Description: The article discusses the continued popularity of indexed UL insurance and possible reasons why a company's actual indexed UL earnings may be below their original pricing expectations for the product. The article discusses several key items that may be the source of that underperformance (e.g., hedge ineffectiveness, policyholder behavior) and the need to monitor earnings and perform analyses to better understand those potential sources.

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: Most insurers operate in a multi-GAAP world: Many U.S. insurers are regulated on a statutory/risk-basec capital (RBC) basis, report to markets under U.S. GAAP, pay taxes on a tax basis of accounting, and manage their business internally on an economic or other basis. In addition, many have overseas entities exposed to even more reporting bases. Reporting requirements are ever increasing and convergence of frameworks is not a reality in most parts of the world.Learn about a multi-GAAP framework to gain a bottom-up understanding of the differences in reserves and other balance sheet and income statement line items across reporting bases, both now and for future projections/plans. Using such an approach enhances insight into the valuation of the business, removes inconsistencies and results in operational efficiencies in the valuation process. At the conclusion of the session, you will learn technical concepts behind the Multi-GAAP framework and some practical ways to design and implement it.

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: While a rising sea helps all ships, the insurance industry is a ship that hasn't seen much water in the past decade. Examine valuation and product management considerations in a high interest rate environment

Description: Equity-Based Insurance Guarantee Webcast Series

Description: Learn from panelists from different companies as they come together to discuss their experiences.

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