https://www.insurerbrain.com/w/index.php?action=history&feed=atom&title=Definition%3ACatastrophe_modeling 2026-06-14T11:12:31Z Revision history for this page on the wiki MediaWiki 1.43.8 https://www.insurerbrain.com/w/index.php?title=Definition:Catastrophe_modeling&diff=6574&oldid=prev 2026-03-09T16:21:04Z

<p>Bot: Creating new article from JSON</p> <p><b>New page</b></p><div>🌪️ &#039;&#039;&#039;Catastrophe modeling&#039;&#039;&#039; is the use of computer-simulated scenarios to estimate the potential [[Definition:Loss experience | losses]] that natural or man-made disasters could inflict on an [[Definition:Insurance carrier | insurer&#039;s]] [[Definition:Book of business | portfolio of risks]]. By combining scientific data on hazards — hurricanes, earthquakes, floods, wildfires, and more — with detailed information about insured [[Definition:Exposure | exposures]] and building vulnerability, these models produce probabilistic distributions of loss that no amount of historical claims data alone could reliably forecast.<br /> <br /> 🖥️ A typical catastrophe model consists of four modules working in sequence. The hazard module generates thousands of simulated events based on geophysical and meteorological science. The exposure module maps [[Definition:Insurance policy | policyholder]] locations and property characteristics to those events. The vulnerability module translates hazard intensity at each site into a damage ratio, and the financial module applies [[Definition:Policy terms and conditions | policy terms]] — [[Definition:Deductible | deductibles]], [[Definition:Policy limit | limits]], [[Definition:Reinsurance | reinsurance]] structures — to convert physical damage into insured losses. Firms such as Moody&#039;s RMS, Verisk, and CoreLogic supply the leading commercial platforms, though a growing number of [[Definition:Insurtech | insurtechs]] are building proprietary models, especially for emerging perils like [[Definition:Cyber risk | cyber risk]] and climate-amplified events.<br /> <br /> 📐 Accurate catastrophe modeling underpins almost every strategic decision in property and [[Definition:Casualty insurance | casualty]] insurance. [[Definition:Underwriter | Underwriters]] rely on model output to price individual risks and manage portfolio accumulations; [[Definition:Actuary | actuaries]] use it to set [[Definition:Loss reserve | reserves]] and capital requirements; and [[Definition:Reinsurance | reinsurers]] base treaty pricing on modeled [[Definition:Probable maximum loss (PML) | probable maximum loss]] and [[Definition:Aggregate exceedance probability (AEP) | exceedance-probability]] curves. As climate change alters the frequency and severity of natural catastrophes, the assumptions embedded in these models — and the speed at which vendors update them — have become among the most consequential variables in the global insurance market.<br /> <br /> &#039;&#039;&#039;Related concepts&#039;&#039;&#039;<br /> {{Div col|colwidth=20em}}<br /> * [[Definition:Probable maximum loss (PML)]]<br /> * [[Definition:Aggregate exceedance probability (AEP)]]<br /> * [[Definition:Exposure management]]<br /> * [[Definition:Reinsurance]]<br /> * [[Definition:Natural catastrophe]]<br /> * [[Definition:Climate risk]]<br /> {{Div col end}}</div>

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