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📊 '''Cat model''' is a sophisticated computational framework used by insurers, [[Definition:Reinsurance | reinsurers]], and [[Definition:Insurance-linked securities (ILS) | ILS]] investors to estimate the probability and financial impact of natural and man-made catastrophes on insured portfolios. Unlike standard [[Definition:Actuarial analysis | actuarial analysis]], which relies heavily on historical loss data, cat models simulate thousands — sometimes millions — of hypothetical catastrophe events to project potential losses across a wide range of severities and return periods. These models are foundational to how the insurance industry prices [[Definition:Catastrophe risk | catastrophe risk]], allocates [[Definition:Risk capital | capital]], and structures [[Definition:Reinsurance treaty | reinsurance programs]].

⚙️ A typical cat model operates through four interconnected modules. The hazard module generates a stochastic event set — a large catalog of physically plausible events such as hurricanes, earthquakes, or floods — each characterized by intensity parameters like wind speed or ground shaking. The exposure module ingests the insurer's book of business, including property locations, construction types, and [[Definition:Total insured value (TIV) | total insured values]]. The vulnerability module then applies damage functions to estimate physical destruction for each event-exposure pairing. Finally, the financial module layers on [[Definition:Policy terms and conditions | policy terms]], [[Definition:Deductible | deductibles]], [[Definition:Catastrophe sublimit | sublimits]], and [[Definition:Reinsurance program | reinsurance structures]] to translate physical damage into insured losses. Leading vendors — including Moody's RMS, Verisk, and CoreLogic — each maintain proprietary model versions, and insurers frequently run multiple models in parallel to capture a range of uncertainty.

💡 The influence of cat models on the insurance value chain can hardly be overstated. [[Definition:Underwriter | Underwriters]] depend on them to set technically adequate [[Definition:Premium | premiums]] for catastrophe-exposed risks; [[Definition:Rating agency | rating agencies]] and regulators reference model outputs when evaluating an insurer's [[Definition:Solvency | solvency]] and [[Definition:Capital adequacy | capital adequacy]]; and [[Definition:Catastrophe bond (CAT bond) | catastrophe bond]] sponsors use them to define trigger parameters and calculate expected losses for investors. Because model assumptions — particularly around climate trends, secondary uncertainty, and [[Definition:Demand surge | demand surge]] — can materially shift loss estimates, understanding model limitations is just as important as understanding their outputs. As [[Definition:Climate risk | climate risk]] intensifies and new perils emerge, the industry's reliance on continuously refined cat models only deepens.

'''Related concepts:'''
{{Div col|colwidth=20em}}
* [[Definition:Catastrophe risk]]
* [[Definition:Probable maximum loss (PML)]]
* [[Definition:Aggregate exceedance probability (AEP)]]
* [[Definition:Exposure management]]
* [[Definition:Return period]]
* [[Definition:Stochastic modeling]]
{{Div col end}}

Definition:Cat model - Revision history

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