Company: AXS-PE
Filing Date: 2025-02-26
Form Type: 10-K
Source: 0001214816-25-000056
Chunk: 189

Company: AXIS CAPITAL HOLDINGS LTD
Filing Date: 2025-02-26
Form: 10-K
Item: Item 1
Chunk 189
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 the frequency with which losses of a given amount or greater are expected to occur. A zone is a geographic area in which the insurance risks are considered to be correlated to a single catastrophic event. Estimated losses from a modeled event are grouped into a single zone, as shown above, based on where the majority of the total estimated industry loss is expected to occur. In managing zonal concentrations, we aim to ensure that the geography of single events is suitably captured, but distinct enough that they track specific types of events. For example, our definition of Southeast wind encompasses five states, including Florida, while our definition of Gulf of Mexico windstorm encompasses four states, including Texas.

Our PMLs take into account the fact that an event may trigger claims in a number of lines of business. For instance, our U.S. hurricane modeling includes the estimated pre-tax impact to our financial results arising from our property lines of business including energy business, and our marine and aviation lines of business. Our PMLs include assumptions regarding the location, size and magnitude of an event, the frequency of events, a property's construction type and susceptibility to damage, and the cost of rebuilding the property. Loss estimates for non-U.S. zones will be subject to foreign currency exchange rates, although we may mitigate this currency variability from a book value perspective.

As indicated in the table above, our modeled single occurrence 1-in-100-year return period PML for a Southeast U.S. hurricane, net of reinsurance, is approximately $160 million. According to our modeling, there is a one percent chance that on an annual basis losses incurred from a Southeast U.S. hurricane event could be in excess of $160 million. Conversely, there is a 99% chance that on an annual basis the loss from a Southeast U.S. hurricane will fall below $160 million.

PMLs are based on results of stochastic models that consider a wide range of possible events, their losses and probabilities. It is important to consider that an actual event does not necessarily resemble one of the stochastic events and the specific characteristics of an actual event can lead to substantial differences between actual and modeled losses.

We have developed our PML estimates by combining judgment and experience with the outputs from the catastrophe model, commercially available from Verisk Analytics, Inc., that we also use for pricing catastrophe risk. This model covers the major peril regions where we face potential exposure. Additionally, we have included our estimate of non-modeled perils and other factors, that we believe provides us with a more complete view of catastrophe