Description: This article provides an update, as of September 2019, on the Reinsurance Section’s sponsored research in process and studies recently completed.

Description: The SOA Research Institute and LIMRA have completed the most up-to-date study of variable annuity contract owner behavior. Learn more about this vital resource for actuaries working with annuities.

Description: An exploration of drivers, cohorts and dynamics for policyholder behavior for VA and FIA based on industry experience data, including changes in recent years and the emergence of long-term data in key areas. We will also discuss critical elements to developing a sustainable and coherent framework to translate this complex experience data into assumption models.

Description: The presenter will discuss North American actuarial careers. He will provide an overview on actuaries in the United States and Canada, including his personal experiences. He will also discuss supply and demand of actuaries in North America.

Description: Often actuarial practitioners are faced with working with data that is less than ideal. The data may be observed with gaps in it, a model may suggest variables that are observed at different frequencies, and sometimes predictive analytic results are very fragile to the inclusion or omission of just a few observations in the sample. Data, particularly big data, are often "messy" and something must be done about it. What is the actuary to do about these very practical matters? These types of questions are what this presentation is intended to address. Concerns on missing data, outliers, nonlinearity, mixed-frequency, cross-correlations are illustrated using real datasets in the Asia-Pacific countries. Some possible solutions to the messy data problems will be discussed.

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: Often actuarial practitioners are faced with working with data that is less than ideal. The data may be observed with gaps in it, a model may suggest variables that are observed at different frequencies, and sometimes predictive analytic results are very fragile to the inclusion or omission of just a few observations in the sample. Data, particularly big data, are often "messy" and something must be done about it. What is the actuary to do about these very practical matters? These types of questions are what this presentation is intended to address. Concerns on missing data, outliers, nonlinearity, mixed-frequency, cross-correlations are illustrated using real datasets in the Asia-Pacific countries. Some possible solutions to the messy data problems will be discussed.

Description: Summary of research project designed to document method to credit interest rates to account value based products. The investment year method (IYM) can theoretically align with investment strategy and be fair to policyholders. These products were designed in the 1980s with guaranteed nominal rates above what is currently accessible so most products credit the guaranteed rate. This paper documents how it could be resurrected during the next interest rate cycle.

Description: In this article, we explore key insights from Oliver Wyman's 2020 Life PBR Emerging Practices Survey, which provides a broad industry perspective with more than 50 companies participating representing 95 percent of the individual life market (by written premium). Insights include the impact of PBR on reserves and profitability in addition to emerging practices related to product design, assumption development, and methodology decisions.

Description: Market consistent valuations require path-dependent discounting for scenarios. IFRS 17's requirement to discount best-estimate cashflows using locked-in rates could give non-sensical results in many instances. This article describes a technique for calibrating each of the scenario's cashflows so that they can be discounted with other discount factors or curves without distorting the value of underlying options and guarantees.