Description: Product complexity, the services provided by distributors, their method of obtaining clients, and their relationship to insurers all affect the characteristics of in force membership. Selecting the distribution channel(s) for a product can have a significant effect on overall profitability. Total sales, acquisition costs, anti-selection/quality of business, persistency, control over market targeting, etc., will vary based on the initial strategy decisions and future adjustments. Gaining a high-level understanding of distribution channels will help develop an appreciation for the importance of these decisions.

Description: Dive into the recent updates to the Bermuda Market and how this may impact current and future market players. Learn more about the Bermuda reserving and capital requirements and how the recent Bermuda Consultation Paper may impact the industry.

Description: Highlight key trends in life and annuity pricing, including pricing assumptions and pricing methodology. Participate in a discussion that includes pricing targets, use of value of new business (VNB), mortality assumptions, use ALM models and pricing scenarios.

Description: Gain a high-level understanding on how long-duration targeted improvement (LDTI) impacts insurance products and earnings. Explore highlights on secondary impacts to companies due to additional complexity of LDTI, such as a need for a source of earnings analysis. Then dive into the details and hear an explanation on how earnings emergence differs for each type of life and annuity product impacted by LDTI. Finally, discuss the impact -to-earnings volatility under LDTI for each product type. Close the session by connecting how the investor story changes with all the impacts discussed during the session.You should walk away with a good understanding of LDTI earnings emergence, which is a topic that has very limited thought leadership available today.

Description: Statutory and GAAP metrics are useful for regulators, investors, and other external parties who require a consistent basis for viewing snapshots of companies at a point in time, however, their uses are more limited for managers who are tasked with making strategic decisions. Many insurers are turning to internally developed metrics such as value of new business (VNB) for better profitability insights at the point of sale and to understand how new business profitability changes over time. By leveraging existing models and reporting processes, insurers can reduce the additional effort involved, applying VNB toward applications such as pricing, capital allocation, and risk management. Discuss key considerations for developing and using VNB. Begin with a brief overview of VNB, including how VNB addresses specific shortcomings of Stat and GAAP. Next, discuss applications of VNB for life and annuity business and conclude with some implementation case studies.

Description: The life insurance industry has been dealing with low interest rate environment for many years. As a result, investment incomes have been low but many have found ways to embrace and deal with it. Recently, the interest rates have started to increase and at times are moving rather rapidly. While a rise in interest rates is perceived as a good thing, a rapidly rising interest rate environment can be problematic. Additionally, is 'lower for longer' no longer the norm? Learn more about the recent trend of rising interest rates and what can actuaries do about it in consideration to pricing and risk management.

Description: Go over how the actuarial processes have changed over the past 10+ years with the move to PBR, US GAAP LDTI, IFRS 17 and other emerging requirements.

Description: Large SEC US GAAP filers implemented LDTI 1/1/2023. Other insurance companies have until 1/1/2025. Learn more about those companies with a 2025 implementation date. What do these companies need to know? What can be learned from the 2023 implementers? What are the biggest hurtles to implementation?

Description: Equity-Based Insurance Guarantee Webcast Series

Description: This webcast will walk through several statistical methods for imputing race and ethnicity from U.S. datasets, highlighting strengths and weaknesses and evaluating accuracy.