Description: Experience report for life insurance policies with face amounts of $1 million or higher.

Description: "Visual storytelling is frequently used to effectively convey complex actuarial concepts to our clients and other audiences. When talking about data visualization, we often focus on the explanatory aspect. But data visualization is also a crucial tool in developing insights from large and complex data sets at every stage of data analytics spectrum: • descriptive (what happened?), • diagnostic (why it happened?), • predictive (what will happen?), • and prescriptive (how do I influence what will happen?). In exploratory and modeling stages of data analytics’ project, we let the data tell the story or explore our intuition and hypothesis through data pictures. We demonstrate the power of visual display in healthcare data analytics through vivid examples from the healthcare case studies. These illustrations of data visualization exploratory power range from assessing the quality of data or examining outliers, to exploring variables’ relationships and trends, to hypothesis testing, to guiding in feature selection and models’ comparison and evaluation, to model validation. Throughout these illustrations, we will discuss principles of graphical effectiveness, excellence and integrity."

Description: The Smaller Insurance Company Section, the Committee on Life Insurance Research and the Product Development Section announce the release of a new report on the impact mortality credibility has on principle-based reserves.

Description: The Society of Actuaries Product Development Section, the Modeling Section, the Reinsurance Section and the Financial Reporting Section announce the release of a new research report that introduces a novel framework for leveraging the "architecture" of an industry mortality table within a company's predictive analytics-based insured mortality analysis.

Description: Read the April 2019 issue of CompAct, published by the Technology Section of the Society of Actuaries.

Description: Discussion and Opinion on how randomness affects measurement of provider contracting risk-sharing agreements

Description: Through much of the Baby Boomer generation's working lifetime, retirement planning focused on asset accumulation. Strategies like Dollar-Cost Averaging and Asset Diversification became well understood by nearly everyone in the retirement industry. As those assets move into the payout phase (post retirement), the appropriateness of those strategies becomes less clear. Presenters will aim to exhibit and explain how and why adding a Single Premium Immediate Annuity (SPIA) or Deferred Income Annuity (DIA) to a retirement portfolio can help to minimize a retiree's chance of outliving his or her income, and why sellers of annuities should focus more heavily on these product offerings. At the conclusion of the session, attendees will be able to - Identify the reasons why effective asset accumulation strategies may be ineffective in the decumulation phase of retirement - Evaluate the benefit of using at least a portion of accumulated retirement assets to purchase a fixed income stream that the annuitant is guaranteed not to outlive - Explain the benefits of a SPIA/DIA focus to other industry practitioners

Description: This session will cover lessons learned during the course of implementing PBR by the panelists. It will focus on areas that were difficult to interpret, unexpected issues and managing the process. It will focus on potential stumbling blocks from an implementation, pricing and product development standpoint. There will also be an overview of YRT treatment to date and an update on any emerging best practices.

Description: The Canadian Institute of Actuaries and Society of Actuaries Committee on Life Insurance Research, the Product Development Section and the Financial Reporting Section, sponsored this study investigating how the Canadian life insurance industry is utilizing predictive modelling.

Description: Report to give actuaries practical information and guidance on LTD claim credibility for case level pricing and underwriting. Stage 2 of the GLTD Credibility Study, this analysis was expanded using the industry data gathered during Stage 1.