Description: The article addresses treatment of products with indirect participating features (e.g. declared credited rates) under IFRS 17. Some of the questions that are answered include classification, stochastic modeling requirements, application of the illiquidity premium, methods to systematically allocate between P&L and OCI, and use of locked in discount rates for CSM purposes.

Description: An overview of how the VM-31 requirements for documenting PBR approaches and assumptions can/should reflect the Actuarial Standard of Practice on Modeling, ASOP No. 56

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: Businesses across the board have been drastically impacted by the effects of COVID-19 over the course of 2020, and insurance was not immune. Perhaps most relevant to this industry’s current capital and liquidity concern is the prevailing low interest rate environment. This has been a global trend in the last decade, and treasury rates in much of the developed world are at or near zero. Reduced investment returns limit an insurer’s ability to achieve their desired return on equity, eliminating previously profitable strategies that depended on the leverage of life and annuity balance sheets. Focus and activity have instead shifted to other methods to counteract the low interest rate markets and accompanying capital strain. Examples include increased mergers and acquisitions (M&A) activity within the insurance industry and an increasing focus by private equity firms in the insurance market for asset-intensive products, both of which reflect the goal of increasing yield rates on capital.

Description: This article is aimed to cover the following: 1) Provides an assessment of income volatility under Long Duration Targeted Improvements (LDTI) for several key types of long duration contracts along with select illustrations, and compares against those under current GAAP, 2) Discuss areas where accounting policies or methodologies can influence income volatility, and 3) Show how a company's management reporting can be adapted to help explain income variances under LDTI.

Description: Update on IFRS 17 including news, how IFRS 17 is impacting companies financials, comparisons to LDTI, and KPIs.

Description: This article discusses key considerations and differences in measurement requirements between IFRS 17 and LDTI, leveraging a term insurance example to illustrate potential impacts on liabilities and, ultimately, earnings emergence.

Description: S&P reissued a second Request for Comment (RFC) in May 2023 that proposed changes to their insurer capital adequacy methodology and assumptions, and suggested these proposed changes may become effective at the end of 2023. This paper is to highlight the notable changes between the current capital model criteria and the proposed model. We also discuss major changes from the first RFC and the second RFC, as well as several key items that still require enhanced guidance and clarification. Our analysis is based on information gathered from S&P's public comments, conversations with industry participants, and publications released by S&P Global as of July 2023 when this paper was written. Most U.S. life insurers are rated by S&P using their U.S. Life Statutory Capital model, while other insurers use the GAAP/IFRS Capital Model. Statutory financials will remain the starting point for U.S. life insurers under the proposed model, however there will be additional adjustments made to these numbers in an effort to create consistency and comparability with other accounting and solvency regimes.

Description: In November 2020 the Life Actuarial (A) Task Force unanimously passed APF 2020-08 which adds a third permissible method in the Valuation Manual to determine company experience mortality rates. This article describes the three methods