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	<title>Definition:Attritional loss - Revision history</title>
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		<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;Attritional loss&amp;#039;&amp;#039;&amp;#039; refers to the steady, predictable stream of smaller [[Definition:Claim | claims]] that an [[Definition:Insurance carrier | insurer]] expects to incur in the ordinary course of business, as distinguished from [[Definition:Large loss | large losses]] or [[Definition:Catastrophe loss | catastrophe events]]. These are the routine fender benders in an [[Definition:Auto insurance | auto book]], the slip-and-fall [[Definition:Bodily injury | bodily injury]] claims in a [[Definition:General liability insurance | general liability]] portfolio, or the minor water damage claims in a [[Definition:Property insurance | property program]]. Actuaries and underwriters treat attritional losses as the baseline cost of writing a particular [[Definition:Line of business | line of business]], and their behavior over time is a key indicator of [[Definition:Underwriting | underwriting]] quality.&lt;br /&gt;
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⚙️ Carriers typically separate their [[Definition:Loss experience | loss experience]] into attritional, large, and catastrophe layers for [[Definition:Reserving | reserving]], [[Definition:Pricing | pricing]], and [[Definition:Reinsurance | reinsurance]] structuring purposes. The attritional layer is modeled using historical [[Definition:Loss ratio (L/R) | loss ratios]] and frequency-severity analysis, allowing [[Definition:Actuary | actuaries]] to project expected losses with relatively high confidence. Because these claims are numerous and individually small, they conform well to the [[Definition:Law of large numbers | law of large numbers]], making them the most statistically stable component of an insurer&amp;#039;s total loss picture. [[Definition:Excess of loss reinsurance | Excess of loss reinsurance]] programs are often designed to sit above the attritional layer, triggering only when individual losses or aggregate totals breach a defined [[Definition:Retention | retention]].&lt;br /&gt;
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🎯 Tracking attritional loss trends gives management an early warning system for shifts in [[Definition:Risk | risk]] quality or [[Definition:Claims inflation | claims inflation]]. A creeping increase in the attritional [[Definition:Loss ratio (L/R) | loss ratio]] may signal inadequate [[Definition:Rate adequacy | rate adequacy]], loosening [[Definition:Underwriting guidelines | underwriting guidelines]], or changes in the external environment such as rising medical costs or repair expenses. For [[Definition:Insurtech | insurtech]] companies entering established markets, demonstrating that their [[Definition:Book of business | book]] produces attritional results in line with — or better than — industry benchmarks is often the fastest path to earning credibility with [[Definition:Reinsurer | reinsurers]] and [[Definition:Investor | investors]] alike.&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:Loss ratio (L/R)]]&lt;br /&gt;
* [[Definition:Catastrophe loss]]&lt;br /&gt;
* [[Definition:Large loss]]&lt;br /&gt;
* [[Definition:Excess of loss reinsurance]]&lt;br /&gt;
* [[Definition:Retention]]&lt;br /&gt;
* [[Definition:Claims inflation]]&lt;br /&gt;
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