Description: This article is a call to participate in industry mortality studies.

Description: There are certain occasions when the knowledge we have gained in our jobs carries over into our personal lives. For instance, developing insurance products certainly helps when it comes time to buy an insurance policy. Recently, one of the authors had the experience of giving his 91-year-old grandmother, Nanny as she is affectionately called, an Extended Delayed Word Recall DWR test. This article will show that DWR tests are a powerful predictor of mortality in the elderly. As the population ages and more and more life insurance is being applied for at the older ages, having a DWR test in an underwriting arsenal is like comfort food for an actuary.

Description: Discussion of the Society of Actuaries Report on Mortality Improvement Survey from March 2003 survey from the summer of 2000

Description: Milliman was engaged by the SOA to conduct two Accelerated Underwriting (AU) surveys, one of direct companies and another of reinsurers. The surveys explored actual results from 2019–2021 and expected results from 2022.

Description: This article discusses the project to develop a new Credit Life Insurance valuation standard.

Description: Development of relevant industry mortality experience for different market segments. Details about the 2017 CSGI Mortality Table for guaranteed issue products.

Description: The article explores the possibility of using the emerging technology for life insurers to build a monitor system for better risk and profitability management.

Description: Discussion the issues/difficulties associated with setting mortality assumptions for the later durations of life insurance illustrations. Because some UL products incorporate low cost of insurance charges in late durations as part of the current scale in the product design, some conclude that mortality improvement assumptions are being employed in the disciplined current scale, in violation of the Model Illustrations Regulation.

Description: This article discusses whether or not the Preferred risk class wears off over time.

Description: An application of GLM trees to mortality modeling using the Individual Life Experience Committee 2009-2015 dataset. GLM trees are a hybrid of GLMs and decision trees which are analogous to the way actuaries have analyzed data. The major benefits include speeding up actuarial analytic workflows, improving data understanding, and improving data visualization.