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	<title>Definition:Secondary peril - Revision history</title>
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	<updated>2026-06-14T12:53:52Z</updated>
	<subtitle>Revision history for this page on the wiki</subtitle>
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		<id>https://www.insurerbrain.com/w/index.php?title=Definition:Secondary_peril&amp;diff=8223&amp;oldid=prev</id>
		<title>PlumBot: Bot: Creating new article from JSON</title>
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		<updated>2026-03-10T13:51:30Z</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;Secondary peril&amp;#039;&amp;#039;&amp;#039; is a term used in the [[Definition:Catastrophe modeling | catastrophe modeling]] and [[Definition:Reinsurance | reinsurance]] sectors to describe natural hazard events that have traditionally been considered smaller or less headline-grabbing than primary perils like [[Definition:Hurricane | hurricanes]] and major [[Definition:Earthquake | earthquakes]], yet increasingly generate significant aggregate [[Definition:Insured loss | insured losses]]. Examples include severe convective storms (hail, tornadoes, straight-line winds), [[Definition:Wildfire | wildfires]], [[Definition:Flood | flooding]], drought, and winter storms. The distinction is not about severity to any individual [[Definition:Insured | insured]] — a hailstorm can devastate a community — but rather reflects how the industry has historically categorized and modeled these events relative to peak-zone perils.&lt;br /&gt;
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📉 Historically, [[Definition:Insurance carrier | insurers]] and [[Definition:Reinsurance | reinsurers]] focused their [[Definition:Catastrophe modeling | catastrophe models]] and [[Definition:Capital allocation | capital allocation]] on primary perils because those events posed the largest single-event loss potential. Secondary perils, by contrast, were often addressed through simpler actuarial techniques or bundled into attritional loss assumptions. That approach has proven inadequate. Over the past decade, secondary perils have accounted for a growing share — sometimes exceeding half — of annual global [[Definition:Insured loss | insured catastrophe losses]], driven by factors including [[Definition:Climate change | climate change]], urban sprawl into hazard-prone areas, and rising [[Definition:Replacement cost | replacement costs]]. This trend has forced the industry to invest in more granular modeling of secondary perils and to rethink how [[Definition:Reinsurance treaty | reinsurance programs]] are structured to capture these frequent, moderate-severity events.&lt;br /&gt;
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⚠️ The recalibration around secondary perils has reshaped [[Definition:Underwriting | underwriting]] strategy and [[Definition:Reinsurance | reinsurance]] purchasing alike. [[Definition:Primary insurer | Primary insurers]] in regions exposed to convective storms or [[Definition:Wildfire | wildfire]] risk now face pressure to improve [[Definition:Risk selection | risk selection]], tighten [[Definition:Building code | building code]] compliance requirements, and adjust [[Definition:Rate adequacy | rate adequacy]] for these perils specifically. Reinsurers, meanwhile, are re-examining whether their [[Definition:Aggregate excess of loss | aggregate covers]] and [[Definition:Catastrophe excess of loss | catastrophe treaties]] adequately respond to the cumulative impact of multiple mid-sized events in a single year. The industry&amp;#039;s evolving understanding of secondary perils reflects a broader recognition that frequency-driven losses can erode profitability just as effectively as a single mega-catastrophe.&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:Climate change]]&lt;br /&gt;
* [[Definition:Aggregate excess of loss]]&lt;br /&gt;
* [[Definition:Natural catastrophe]]&lt;br /&gt;
* [[Definition:Wildfire]]&lt;br /&gt;
* [[Definition:Catastrophe excess of loss]]&lt;br /&gt;
{{Div col end}}&lt;/div&gt;</summary>
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