Description: As of 2019, most companies have defined a model steward role. However, this role is defined differently across the industry and the people in this role face a variety of challenges. The expert panel will share background, war stories and best practices from their years of experience in the role.

Description: Feature article discussing what American actuaries can learn from their European counterparts about actuarial modeling.

Description: In this, the second step, Sibson engaged the vendor and actuarial communities to solicit input on the actuarial model for determining the impact of various environmental, lifestyle and behavioral risk factors. The goal was to understand the extent to which actuaries currently use models around wellness, refine the above conceptual model, and better understand the potential uses of, and value to, the actuarial and vendor communities that would use such a model. We sought to understand the potential applications and sources of data for the actuarial model. We gathered input on how the model would best suit the professional needs and help shape the future role of the actuary. Lastly, we gathered feedback on the above conceptual model.

Description: Actuaries understand the technical benefits of converting their models to a modern actuarial system, such as new capabilities and upgraded technology. This article highlights additional, non-technical benefits that also come with model conversion. These benefits include advancements in attitudes and capacities among the team and across the company.

Description: Historical and actuarial perspectives on the coronavirus events of 2020.

Description: This presentation discusses a technique to reduce the bias from using Monte Carlo simulation to value American options.

Description: The article explores impact of resetting cap vs static cap choice for the GLWB rider for a Fixed Index Annuity for a Point to Point. Moreover, analysis of a Monthly Sum Cap is provided showing impacts of particular choices of market models (e.g. Black, Heston, Bates) used to price this deal.

Description: This dissertation by Tia Sawhney will help you understand this issue and start measuring it, or start promoting equitable public policy.

Description: The comments of DxCG about their participation in the SOA study A Comparative Analysis of Claims-Based Tools for Health Risk Assessment.

Description: This paper applies GPUs and deep learning to achieve orders of magnitude performance improvement in the valuation of large portfolios of variable annuities.