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	<title>Definition:Rate-setting methodology - Revision history</title>
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	<updated>2026-04-29T14:19:07Z</updated>
	<subtitle>Revision history for this page on the wiki</subtitle>
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&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;📐 &amp;#039;&amp;#039;&amp;#039;Rate-setting methodology&amp;#039;&amp;#039;&amp;#039; is the structured analytical framework an [[Definition:Insurance carrier | insurer]] or [[Definition:Rating bureau | rating bureau]] employs to determine [[Definition:Premium | premium]] rates for a given [[Definition:Line of business | line of business]] or coverage type. In insurance, this methodology serves as the intellectual scaffolding behind every price — codifying how [[Definition:Loss | losses]], [[Definition:Expense ratio | expenses]], [[Definition:Profit margin | profit loads]], and risk characteristics are combined to produce a rate that is both actuarially sound and commercially viable. Regulatory bodies in many jurisdictions require carriers to document and, in some cases, file their rate-setting methodology alongside [[Definition:Rate filing | rate filings]], making it a compliance artifact as much as an analytical one.&lt;br /&gt;
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🔬 Common approaches fall into two broad families. The [[Definition:Loss ratio (L/R) | loss ratio]] method compares incurred losses plus allocated expenses to earned premiums, deriving the rate adjustment needed to achieve a target loss ratio. The pure premium method, by contrast, starts with expected losses per unit of [[Definition:Exposure | exposure]], then layers on fixed and variable expense provisions and a [[Definition:Profit margin | profit and contingency]] loading to arrive at the indicated rate. Both methods rely on [[Definition:Loss development | loss development]] triangles, [[Definition:Trend analysis | trend factors]], and [[Definition:Credibility theory | credibility weighting]] when blending an insurer&amp;#039;s own experience with broader [[Definition:Industry data | industry data]]. Increasingly, carriers augment these classical techniques with [[Definition:Predictive modeling | predictive models]] and [[Definition:Generalized linear model (GLM) | generalized linear models]] that capture non-linear relationships between [[Definition:Rating variable | rating variables]] and expected outcomes.&lt;br /&gt;
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💡 A transparent, well-documented methodology is essential for multiple audiences simultaneously. [[Definition:Insurance regulator | Regulators]] scrutinize it to ensure rates are not unfairly discriminatory, inadequate, or excessive. [[Definition:Reinsurer | Reinsurers]] review it during due diligence to assess whether cedants are pricing risk appropriately before committing [[Definition:Capacity | capacity]]. Internal stakeholders — from [[Definition:Underwriter | underwriters]] to board members — rely on it to understand why rates are moving in a particular direction and to evaluate whether the [[Definition:Portfolio | portfolio]] is on track to meet profitability targets. As [[Definition:Insurtech | insurtech]] platforms introduce more sophisticated, data-intensive pricing engines, the ability to explain and defend the underlying methodology has become a competitive differentiator, not just a regulatory obligation.&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:Rate setting]]&lt;br /&gt;
* [[Definition:Actuarial analysis]]&lt;br /&gt;
* [[Definition:Generalized linear model (GLM)]]&lt;br /&gt;
* [[Definition:Loss ratio (L/R)]]&lt;br /&gt;
* [[Definition:Credibility theory]]&lt;br /&gt;
* [[Definition:Rate filing]]&lt;br /&gt;
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