Description: This project models and forecasts premature cardiovascular mortality, with a focus on two main risk factors - obesity status and education attainment level. It investigates the role of obesity and education in determining age-sex-specific premature cardiovascular mortality.

Description: This report explores the behavioral factors influencing insurance purchase among Gen Z and Millennials for forward-looking purposes, leveraging a rich dataset spanning 22 markets across six continents.

Description: The COVID-19 pandemic has been an acute reminder of the material impacts that pandemics can have on Life (re)insurance and society at large. Learn to describe the journey of a Life reinsurance practitioner to model and operationalize pandemic and infectious disease risk, why this is of importance to actuaries, and their risk management. It will consider how such models have been used, developments over time, and challenges in using and calibrating these models. The session will also provide perspectives from a pandemic model provider who will describe the fundamental metrics for pandemic loss distributions and how learnings from the COVID-19 pandemic can be used to quantify the potential impact of the next pandemic. Finally, dive into an outline of how biological principles can be applied to anticipating plausible pathogens causing the next pandemic.

Description: Recent and potential near future extreme experiences are leading us to a new normal rather than back to the prior environment. Learn more about several examples of past Regime Changes along with a detailed discussion of how recent disruptions lead toward a persistent change in the business, social and political environment. Come develop an understanding of these drivers of change as well as the likely impacts on the Financial Services industry.

Description: The document is a report on U.S. Population Mortality Observations updated with 2022 experience by R. Jerome Holman, FSA, MAAA. It covers mortality trends, analyses by factors like sex, age group, and cause of death, and includes methodological details for the data presented.

Description: This document discusses the comparison of lifetables generated using classic demographic techniques and the Human Mortality Database method protocol for socioeconomic deciles from 1982 to 2022. It explains differences in estimation methods, calculation steps for lifetables, advantages and disadvantages of each approach, and a comparison of lifetable values.

Description: This report outlines a methodology for estimating mortality improvement factors based on data from insured lives. The report details challenges, methodology, results, comparisons with population data, limitations, and potential improvements.

Description: This report provides insights into statistical methods for imputing race and ethnicity in the context of insurance industry disparities. It discusses various imputation techniques, performance metrics, and the evolution of methods over time. The aim is to address the lack of consistent data collection on race and ethnicity in insurance datasets.

Description: In the first part of this series, the presenters will provide the results of a recent SOA multi-country survey on mortality improvement practices of life insurance companies. In the second part of this session, they will discuss the issues and solutions related to the development of the most recent RPEC mortality improvement assumptions.

Description: The document is a report on U.S. Population Mortality Observations updated with 2022 experience by R. Jerome Holman, FSA, MAAA. It covers mortality trends, analyses by factors like sex, age group, and cause of death, and includes methodological details for the data presented.