Description: This paper compares two mortality projection models – the latest version of the CMI Mortality Projections Model and the latest version of MIM-2021.Both models were applied to data for England & Wales and the US, and the results were compared.

Description: In today’s business world, many financial decisions undergo considerable analysis before the decision is made and the decision-maker is often held accountable for the outcomes. The purpose of this research is to introduce the concept of total risk analysis (TRA), which is designed to help the decision-maker answer key questions at the time the decision is made. This paper will focus on a specific example of a typical healthcare decision: setting a budget for claims in the upcoming year. In addition to explaining TRA and providing a case study, this paper presents quantitative research regarding cost distributions for health care costs.

Description: Emerging Applications of ESG Methods offers ground-up insights on cutting edge applications of economic scenario generation. The course will focus on the incorporation of climate change risk in scenario modeling and investment applications of ESGs. The following topics will be covered: Approaches to climate risk modeling. Climate risk is very different than classical financial economic risk. Radical uncertainty is amenable to scenario analysis and lack of data. Building special deterministic scenarios that go beyond NGFS requirements as well as bespoke scenarios. Holistic Approach to Climate Risk Modeling. Overview of different Climate Risk Modeling Applications. Use of ESG scenarios for Strategic Asset Allocation (SAA). Liquidity risk management.

Description: This is a study of Pension Benefit Guaranty Corporation (PBGC) mortality experience. The study consists of data furnished by the PBGC for the time period of September 30, 2009 through September 30, 2014. All of the data come from single-employer pension plans taken over by the PBGC in a distress termination. This is the SOA’s first study of PBGC experience and provides another comparison point of retirement plans mortality experience for work performed by pension actuaries.

Description: The document is the "Pub-2016 Public Retirement Plans Mortality Tables Report" published in May 2025 by the Retirement Plans Experience Committee (RPEC) of the Society of Actuaries and LIMRA. It contains information on mortality tables development, data collection, annuity comparisons, and application of tables for public pension plans.

Description: This paper compares two mortality projection models – the latest version of the CMI Mortality Projections Model and the latest version of MIM-2021.Both models were applied to data for England & Wales and the US, and the results were compared.

Description: The Mortality Improvement Model, MIM-2021- V3. Different mortality projection methodologies are utilized by actuaries across applications and practice areas. As a result, the MIM Advisory Group (“Advisory Group”) developed a single framework to serve as a consistent base for practitioners in projecting mortality improvement.

Description: SOA and LIMRA request mortality data for deferred annuities issued 2015–2024 to support an updated industry experience study.

Description: The RP-2006 and RPH-2006 Mortality Tables were created from the same data as the RP-2014 and RPH-2014 tables, but with rates as of the central year of 2006.

Description: This report examines the mortality of Canadian pensioners subdivided by pension level, using data from the Canada Pension Plan (CPP) and Québec Pension Plan (QPP)