Description: The introduction and effective application of US GAAP LDTI have increased the scrutiny of those reviewing the updated financial results. That is because LDTI has resulted in significant changes in actuarial reserving and deferred acquisition cost (DAC) models for long-duration contracts, including significant changes to data, assumptions and required disclosures. In light of the changes, greater reliance has been put on companies’ model risk management (MRM) teams and model validations to assess the conceptual soundness and accuracy of their companies’ actuarial models and to assess that the underlying data and process utilized are suitable and appropriate. This article covers a brief background on model validation, walk through a sample LDTI-focused model validation framework/test plan, then provide insights on common LDTI-related validation observations based on the authors' prior validation experience.

Description: As an addendum to a July 2022 article, this article restates the formulas then presented for a framework to measure the reinsured portion of a direct loss from capping a net premium ratio or flooring a liability. The article corrects a flaw in one of the original formulas and shows, by example, how the framework can be applied to a specific application of reinsurance accounting.

Description: Healthcare risk adjustment methodologies have become increasingly complex, largely due to the belief that complexity enhances accuracy. However, a disconnect exists between how healthcare risk is assessed and how payments are adjusted. This article explores the stark difference between measuring the accuracy of a risk assessment model at a member level, and that of a risk adjustment mechanism at the health plan level. I show that a highly simplified approach that does not use diagnosis codes can have similar accuracy on risk adjusted payments to models that do. These findings suggest that accuracy is not a barrier to developing simpler risk adjustment methodologies, which can improve payment accuracy and reduce the financial incentive for coding diagnoses.

Description: The article investigates the reasons behind non-zero financial implications for fully reinsured businesses within the regulatory frameworks of US GAAP Long Duration Targeted Improvements (LDTI) and International Financial Reporting Standards (IFRS) 17. It helps companies grasp the nuances of these standards, thereby enhancing their risk management strategies, improving regulatory compliance and optimizing their decision-making processes.

Description: This article discusses the guidance provided in IRS Notice 2022-6 and prior guidance on whether distributions from an individual account under a qualified retirement plan satisfy the exception to the 10 percent additional tax in Internal Revenue Code section 72(t) for certain substantially equal periodic payments.

Description: An overview of bias and fairness in machine learning models, as they apply to use cases in life insurance.

Description: This article describes how insurers can expand the reach of their efforts with regard to Economic Capital EC into the broader enterprise risk management process. Some experts contend that can be done by shifting the focus towards value. EC has the potential to shed new light on valuable opportunities for insurers.

Description: In July 2007, Mike McLaughlin, FIA, FSA, MAAA, became one of the first individuals to add a new credential from the Society of Actuaries after his name: CERA. Short for Chartered Enterprise Risk Analyst, the CERA is the first new credential from the SOA since it was formed in 1949. While the development of this new international credential was the work of many members over the past few years, McLaughlin was at the helm. From The Actuary Magazine October 2007

Description: Overview of the session “Analytics You Should Know, but Don’t” which took place at the 2007 SOA Annual Meeting in which R, an open source language for statistical computing, was discussed.