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	<title>Definition:PERILS - Revision history</title>
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	<updated>2026-05-03T08:23:54Z</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:PERILS&amp;diff=14876&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;PERILS&amp;#039;&amp;#039;&amp;#039; is an independent organization that provides industry-wide [[Definition:Catastrophe loss | catastrophe loss]] data for [[Definition:Natural catastrophe | natural catastrophe]] events affecting the European and certain other insurance markets. Founded in Zurich, Switzerland, PERILS serves as a critical infrastructure provider for the [[Definition:Insurance | insurance]] and [[Definition:Reinsurance | reinsurance]] industries by collecting loss data directly from participating carriers and publishing market-wide insured loss estimates for qualifying events — primarily European windstorms, floods, and other significant natural perils. Its role is analogous in some respects to that of [[Definition:Property Claim Services (PCS) | Property Claim Services (PCS)]] in the United States, though PERILS operates with a pan-European scope and an expanding international footprint.&lt;br /&gt;
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📊 PERILS gathers event-specific gross loss data from a panel of contributing insurers and reinsurers that collectively represent a substantial share of the affected market&amp;#039;s premium volume. After an event, the organization issues a series of progressively refined loss estimates — typically an initial estimate within weeks, followed by updates at defined intervals as claims develop and mature. These estimates are broken down by country and by [[Definition:Line of business | line of business]], providing granular insight into how losses are distributed geographically and across property, motor, and other affected classes. Beyond event reporting, PERILS maintains exposure databases that catalog industry-level [[Definition:Total insured value (TIV) | total insured values]] by postal-code zones, which [[Definition:Catastrophe model | catastrophe modelers]], [[Definition:Reinsurance | reinsurers]], and [[Definition:Insurance-linked securities (ILS) | ILS]] market participants use to calibrate their own models and validate portfolio exposures.&lt;br /&gt;
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🔑 The significance of PERILS extends well beyond historical reporting. Its loss indices serve as the triggering mechanism for numerous [[Definition:Industry loss warranty (ILW) | industry loss warranty]] contracts and [[Definition:Catastrophe bond | catastrophe bonds]], where payouts are linked to market-wide insured losses rather than an individual cedent&amp;#039;s experience. This makes PERILS a market-standard reference point for the European [[Definition:Insurance-linked securities (ILS) | ILS]] market and a key input for [[Definition:Retrocession | retrocession]] pricing. The organization&amp;#039;s independence — it does not sell insurance, reinsurance, or modeling products — underpins the trust that market participants place in its data. As European weather volatility increases and the [[Definition:Protection gap | protection gap]] draws greater attention from regulators and governments, PERILS&amp;#039; transparent, industry-aggregated data has become increasingly valuable for informing public policy discussions alongside its core commercial uses.&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:Property Claim Services (PCS)]]&lt;br /&gt;
* [[Definition:Catastrophe bond]]&lt;br /&gt;
* [[Definition:Industry loss warranty (ILW)]]&lt;br /&gt;
* [[Definition:Natural catastrophe]]&lt;br /&gt;
* [[Definition:Catastrophe model]]&lt;br /&gt;
* [[Definition:Insurance-linked securities (ILS)]]&lt;br /&gt;
{{Div col end}}&lt;/div&gt;</summary>
		<author><name>PlumBot</name></author>
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