Description: Based on work performed by Bob Howard, a former member of RPEC, the SOA developed a spreadsheet-based program that allows users to create a customized mortality improvement scale using the RPEC_2014 model. The RPEC_2014_v2018 model found here is a new version of the tool updated by the SOA and RPEC to reflect historical U.S. mortality experience through 2016. The tool can be used to model different assumption sets while utilizing the same methodology underpinning the development of Scale MP-2018.

Description: Follow up to the study 2014 GLTD Termination Table study. Reporting on recent experience and relative to the parameters underlying that table examined.

Description: This report is a follow-up to the 2005 group life waiver of premium study. This study covers the experience for waiver of premium claims between 2000 and 2016.

Description: The purpose of this survey is to gather a high-level view of U.S. Group Term Life Insurance mortality results during the COVID-19 pandemic, as compared to prior period baseline mortality results. The datasets for this report encompass all Group Term Life claims reported to participating carriers as of August 31, 2020. The Committee is grateful that 20 of the top 21 U.S. Group Term Life insurers are participating in this survey, with market share representing roughly 90% of the industry.

Description: Fixed Indexed Annuity Experience Study – Policy Years 2013-15

Description: The Society of Actuaries Research Institute, the American Property Casualty Insurance Association and the Casualty Actuarial Society are pleased to present a report examining how the COVID-19 pandemic affected the auto insurance industry. In this report, we will examine the effects of the pandemic on auto losses using dynamic linear models. We examine which predictors best describe the trends, and the impact the pandemic has on predicted future claims.

Description: The purpose of this report is to examine, from an actuarial perspective, how well current evaluation techniques serve the needs of key decision-makers, such as payers, providers and consumers, and to provide guidance on how to apply the various techniques during the decision-making process. This evaluation will be based on two assessments prepared by the sponsor of this research, the Peterson Health Technology Institute (PHTI), a nonprofit initiative that provides independent evaluations of innovative digital health technologies to improve health and lower costs. Using evidence-based research, PHTI analyzes not only the clinical benefits of a new technology and its potential financial impact, but also the impact on equity, privacy and security.

Description: This document is a methodology guide for the Long-Term Care Population Research Model developed by the Society of Actuaries Research Institute in November 2024. It explains the model's purpose, framework, data sources, user inputs, calculations, and outputs related to public long-term care benefits.

Description: This is a collection of essays on this topic published by the Society of Actuaries Research Institute in 2024 which discusses the risks emerging from artificial intelligence (AI) widespread use, including short-term risks like privacy erosion and economic disruption, as well as long-term risks like existential threats and biased decision-making.

Description: The report is a framework for digital asset risks with insurance applications authored by Zhengming Li, Jianxi Su, Maochao Xu, and Jimmy Yuen. It discusses the growth and risks of digital assets, focusing on cyber risks and the development of insurance products to manage those risks.