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: 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: 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.