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

Description: A paper demonstrating how to obviate the need for market timing strategies in variable annuity products by judicious use of product design. The paper presents the premise behind the product design, provides numerical examples, then explores possible extensions of the concept to produce more sophisticated variable annuity plans based on guarantees of investment outcomes.

Description: Provides an update, as of September 2022, on Financial Reporting Section sponsored research projects in process and those recently completed.

Description: A look back over 20 years to see how product topics of the day have changed and remained the same.

Description: The summary and introduction of an SOA research paper that explores valuable insights and recommendations for insurance companies considering entering the market of commercial long-term care insurance (LTCI) in the Asia-Pacific, based on individual health status.

Description: This article discusses considerations for statistical biases that may arise in LTC blocks due to historical benefit reductions. The article explores these biases in the context of experience studies and experience projections.

Description: Review of non public options to finance care including personal savings, revers mortgages, family care and private insurance.