Description: Methods and assumptions used in the valuation of savings by external care vendors

Description: The SOA Research Institute has executed research for over twenty years on some repeating themes and topics. The reports build on each other and add content. This article summarizes and discusses a summary report on long-term care, caregiving and housing linked to long-term care and caregiving.

Description: Effectiveness in Administrating Individual Life Insurance Policies

Description: Summary of recent changes to IRS Section 7702 Interest Rates, and how it will impact the design of life insurance products in the future.

Description: In this article, we explore key insights from Oliver Wyman's 2020 Life PBR Emerging Practices Survey, which provides a broad industry perspective with more than 50 companies participating representing 95 percent of the individual life market (by written premium). Insights include the impact of PBR on reserves and profitability in addition to emerging practices related to product design, assumption development, and methodology decisions.

Description: In the United States, there has been much industry discussion of the challenges associated with a sustained low interest rate environment, which impacts both the asset and liability sides of the balance sheet in unfavorable ways. The intent of this article is not to focus on these strategic issues. Rather, we attempt to shine a spotlight on some of the modeling challenges that practicing actuaries may experience when incorporating negative interest rates into their models.

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: Collective Defined Contribution Plans offer an option in plan design that lies somewhere between defined benefit and defined contribution plans. This is achieved by fixing the contributions to the plan, but allowing benefits to fluctuate based on experience. This article provides a basic summary of how they can be structured. There are limitations to their use in the US, but are gaining in popularity elsewhere around the globe.

Description: As a follow-up to a previous five-part series on accounting for ceded reinsurance under LDTI, this article focuses on one issue that has, until now, been left without a general solution—how to measure the reinsured portion of a direct loss from capping a net premium ratio or flooring a liability. After acknowledging limited guidance on the issue, the article describes the various events that can lead to a loss, how reinsurance protects against loss, and how that is translated into formulas for measuring the reinsured portion of a loss.

Description: CMS provides ACOs with monthly claims data for members, including their medical visits and ACO program eligibility. This data can be divided into Membership and Claims tables through the ETL process. However, when calculating PMPY at specific levels of detail using these tables, issues arise due to unrelated dimensions, leading to inaccurate and understated results. This article presents a solution to this problem by utilizing Tableau's data blending capabilities.