Description: The Product Development Section, the Financial Reporting Section, the Modeling Section and the Committee on Life Insurance Research are pleased to present new research on modeling and forecasting cause-of-death mortality. Authored by a Milliman team led by Alexandre Boumezoued, the report develops a framework for forecasting cause specific death rates. Included also is a Cause of Deaths Forecasting Tool and a user guide for the tool.

Description: Hear from Michael Xiao about how actuaries are combining business knowledge and data science skills to excel in Kaggle competitions.

Description: 2021 Life Meeting - Session 6D: The Importance of Joint Credit-Market Risk Modeling 8.31.21 Recording

Description: Historically different approaches have been used by actuaries in modeling mortality improvement. The SOA has recently released a framework that practitioners can use to project mortality improvement, providing methodological consistency across a range of applications.

Description: This paper demonstrates an approach of modeling experience, and then interpreting the model and residual errors.

Description: Much of the work performed by disability insurance actuaries depends on the availability of accurate and detailed data, which is not always as simple as it sounds. Explore a variety of data challenges faced by disability actuaries, along with potential solutions. Potential topics include finding relevant data, the impact of poor data on valuation work, the impact of new privacy rules, and the potential bias in the data used to develop predictive models.

Description: Come discuss modeling costs and its governance, as well as introduce some platforms for more granular asset modeling.