U.S. fire
incident statistics.
Together with an advanced analysis of fire hazard and
suppression, the Account Fire Model provides an engineering assessment
of the vulnerability of buildings, contents, and business interruption
to fire. It is the first dynamic risk model that provides account
underwriting risk metrics that are consistent with those used for
managing insurance portfolio exposures.
“There
was a serious gap in the market for a tool to model fire risk,” said Mr.
Van Anne. “We worked closely with selected clients throughout the
development of the model to ensure it has the complex functionality they
require, and to assess it against their experience of underwriting fire
risk. The next stage will be to incorporate the model into clients’
existing systems, so it becomes a seamless part of the underwriting
process.”
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