Description: While our ability to access and analyze large quantities of data is better than ever, many long-term products suffer from sparse data in critical risk areas, such as deep in-the-money lapse experience and long-term utilization rates for income guarantees. The presenters will explore industry-level annuity experience data for these types of situations, and discuss quantitative approaches to addressing them in pricing and other applications.

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.

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 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 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: 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: In this session, attendees will learn to model historical mortality rates and to forecast their possible future scenarios, using a freely available and well-tested toolkit written in open source R. The core of the toolkit is implemented in the R package StMoMo (https://CRAN.R-project.org/package=StMoMo) and enables a practitioner to derive best estimate and measurements of uncertainty using academically robust demographic and actuarial mortality projection models.

Description: The key tasks of credit risk capital project under CROSS II mainly focus onL(1 )Adjustment of measurement framework; (2) Calibration of risk factors, including both credit spread risk and credit default risk;3)Introduction of concentration risk measurement; (4) Higher requirement on look-through rule.

Description: This session from the 2003 SOA Orlando Meeting presents medical advances, common diseases and the resulting trends for the future on longevity and morbidity risk, underwriting trends and measuring the impacts of the changes. From the Record of the Society of Actuaries, Volume 29, No. 3.

Description: This teaching session provides a summary of publicly available data and information sources for health actuaries. Several of the more useful resources are reviewed in detail. From the Record of the Society of Actuaries, Volume 28, No. 2, Session 15

Description: This session discussion is health databases, outcomes research, treatment protocol development, ambulatory utilization, SOA Experience Committee activities, and responding to employer demands for data. From Record of Society of Actuaries Vol. 19, No. 1B.

Description: Presented at October 1985 Annual Meeting. This session focused on three projects funded by the Actuarial Education and Research Fund: risk models, operations research applications for actuaries and probability modeling of losses.

Description: This discussion from the 1983 SOA Hollywood, Florida Meeting presents an update for actuaries on U.S. Federal Statistics including GNP, economic accounts, measures of price change, the Federal Reserve, and the money supply. From Record of Society of Actuaries, Vol. 9, No. 4.