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	<title>Definition:Mack method - Revision history</title>
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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;Mack method&amp;#039;&amp;#039;&amp;#039; is a stochastic [[Definition:Loss reserving | loss reserving]] technique used by [[Definition:Actuary | actuaries]] to estimate the variability around [[Definition:Ultimate loss | ultimate loss]] projections derived from the [[Definition:Chain-ladder method | chain-ladder method]]. Developed by Thomas Mack in 1993, this approach provides a distribution-free framework — meaning it does not assume an underlying probability distribution for the data — to calculate [[Definition:Reserve risk | reserve risk]] by quantifying the standard error of reserve estimates. In the insurance industry, where accurate reserving directly affects [[Definition:Solvency | solvency]] and financial reporting, the Mack method has become one of the most widely referenced techniques for understanding the uncertainty embedded in [[Definition:Loss reserve | loss reserves]].&lt;br /&gt;
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⚙️ The method builds on the familiar [[Definition:Chain-ladder method | chain-ladder]] approach, which uses historical [[Definition:Loss development factor | loss development factors]] to project [[Definition:Incurred losses | incurred losses]] to their ultimate values. What the Mack method adds is a rigorous estimation of the prediction error associated with those projections. It calculates the variance of each development factor and propagates that uncertainty through the projection triangle, producing a standard error for each [[Definition:Accident year | accident year]]&amp;#039;s reserve and for the total reserve across all years. [[Definition:Reinsurance | Reinsurers]] and primary [[Definition:Insurance carrier | carriers]] alike rely on this output when setting confidence intervals around their [[Definition:Booked reserves | booked reserves]], feeding results into [[Definition:Economic capital model | economic capital models]], and satisfying regulatory requirements such as those under [[Definition:Solvency II | Solvency II]].&lt;br /&gt;
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💡 Regulators and [[Definition:Rating agency | rating agencies]] increasingly expect insurers to go beyond point estimates and demonstrate that they understand the range of possible outcomes in their reserve portfolios. The Mack method provides a transparent, well-documented way to meet that expectation without requiring the computational overhead of full simulation-based approaches like [[Definition:Bootstrap method | bootstrapping]]. It is especially valuable during [[Definition:Actuarial opinion | actuarial opinion]] exercises and [[Definition:Own risk and solvency assessment (ORSA) | ORSA]] filings, where quantifying uncertainty is not optional but mandated. Because it works within a framework most reserving actuaries already use daily, adoption is straightforward, making it a foundational tool in modern [[Definition:Actuarial science | actuarial practice]].&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:Chain-ladder method]]&lt;br /&gt;
* [[Definition:Loss reserving]]&lt;br /&gt;
* [[Definition:Bootstrap method]]&lt;br /&gt;
* [[Definition:Loss development factor]]&lt;br /&gt;
* [[Definition:Reserve risk]]&lt;br /&gt;
* [[Definition:Solvency II]]&lt;br /&gt;
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