Description: This article describes a simple but powerful tool for use by valuation actuaries and auditors when evaluating current assumptions for use in GAAP net premium reserve methods that require retrospective updating for actual experience and assumption changes. As a supplement, this tool can fill some holes left by existing tools. It produces results that can be compared to materiality thresholds at any level of aggregation, from a single reserve cohort up to the combination of all cohorts for all products subject to retrospective net premium reserve requirements. It can also serve as a benchmarking tool for estimated the possible effects of an assumption change or to help in explaining the effects of an actual assumption change.

Description: This article demonstrates that the alternative method of adjusting DAC amortization for actual experience fails to serve its purpose if amortization is based on amounts in force at the end of a reporting period. In that situation, the method would increase the amortization rate for excess terminations. Applying that increased rate to a lower basis, however, does not reliably reduce the unamortized DAC balance as required.

Description: Introduction to the purposes and roles of “Lifric”, an acronym for the American Academy of Actuaries working group, Life Financial Reporting Committee

Description: A reflection on the need/desire for one right answer when there isn't one

Description: Performance measurement is not the primary purpose of either GAAP or statutory accounting. This article discusses alternative methods of reporting used by life insurance companies to better measure financial performance.

Description: The SOA textbook related to US GAAP for insurers has been updated. It incorporates the recent GAAP changes, including Long Duration Targeted Improvements, and now covers both life and non-life insurers. This is an essential updated for anyone working with US GAAP financial statements, whether you are an actuary or other finance professional.

Description: A discussion of alternative meanings to “Best” in best estimate. When one is trying to estimate a result that is normally distributed, the mean, median and mode will all equal one another. However if the results are not normally distributed, different variance metrics will result in different “best” estimates. When different parts of a financial statement use different criteria for measuring best estimates and different processes for handling variances, the results can be volatile, unpredictable and perhaps unreasonable.

Description: This article reviews why financial reporting controls are relevant to actuaries. It also discusses the impact of LDTI on controls and the strategic decisions that insurers need to make.

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: 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.