Description: As of September 2021, there are 8 recorded webinars available for free to Modeling Section members. Each of the 8 are described, as well as how to access them. There are other Modeling Section-related materials also pointed out (podcasts & newsletter)

Description: A look at the COVID-19 crisis in 2020, and how it differs from both prior financial crises and pandemics. The COVID-19 pandemic gives actuaries an opportunity to assess different ways risk may interact, and thereby adjust the profession’s work for the future.

Description: Universal Life with Secondary Guarantees (ULSG) was first introduced in the late 1990's as low-cost, long-term death benefit protection. As this business ages, writers are experiencing pressured earnings from emerging experience, secondary markets for insurance products and low interest rates. In response, writers are sharpening their pencils on experience analysis and risk management with an eye for opportunities to increase the performance of their blocks.

Description: The IFRS 17 implementation deadline is near and companies have decisions to make. While many decisions pertain to specific IFRS 17 requirements, others are more strategic in nature. This session will explore key considerations and decisions faced by stakeholders as they finalize their implementation work and determine ongoing best practices in light of this new standard.

Description: 2021 ImpACT Conference -Insurance ALM Survey - Early Results and Best Practices Recording

Description: This article looks at an extensive integrated collection of financial mathematical modeling packages available in R, a language and environment for statistical computing.

Description: 2021 Life Meeting - Session 8B: Proxy Discrimination in Life Insurance 9.1.21 Recording

Description: This webcast will detail interpretable machine learning techniques for participants to gain an intuition and understanding about the use of these techniques. We will discuss how to apply them, how to understand them, and how to avoid potential pitfalls.

Description: Tree models have been found to provide a good fit to group long term disability recovery and mortality rates. This research paper provides an overview of tree models, and details how they have been used for developing these rates.