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: An article from The Actuary that highlights the strategic importance of inter-company mortality studies. Broad-based mortality studies form the backbone of the life actuarial profession. However, few companies have sufficient exposure or deaths to construct their own mortality table. Even is some large companies have enough data, there is still a vast majority of companies that do not. Historically, the void has been filled by means of inter-company studies.

Description: Report on survey designed to get feedback on underwriting guidelines, requirements, assumptions and practices used in assessment of older age applicants.

Description: Guaranteed Issue mortality valuation tables, report, and definition.

Description: The primary focus of this study was a comprehensive review of recent mortality experience of public retirement plans in the United States.

Description: The Society of Actuaries’ Pension Section has completed a research effort exploring the value of longevity pooling and its implications.

Description: Future mortality improvement has been a common assumption in life insurance and annuity pricing and forecasting for many years. However, experience over the last decade suggests this might be an assumption that merits reconsideration in the United States. This article will take a closer look at factors that impact mortality improvement trends and discuss why insurers may want to reevaluate product designs to better manage the associated mortality risk. We then introduce a product idea with this in mind, where premiums are based on a life expectancy index and insurers share the risk (and opportunity) or mortality improvement with policyholders.

Description: Results of a Survey of JRMS members re claims changes due to COVID

Description: This article discusses the concept of Conservation of Mortality ("Conservation"). Conservation is the modeling principle that ensures consistency between assumptions of the total mortality of a population and mortality among population subsets. This article discusses the use cases for Conservation and the many ways that one could implement it in a model or an experience study. This article also discusses the potential issues that arise when using Conservation, and how one might solve or alleviate these issues.