Karen Clark & Company Introduces Severe Convective Storm Model
SCS losses have been trending upward, and this peril now dominates US insured catastrophe average annual losses. Annual SCS losses have consistently exceeded
Traditional catastrophe models have tended to underestimate the SCS loss potential for insurers. The new
The KCC SCS Reference Model is a multi-peril model (MPM), and the hazards of hail versus tornadoes and straight-line winds are simulated separately. The model shows that hail dominates the SCS peril, accounting for nearly 70 percent of annual losses on average.
Along with a stochastic catalog of over 33,000 events used for pricing and reinsurance decision making, the model includes over 100 historical SCS events. Insurers use the historical events to benchmark the model against their actual losses to verify the model accuracy.
“There has been significant industry demand for a more credible and accurate SCS model,” said Karen Clark, KCC President and CEO. “While this peril does not pose a solvency threat to most insurers, claims from severe thunderstorms eat away at earnings each year, and our clients want to make sure their rates reflect the most up-to-date science and their actual loss experience. We’re pleased to release this new model that can accurately reproduce SCS losses.”
“When we reviewed the first set of results from the KCC model, we were very impressed,” said
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