<?xml version="1.0"?>
<feed xmlns="http://www.w3.org/2005/Atom" xml:lang="en-US">
	<id>https://www.insurerbrain.com/w/index.php?action=history&amp;feed=atom&amp;title=Definition%3AMoody%27s_RMS</id>
	<title>Definition:Moody&#039;s RMS - Revision history</title>
	<link rel="self" type="application/atom+xml" href="https://www.insurerbrain.com/w/index.php?action=history&amp;feed=atom&amp;title=Definition%3AMoody%27s_RMS"/>
	<link rel="alternate" type="text/html" href="https://www.insurerbrain.com/w/index.php?title=Definition:Moody%27s_RMS&amp;action=history"/>
	<updated>2026-05-01T00:21:56Z</updated>
	<subtitle>Revision history for this page on the wiki</subtitle>
	<generator>MediaWiki 1.43.8</generator>
	<entry>
		<id>https://www.insurerbrain.com/w/index.php?title=Definition:Moody%27s_RMS&amp;diff=7923&amp;oldid=prev</id>
		<title>PlumBot: Bot: Creating new article from JSON</title>
		<link rel="alternate" type="text/html" href="https://www.insurerbrain.com/w/index.php?title=Definition:Moody%27s_RMS&amp;diff=7923&amp;oldid=prev"/>
		<updated>2026-03-10T13:30:16Z</updated>

		<summary type="html">&lt;p&gt;Bot: Creating new article from JSON&lt;/p&gt;
&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;🌀 &amp;#039;&amp;#039;&amp;#039;Moody&amp;#039;s RMS&amp;#039;&amp;#039;&amp;#039; is one of the world&amp;#039;s leading [[Definition:Catastrophe model | catastrophe modeling]] firms, providing risk analytics and simulation platforms that [[Definition:Insurance carrier | insurers]], [[Definition:Reinsurer | reinsurers]], [[Definition:Broker | brokers]], and [[Definition:Institutional investor | investors]] use to quantify potential losses from natural and man-made catastrophes. Formerly known as Risk Management Solutions (RMS) before its acquisition by Moody&amp;#039;s Corporation in 2021, the company has been central to the development of probabilistic [[Definition:Catastrophe model | catastrophe modeling]] since the discipline&amp;#039;s emergence in the late 1980s. Its models cover perils including [[Definition:Hurricane | hurricane]], [[Definition:Earthquake | earthquake]], [[Definition:Flood insurance | flood]], wildfire, [[Definition:Cyber risk | cyber risk]], and [[Definition:Terrorism risk | terrorism]], among others.&lt;br /&gt;
&lt;br /&gt;
🖥️ At the core of Moody&amp;#039;s RMS is its Intelligent Risk Platform, a cloud-native analytics environment that enables users to run high-resolution simulations across millions of possible event scenarios. Insurers feed their [[Definition:Exposure data | exposure data]] — property locations, construction types, policy terms — into the platform, and the models generate [[Definition:Exceedance probability curve | exceedance probability curves]], [[Definition:Average annual loss (AAL) | average annual loss]] estimates, and [[Definition:Probable maximum loss (PML) | probable maximum loss]] figures. These outputs inform decisions about [[Definition:Underwriting | underwriting]] appetite, [[Definition:Reinsurance | reinsurance]] purchasing, [[Definition:Capital management | capital allocation]], and [[Definition:Insurance-linked security (ILS) | ILS]] structuring. The platform&amp;#039;s open architecture supports integration with third-party data and proprietary models, allowing organizations to customize analyses to their specific portfolios.&lt;br /&gt;
&lt;br /&gt;
📈 The influence of Moody&amp;#039;s RMS extends far beyond individual company risk assessment. [[Definition:Rating agency | Rating agencies]], regulators, and the [[Definition:Insurance-linked security (ILS) | ILS]] market all reference its model outputs as benchmarks when evaluating insurer strength, setting [[Definition:Solvency | solvency]] requirements, and pricing [[Definition:Catastrophe bond | catastrophe bonds]] — particularly those using [[Definition:Modeled loss trigger | modeled loss triggers]]. Because of this pervasive reliance, any significant update to an RMS model — such as a revised view of U.S. hurricane frequency or a new [[Definition:Climate risk | climate change]] adjustment — can ripple through the market, affecting [[Definition:Reinsurance pricing | reinsurance pricing]], capacity availability, and investment flows. This concentration of influence has also fueled industry discussion about [[Definition:Model governance | model governance]], vendor diversification, and the importance of not treating any single model&amp;#039;s output as definitive truth.&lt;br /&gt;
&lt;br /&gt;
&amp;#039;&amp;#039;&amp;#039;Related concepts&amp;#039;&amp;#039;&amp;#039;&lt;br /&gt;
{{Div col|colwidth=20em}}&lt;br /&gt;
* [[Definition:Catastrophe model]]&lt;br /&gt;
* [[Definition:Probable maximum loss (PML)]]&lt;br /&gt;
* [[Definition:Average annual loss (AAL)]]&lt;br /&gt;
* [[Definition:Insurance-linked security (ILS)]]&lt;br /&gt;
* [[Definition:Exposure data]]&lt;br /&gt;
* [[Definition:Verisk]]&lt;br /&gt;
{{Div col end}}&lt;/div&gt;</summary>
		<author><name>PlumBot</name></author>
	</entry>
</feed>