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	<title>Definition:Return period - Revision history</title>
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	<updated>2026-04-30T03:59:26Z</updated>
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		<id>https://www.insurerbrain.com/w/index.php?title=Definition:Return_period&amp;diff=8187&amp;oldid=prev</id>
		<title>PlumBot: Bot: Creating new article from JSON</title>
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		<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;Return period&amp;#039;&amp;#039;&amp;#039; is a statistical measure used in insurance and [[Definition:Catastrophe modeling | catastrophe modeling]] to express the average frequency with which a loss of a given magnitude — or the natural peril event that causes it — is expected to occur. A &amp;quot;100-year return period&amp;quot; event, for instance, carries a 1% probability of occurring in any single year, not a guarantee that it happens once every century. [[Definition:Reinsurance | Reinsurers]], [[Definition:Insurance carrier | primary carriers]], and [[Definition:Catastrophe modeler | catastrophe modelers]] rely heavily on return periods to calibrate [[Definition:Pricing | pricing]], set [[Definition:Attachment point | attachment points]], and evaluate [[Definition:Portfolio | portfolio]] exposure to extreme events such as [[Definition:Hurricane | hurricanes]], [[Definition:Earthquake | earthquakes]], and [[Definition:Flood | floods]].&lt;br /&gt;
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📈 Catastrophe modeling firms like [[Definition:Risk Management Solutions (RMS) | RMS]], [[Definition:AIR Worldwide | AIR Worldwide]], and [[Definition:CoreLogic | CoreLogic]] generate [[Definition:Exceedance probability curve | exceedance probability curves]] that map loss amounts to return periods across thousands of simulated event scenarios. An insurer examining its [[Definition:Probable maximum loss (PML) | probable maximum loss]] might look at the 250-year return period to understand a tail-risk scenario that regulators and [[Definition:Rating agency | rating agencies]] frequently reference. [[Definition:Reinsurance | Reinsurance]] treaties — especially [[Definition:Excess-of-loss reinsurance | excess-of-loss]] structures — are often priced and structured around specific return-period thresholds, with the [[Definition:Attachment point | attachment point]] set to trigger at, say, a 1-in-50-year loss level and the [[Definition:Exhaustion point | exhaustion point]] extending to the 1-in-250-year level.&lt;br /&gt;
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⚠️ Misinterpreting return periods remains one of the most common pitfalls in insurance risk communication. Stakeholders sometimes assume that experiencing a &amp;quot;100-year event&amp;quot; resets the clock, when in reality the probability resets independently each year. Accurate communication of these probabilities matters enormously for [[Definition:Capital management | capital management]], [[Definition:Solvency | solvency]] assessments, and regulatory compliance under frameworks like [[Definition:Solvency II | Solvency II]], which explicitly references the 200-year return period for calculating [[Definition:Solvency capital requirement (SCR) | solvency capital requirements]]. As [[Definition:Climate change | climate change]] alters the frequency and severity of extreme weather, recalibrating return periods has become a dynamic and increasingly consequential exercise for the entire insurance value chain.&lt;br /&gt;
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&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 modeling]]&lt;br /&gt;
* [[Definition:Probable maximum loss (PML)]]&lt;br /&gt;
* [[Definition:Exceedance probability curve]]&lt;br /&gt;
* [[Definition:Aggregate exceedance probability (AEP)]]&lt;br /&gt;
* [[Definition:Occurrence exceedance probability (OEP)]]&lt;br /&gt;
* [[Definition:Tail risk]]&lt;br /&gt;
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