Description: Discover more about key Economic Scenario Generation (ESG) topics that are relevant for actuarial applications. Expect a focus on risk-neutral / market-consistent ESGs, like setting long term assumptions and scenario reduction. Long tern assumptions will focus on a basic introduction to challenges in deriving long term assumptions and key concepts to better understand how those are set. Come explore a basic overview of scenario reduction techniques and challenges as well as common sense criteria to address the reasonableness of the reduction.

Description: In preparing claims reserves in the annual statement, health insurers and their opining actuaries will generally include a provision for adverse deviation (PAD) in their reserved amount in order to satisfy language in both in the National Association of Insurance Commissioners (NAIC) Health Annual Statement Instructions and in Actuarial Standards of Practice. This article explores the total level of PAD (both implicit and explicit margin combined) included in the reported claims reserves by examining NAIC filing data from 2016 through 2022.

Description: This article helps companies better understand the currently proposed upcoming VM-22 regulation by comparing the VM-22 measurement model to LDTI MRBs. The article highlights key considerations as companies plan for adoption of these two measurement models. These considerations should help inform a company’s strategy related to the business impacted by these standards.

Description: Gain insight into lessons learned from VM-20 implementation and recent regulatory updates such as the introduction of future mortality improvement (FMI), changes to the economic scenario generator (ESG), and the recently adopted AG AAT. By attending the session, you will: •Have a high-level overview of recent VM-20 updates and hot topics, such FMI and ESG updates•Understand the challenges presented by PBR implementation, and the implications of performing multiple critical and required system updates simultaneously•Improve your understanding of the development and implications of the AG AAT

Description: Overview of regulations and best practices for governance of PBR valuation processes, including standards, oversight, controls and review related to the PBR analysis

Description: Sustainable operations under changes in accounting principles and solvency standards

Description: The article “IFRS 17, Economic Volatility, and Reinsurance” (IFRS 17, Economic Volatility, and Reinsurance | SOA) was designated the best article published in Reinsurance News in 2022. It looks at providing industry insights on preparing for the new global accounting standard. The article was submitted by Paul Sauvé (RGA) and it appeared in the June 2022 issue.

Description: Edited Content: Discover more about key Economic Scenario Generation (ESG) topics that are relevant for actuarial applications. Expect a focus on risk-neutral / market-consistent ESGs, like setting long term assumptions and scenario reduction. Long tern assumptions will focus on a basic introduction to challenges in deriving long term assumptions and key concepts to better understand how those are set. Come explore a basic overview of scenario reduction techniques and challenges as well as common sense criteria to address the reasonableness of the reduction. Provided Content: The overall objective would be to introduce key ESG (Economic Scenario Generation) topics to actuaries, with two topics below that are relevant for actuarial applications. We intend to focus on risk-neutral / market-consistent ESGs. 1. Setting long term assumptions o A basic introduction to challenges in deriving long term assumptions and key concepts to better understand how those are set 2. Scenario reduction o A basic overview of scenario reduction techniques and challenges as well as common sense criteria to address the reasonableness of the reduction

Description: IFRS 17 and US GAAP LDTI represent the biggest accounting changes for life insurers in decades and both become effective starting January 1, 2023. While many are familiar with the forthcoming changes under either IFRS 17 or LDTI, users of financial statements will need to be able to translate between the two accounting models (or at minimum, understand both models) when reviewing the financials of multi-national insurers. Learn about earnings expectations under both accounting models and compare and contrast product features performance, measurement requirements (including key policy decisions), and financial statement presentation under IFRS 17 and LDTI for traditional life insurance products. Explore illustrative examples as well as anecdotes from first-hand implementation experience to solidify the key themes and insights. By attending the session, you will:•Understand the impacted components of the financial statement for both IFRS 17 and LDTI as well as be able to translate between the two different presentations.•Describe the key methodology differences between IFRS 17 and LDTI and how those differences will impact earnings.•Describe the advantages and disadvantages of accounting for an insurance product under IFRS 17 versus LDTI.•Describe expected earnings impacts for traditional life products under both IFRS 17 and LDTI.

Description: ALM and hedging can reap significant benefits from innovation in computation and operations research. Explore applications of static and dynamic optimization in two different ALM and hedging use cases. Insurers are increasingly moving offshore by establishing Bermuda captive reinsurers. In calculating the Bermuda Best Estimate Liability ('BEL'), reinsurers will need to segment assets to support liabilities in each treaty. A Linear Programming ('LP') problem can be formulated to tactically select assets in a way that minimizes the BEL and consequently the total asset requirement. Learn more about what US Variable Annuity Insurers face with the regulatory requirement to reflect 'future hedging strategy' in their statutory funding calculation. The traditional numerical method of finding the optimal hedging target and then allocating assets may encounter the curse of dimensionality with expanding product and economic environment complexity. A Reinforcement Learning algorithm may well fit this problem and provide insurers a solution for dynamic hedging.