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	<title>Definition:Loss trend - Revision history</title>
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	<updated>2026-06-13T13:06:04Z</updated>
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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;Loss trend&amp;#039;&amp;#039;&amp;#039; refers to the observed or projected rate of change in [[Definition:Loss cost | loss costs]] over time, driven by factors such as inflation, shifting legal environments, evolving claim patterns, and changes in the frequency or severity of insured events. In the [[Definition:Insurance carrier | insurance]] and [[Definition:Reinsurance | reinsurance]] industry, loss trend analysis is a core component of both [[Definition:Actuarial science | actuarial]] [[Definition:Ratemaking | ratemaking]] and [[Definition:Loss reserving | loss reserving]], because today&amp;#039;s [[Definition:Premium | premiums]] must be adequate to cover claims that will be paid months or years in the future. Failing to account for trend — or misjudging its direction — can erode [[Definition:Underwriting profit | underwriting profitability]] across an entire book of business.&lt;br /&gt;
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🔬 Actuaries decompose loss trend into its constituent parts: frequency trend (whether claims are becoming more or less common) and severity trend (whether individual claims are growing more or less expensive). For example, in [[Definition:Auto insurance | auto insurance]], improved vehicle safety technology may produce a favorable frequency trend, while rising medical costs and repair expenses push severity upward. In [[Definition:Liability insurance | liability lines]], [[Definition:Social inflation | social inflation]] — including nuclear jury verdicts and litigation funding — has created a pronounced adverse severity trend that has challenged many carriers&amp;#039; pricing assumptions. Trend factors are typically selected by analyzing multi-year [[Definition:Loss triangle | loss development]] data and external economic indices, then applied to historical losses to bring them to the projected cost level of the upcoming [[Definition:Policy period | policy period]].&lt;br /&gt;
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⚠️ Underestimating loss trend is one of the most common — and consequential — errors in insurance pricing. During soft-market periods, competitive pressure can tempt [[Definition:Underwriter | underwriters]] and actuaries to select optimistic trend assumptions, resulting in [[Definition:Inadequate pricing | inadequate rates]] that only become apparent years later when claims settle above expectations. Conversely, overstating trend can price a carrier out of the market. Increasingly, insurers supplement traditional trend analysis with [[Definition:Predictive analytics | predictive analytics]] and real-time economic data to sharpen their assumptions, recognizing that trend is not a static number but a dynamic reflection of the forces shaping the risk landscape.&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 cost]]&lt;br /&gt;
* [[Definition:Ratemaking]]&lt;br /&gt;
* [[Definition:Social inflation]]&lt;br /&gt;
* [[Definition:Loss reserving]]&lt;br /&gt;
* [[Definition:Predictive analytics]]&lt;br /&gt;
* [[Definition:Severity]]&lt;br /&gt;
{{Div col end}}&lt;/div&gt;</summary>
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