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	<title>Definition:Cohort mortality - Revision history</title>
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	<updated>2026-04-30T07:26:27Z</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:Cohort_mortality&amp;diff=8738&amp;oldid=prev</id>
		<title>PlumBot: Bot: Creating new article from JSON</title>
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		<updated>2026-03-11T04:32:48Z</updated>

		<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;Cohort mortality&amp;#039;&amp;#039;&amp;#039; is an actuarial approach to measuring death rates that tracks a specific group of individuals — a &amp;quot;cohort&amp;quot; — born in the same year throughout their entire lifespan, capturing how [[Definition:Mortality rate | mortality rates]] actually evolve over time as medical advances, lifestyle changes, and public-health interventions progressively alter life expectancy. In the [[Definition:Life insurance | life insurance]] and [[Definition:Annuity | annuity]] sectors, cohort mortality analysis is essential because it accounts for the [[Definition:Mortality improvement | mortality improvement]] trends that static, snapshot-in-time tables fail to reflect, directly influencing [[Definition:Reserving | reserve]] calculations, [[Definition:Pricing | pricing]], and long-term profitability.&lt;br /&gt;
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📊 The method works by observing — or projecting — age-specific death rates for each birth-year cohort rather than relying on a single [[Definition:Mortality table | period life table]] that freezes mortality at one calendar year&amp;#039;s level. For example, a person born in 1960 has benefited from decades of medical progress not captured in a period table compiled when they were 30. [[Definition:Actuary | Actuaries]] construct cohort mortality tables by combining historical data with forward-looking [[Definition:Mortality projection | mortality improvement assumptions]], often using models such as the Lee-Carter framework or the Cairns-Blake-Dowd model. These projections are then embedded into [[Definition:Policy valuation | policy valuation]] systems to ensure that [[Definition:Life insurer | life insurers]] and [[Definition:Pension fund | pension funds]] hold sufficient [[Definition:Reserve | reserves]] against the possibility that policyholders live longer than period-based estimates would suggest.&lt;br /&gt;
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⚖️ Getting cohort mortality assumptions right is high-stakes. Underestimating future [[Definition:Longevity risk | longevity improvements]] can leave an [[Definition:Annuity provider | annuity writer]] dangerously under-reserved — paying out benefits for years beyond what was priced into the product. Conversely, overly aggressive mortality improvement assumptions inflate reserves unnecessarily and reduce competitive positioning. Regulators such as the [[Definition:Prudential Regulation Authority (PRA) | PRA]] in the UK explicitly require insurers to incorporate cohort effects in their [[Definition:Solvency II | Solvency II]] best-estimate calculations, and the growing [[Definition:Longevity risk transfer | longevity risk transfer]] market — including [[Definition:Longevity swap | longevity swaps]] and [[Definition:Pension risk transfer | pension buy-ins]] — depends on credible cohort mortality projections to set transaction pricing.&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:Mortality table]]&lt;br /&gt;
* [[Definition:Longevity risk]]&lt;br /&gt;
* [[Definition:Mortality improvement]]&lt;br /&gt;
* [[Definition:Annuity]]&lt;br /&gt;
* [[Definition:Life insurance]]&lt;br /&gt;
* [[Definition:Actuarial assumption]]&lt;br /&gt;
{{Div col end}}&lt;/div&gt;</summary>
		<author><name>PlumBot</name></author>
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