Description: These are presentation slides to supplement, Mortality Under Standard Individuality Life Insurance Between 1999–2002 Anniversaries from ARCH, January 2006.

Description: Ronald Fawthrop and Brian Holland of the SOA’s Individual Life Experience Committee provided a preview of an upcoming individual life mortality study at the SOA’s Life and Annuity Symposium on May 9, 2017. Their presentations are available here.

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: Are you 'dying' to learn about how the mortality data, submitted under the NAIC's Valuation Manual Experience Reporting Requirements (VM50 & VM51), is used? The SOA's Individual Life Experience Committee (ILEC) will describe the data validation 'experience' and explain on how the data eventually influences statutory valuation requirements. The presenters will also 'expose' attendees to the latest insights and observations in the data. Attend this session and learn how the SOA 'minds it's p's and q's' in individual life insurance. At the conclusion of the session, attendees will be able to: - Describe the various types of SOA research that have been performed on the data collected under VM50 and VM51 - Describe the database, released by the SOA, that is compiled from the data collected under VM50 and VM51 - Explain the importance of data quality in VM50 submissions - Identify how the data that is submitted under VM50 would be used to determine Principle-Based Reserving requirement

Description: Ronald Fawthrop and Brian Holland of the SOA’s Individual Life Experience Committee provided a preview of an upcoming individual life mortality study at the SOA’s Life and Annuity Symposium on May 9, 2017. Their presentations are available here.

Description: This presentation studies the mortality prediction performance of the Lee-Carter model.

Description: The presenters will explore the current state of the North American mortality baseline and long-term improvement assumptions and determine what we can learn from the UK's approach. They will share research done by the Society of Actuaries and other organizations to describe how to build a better model, plus show the impact socio-economics and other factors have on longevity expectations. The presenters will offer suggestions for how U.S. and Canadian pension plan and insurance actuaries--and the industry itself--can best use this research to develop a better model for the risk management of pension plans and group annuities

Description: Presenters will discuss mortality improvement as it applies to various lines of business with an emphasis on how individual life findings can be used to fine tune group life assumptions. In particular, it is important to know that there is not a single percentage of annual mortality improvement. Rather, experience shows that the rate of mortality improvement varies by factors such as attained age and target market.

Description: The presenters will cover the latest research undertaken by the Individual Life Experience Committee (ILEC). With several years of very robust individual life insurance experience data accumulated through the mandatory Statistical Agent data calls, this vast amount of data allows for various deeper dives into specific segments of business, such as large face amount, older age or juvenile. Speakers will cover studies the committee is currently involved in, future planned efforts, and results from a variety of sub-segments of business. Attendees will learn about emerging statistical techniques in scrubbing data, more refined quintile-grouped data segments, and interesting ways of conceptualizing how A/E results have changed from year to year. There will be something for everyone!