Description: Improve your financial reporting knowledge with this SOA e-course. It will help you understand financial statements and regulatory capital requirements.

Description: The Society of Actuaries (“SOA”) Research Institute is the research arm of the SOA, providing objective, data-driven research that brings together tried and true practices and future-focused approaches to address societal challenges and business needs. The Institute provides trusted knowledge, extensive experience and new technologies to help effectively identify, predict and manage risks.

Description: The Individual Life Experience Committee is holding a competition encouraging actuaries and other interested parties to predict 2017 industry mortality based on a data set containg 2009 - 2016 data. The competition is not only about predicting mortality, but also about explaining and presenting the results.

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: 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: Keynote Speaker: J.D. Kleinke, Author and Medical Economist J.D. Kleinke has been instrumental in the creation of four health care information organizations; has served on the Boards of several health care companies; and spent many years advising both sides of the political aisle on non-partisan, practical approaches to health policy and legislation.

Description: Table of contents for the 1999 Spring meeting of the Society of Actuaries, held in Seattle, Washington

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

Description: This article is an update on the No Surprises Act, which is a U.S. Act aimed to reduce the risk that a person unexpectedly receives out of network charges for their health care visits. This is Part 2; Part 1 was featured in Health Watch's Sept 2024 issue.