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	<title>Definition:Period mortality - Revision history</title>
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	<updated>2026-06-13T19:10:42Z</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:Period_mortality&amp;diff=9555&amp;oldid=prev</id>
		<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;Period mortality&amp;#039;&amp;#039;&amp;#039; refers to a set of age-specific [[Definition:Mortality rate | mortality rates]] observed over a defined time interval — typically one calendar year — applied across a population to construct a [[Definition:Mortality table | mortality table]] or [[Definition:Life table | life table]]. In the [[Definition:Life insurance | life insurance]] and [[Definition:Annuity | annuity]] industry, period mortality tables provide a snapshot of current death rates without projecting future improvements in longevity, making them fundamentally different from [[Definition:Cohort mortality | cohort (generational) mortality]] tables that track an actual birth cohort through time and incorporate mortality trend assumptions. Insurers and [[Definition:Actuary | actuaries]] use period mortality as a baseline for [[Definition:Pricing | pricing]], [[Definition:Reserving | reserving]], and understanding the present mortality environment.&lt;br /&gt;
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🔬 To build a period mortality table, actuaries calculate the probability of death at each age — denoted q(x) — using deaths and population exposure data from a single period. The resulting table answers the question: &amp;quot;If today&amp;#039;s mortality rates persisted indefinitely, how long would people at each age be expected to live?&amp;quot; Because it freezes mortality at a point in time, it does not capture the historical and anticipated decline in death rates that most developed populations experience. For [[Definition:Life insurance | life insurers]] pricing long-duration products, relying solely on period mortality could understate future [[Definition:Longevity risk | longevity risk]] for [[Definition:Annuity | annuity]] portfolios or overstate it for [[Definition:Term life insurance | term life]] business, depending on the direction and pace of mortality improvement.&lt;br /&gt;
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📊 Despite its static nature, period mortality serves essential functions in the industry. [[Definition:Insurance regulator | Regulators]] often prescribe period-based tables — such as the Commissioners Standard Ordinary (CSO) tables in the United States — for minimum [[Definition:Statutory reserve | statutory reserve]] and [[Definition:Nonforfeiture value | nonforfeiture value]] calculations, providing a standardized and conservative floor. Actuaries then layer [[Definition:Mortality improvement factor | mortality improvement factors]] on top of period tables to create projection-based assumptions for internal [[Definition:Pricing | pricing]] and [[Definition:Asset-liability management (ALM) | asset-liability management]]. Monitoring how period mortality shifts from year to year — as seen dramatically during the COVID-19 pandemic — also gives insurers early signals about emerging trends that could affect [[Definition:Claims experience | claims experience]] across their in-force [[Definition:Book of business | book of business]].&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:Cohort mortality]]&lt;br /&gt;
* [[Definition:Mortality table]]&lt;br /&gt;
* [[Definition:Mortality improvement factor]]&lt;br /&gt;
* [[Definition:Longevity risk]]&lt;br /&gt;
* [[Definition:Life table]]&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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