Description: The Society of Actuaries Strategic Research Program Steering Committee is pleased to release this report examining how well people estimate their own life expectancy.

Description: This session meets the needs of life insurance actuaries who are focused on experience studies, assumption setting, and/or product development. The presenters will use industry data to illustrate how policyholders react to product design, such as premium jumps in the PLT period and UL with high interest rate illustration, and trends in the life insurance market, including the introduction of smoking distinguished rates and the shift towards an increasing number of preferred underwriting classes.

Description: The insurance industry has a lot to learn from academia's missteps. With predictive analytics assuming an ever-expanding role in risk modeling, carriers would be well-served to establish practices that mitigate the creation of faulty models. Hear practical advice on how to mitigate the risks of overfitting, with a focus on how to translate complex policyholder behavior experience data for long-term products into behavioral models using company- and industry-level data.

Description: Papers: Multi-Population Longevity Models: A Spatial Random Field Approach– Nhan Huynh, Mike Ludkovski, Ph.D. - University of California at Santa Barbara, Howard Zail - Elucider, LLC. The Application of Affine Processes in Cohort Mortality Risk Models – Zhiping Huang, Michael Sherris, FSA, FIAA, FIA, Andres M. Villegas Ramirez, Ph.D., Jonathan Ziveyi, Ph.D. - UNSW Australia

Description: The presenters will highlight differences in mortality that result from socioeconomic issues. Topics will include the differences in cause-specific mortality among different socioeconomic classes, trends in these gaps over time, and recommendations for reducing inequalities in life expectancy in the future.

Description: The session offers high-level initial steps to get started using R, as well as a list of helpful resources for both general data science and actuarial science with R. Attendees will learn about popular R packages to perform practical tasks such as importing, transforming and visualizing data, as well as packages commonly used by actuaries. You will also be introduced to the markdown package for creating reproducible and reusable analyses and workflows. By the end of the session, you will be familiar enough with using R and RStudio to begin incorporating these tools in your day-to-day work as an actuary

Description: The observations and methodologies demonstrated in this article can help actuaries further analyze population mortality trends by causes of death and by socioeconomic status.

Description: This report covers the latest emerging trends in U.S. population mortality. The SOA relied upon data furnished by the Centers for Disease Control and Prevention (CDC). Observations are based on the CDC’s recent release of 2018 mortality experience, along with prior mortality experience data from 1999 through 2017.

Description: The hybrid Life/LTC and Life / Chronic Illness market is an exciting market that is in its relative infancy. There are many new companies that have just entered, or are considering entering, the hybrid market. Hybrid sales have grown tremendously over the past decade and are still going strong, with annual premium revenue estimated to be above $4 billion per year. The young issue ages for these products, relative to when LTC benefits are paid, means that the claim experience in the industry for these products is still very limited. Additionally, there are many moving parts to these products that present correlated risks and assumptions. The new entrants to the market, limited experience, and the interactions of risks create an environment equipped for vibrant discussions on the product structure, risks, assumptions, and considerations for modeling these hybrid products. The presenters would provide insight into each of these topics through a conceptual discussion, supported by observational data from case study projections and sensitivities.