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🌪️ '''Catastrophe modelling''' is the use of scientific, engineering, and statistical methods to simulate the financial impact of natural and man-made catastrophic events on [[Definition:Insurance carrier | insurance]] and [[Definition:Reinsurance | reinsurance]] portfolios. Developed initially in the late 1980s and early 1990s — catalyzed by the insurance industry's realization after [[Definition:Hurricane Andrew | Hurricane Andrew]] that historical loss data alone was an inadequate predictor of future catastrophe exposure — these models have become indispensable tools for [[Definition:Underwriting | underwriting]], [[Definition:Pricing | pricing]], [[Definition:Capital management | capital management]], and [[Definition:Risk transfer | risk transfer]] decisions across the global property catastrophe market.

⚙️ A catastrophe model typically comprises four sequential modules. The hazard module generates thousands of stochastic event scenarios — hurricanes, earthquakes, floods, wildfires, or cyberattacks — calibrated to reflect scientifically plausible frequency and severity distributions. The exposure module ingests an insurer's portfolio data, including location coordinates, construction types, occupancy details, and policy terms. The vulnerability module translates hazard intensity at each exposure location into physical damage estimates using engineering-based damage functions. Finally, the financial module applies [[Definition:Policy terms and conditions | policy conditions]] — [[Definition:Deductible | deductibles]], [[Definition:Coverage limit | limits]], [[Definition:Reinsurance | reinsurance]] structures — to convert physical damage into insured losses. Leading vendors such as Moody's RMS, Verisk, and CoreLogic dominate the commercial modelling landscape, though many large [[Definition:Reinsurance | reinsurers]] and sophisticated [[Definition:Insurance-linked securities (ILS) | ILS]] funds maintain proprietary models that incorporate their own views of risk. Regulatory regimes increasingly reference catastrophe model output: [[Definition:Solvency II | Solvency II]] internal models in Europe, the [[Definition:National Association of Insurance Commissioners (NAIC) | NAIC]] framework in the United States, and [[Definition:Prudential regulation | prudential standards]] in markets like Singapore and Australia all expect insurers to quantify catastrophe exposure rigorously.

📈 The strategic weight of catastrophe modelling in the insurance industry is difficult to overstate. Model output directly influences how much [[Definition:Premium | premium]] a carrier charges for property catastrophe risk, how it structures its [[Definition:Reinsurance program | reinsurance program]], and how much [[Definition:Capital | capital]] it holds against tail events. In the [[Definition:Insurance-linked securities (ILS) | ILS]] market, investors rely on model-generated [[Definition:Exceedance probability curve | exceedance probability curves]] to assess the risk-return profile of [[Definition:Catastrophe bond | catastrophe bonds]] and [[Definition:Collateralized reinsurance | collateralized reinsurance]] contracts. Yet the models are not infallible — they embed assumptions about climate patterns, building codes, and loss amplification that are subject to considerable uncertainty, a reality underscored by events like the 2011 Tōhoku earthquake and the 2017 Atlantic hurricane season, where actual losses diverged meaningfully from modelled expectations. The ongoing challenge of incorporating [[Definition:Climate change | climate change]] trends, emerging perils such as [[Definition:Cyber risk | cyber risk]], and secondary uncertainty into catastrophe models remains one of the most active frontiers in [[Definition:Insurtech | insurtech]] innovation and actuarial research.

'''Related concepts:'''
{{Div col|colwidth=20em}}
* [[Definition:Catastrophe bond]]
* [[Definition:Probable maximum loss (PML)]]
* [[Definition:Aggregate exceedance probability]]
* [[Definition:Insurance-linked securities (ILS)]]
* [[Definition:Exposure management]]
* [[Definition:Natural catastrophe]]
{{Div col end}}

Definition:Catastrophe modelling - Revision history

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