Description: A panel of actuaries and investment experts share their experience with the AG53 requirements for Asset Adequacy Testing. They will discuss challenging areas in the inaugural year of the consideration of complex assets as well as discuss potential areas of future regulatory expectations.

Description: The document is a Request for Proposals (RFP) for a research study on offshore life and annuity jurisdictions' reinsurance landscapes, commissioned by the Society of Actuaries Reinsurance Section. It outlines the background, purpose, research objectives, proposal requirements, selection process, submission details, and other related information.

Description: The recent round of regulatory changes (LDTI, IFRS17, PBR) has put a demand on actuarial organizations, and, in particular, financial reporting functions unlike most have experienced in their careers. With adoption, where does this leave the financial reporting function going forward? What work is left to be done? How will the financial reporting function need to evolve under these accounting regimes?

Description: A call for proposals for research projects exploring recent insurance product innovations and their impacts on the industry. It outlines the background, purpose, objectives, proposal requirements, selection process, submission details, conditions, and conflict of interest disclosures.

Description: Internal modernization initiatives and external changes of the financial reporting regulations (e.g., LDTI, IFRS 17) increase the amount of validation activities for actuarial models. In addition, the use of predictive analytics in actuarial modeling requires a different set of validation skillsets/techniques in model validation. These internal and external forces call for a structured, streamlined and robust model validation practice.

Description: Actuaries are increasingly being asked to incorporate Economic Scenario Generators into their work. Whether it be a Risk Neutral model for pricing or a Real-World version for Economic Capital modelling, using these tools can help produce a much more robust analysis. Unfortunately, these models and their underpinnings are also very complicated, which can lead to confusion. Come watch the presenters try to demystify some of this. In particular, they will address the following questions: • What is the difference between Real-World and Risk Neutral scenarios? • When should I use one or the other? • How are these models calibrated? • What are some of the misconceptions about these models? At the conclusion of the session, attendees will be able to: • Explain the difference between Real-World and a Risk Neutral scenarios • Understand the appropriate usage of both • Identify some of the calibration questions that go into developing an appropriate set of scenarios • Avoid some of the common misconceptions about these scenarios

Description: The Society of Actuaries Research Institute (SOA) and LIMRA are soliciting surrender and lapse experience for individual Term and Whole Life policies for calendar years 2015 through 2022 to be used to complete a 2015-2022 Term and Whole Life Lapse and Surrender Experience Study (Study).

Description: Asset liability management is an important task for any insurer, where tools like Excel play an important role from an analytics perspective. Dashboard tools like Power Bi and Tableau can supercharge an organization’s ability to perform ALM with real-time precision and monitoring of risk/imbalances. The dashboard can provide insights into potential risks posed by asset allocation and concentration, allowing for informed decision-making to mitigate those risks. The presenters will walk the audience through an example of ALM use case, including how to build key performance indicators such as cash flow, asset allocation, and risk exposure. Additionally, we will demonstrate how these types of dashboards can be customized to fit the specific needs of your organization.

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?