Description: Article provides a brief summary of the highlights from a survey completed in fall 2018 covering Emerging Risks. This is the 12th iteration of the survey and provides trends and qualitative comments from respondents on a variety of ER and ERM topics. Climate change and cyber risks continue to lead the responses.

Description: Article provides a brief summary of the highlights from a survey completed in fall 2018 covering Emerging Risks. This is the 12th iteration of the survey and provides trends and qualitative comments from respondents on a variety of ER and ERM topics. Climate change and cyber risks continue to lead the responses.

Description: Mandatory implementation of life principle-based reserves (PBR) is just around the corner and there is no shortage of work to do, as most products have yet to be moved to PBR. Oliver Wyman recently completed its 2019 PBR survey, with more than 40 participants covering 85 percent of the individual life market, including 23 of the top 25 life writers and five reinsurers. This article will expand on the key survey findings, including implementation trends, analysis to date, model robustness and common simplifications.

Description: This article, Spreadsheet Controls Add Risk Resilience, spotlights why spreadsheets have stood the test of time and how they help contribute to an actuary’s success. It also discusses common causes of data integrity issues relative to spreadsheets. And, offers insight into controls that can be utilized to helps actuaries solve these issues and ensure the accuracy and consistency of the data on which they base their analysis.

Description: This article Provides a description of an IRS Directive that provides a safe harbor tax reporting position for computing tax reserves for pre-2018 tax years for annuity contracts subject to AG43 and VM-21 and life insurance contracts subject to VM-20 Principal Based Reserves methods. The safe harbor is required to be implemented on the 2017 tax return, with certain spread amounts in some cases to future tax years starting in 2018.

Description: This paper examines the Australian actuarial qualification process from the perspective of what makes a good education system, and notes that there are a number of constraints imposed by the profession that impair the quality of students’ learning outcomes. The paper goes on to suggest how these pitfalls might be avoided in the interests of providing future actuaries with an opportunity to develop the attributes they will need for their professional careers. From Actuarial Research Clearing House, 2006.

Description: This is the fourth report in a series on the current state and future opportunity of the retirement market in China. In this report, edition four of the series, you will learn about the various options available to individuals to fund their retirement.

Description: On February 15, 2022, the Association Forum Health Care Collaborative, a collection of metropolitan Chicago based Healthcare associations, held its winter event. This virtual gathering featured two sessions titled: “Healthcare Policy Perspective” and “Megatrends and Tipping Points that will Define Success in the "New Normal".

Description: Mortality Model Selection and Combination in RAlternative approaches for selecting mortality models and forecasting mortality have been proposed. The usual practice is to base mortality forecasts on a single mortality model selected using in-sample goodness-of-fit measures. However, cross-validation and other alternative out-of-sample measures are increasingly being used in model selection, and model combination methods are becoming a common alternative to using a single mortality model. Such methods combine predictions from multiple mortality models to reduce model choice uncertainty and improve forecast accuracy. Explore techniques to select and combine mortality models using the freely available open source R package CoMoMo (https://github.com/kessysalvatory/CoMoMo), which extends the widely used R package StMoMo (https://CRAN.R-project.org/package=StMoMo). We will use data for the USA and other countries to discuss and demonstrate four different model combination approaches including simple model averaging, Bayesian model averaging, model confidence set, and stacked regression ensembles.

Description: "Living to 100 in the time of COVID-19: A Study of Late –Life Mortality Trajectories, Leonid A. Gavrilov, Ph.D., Natalia S. Gavrilova, Ph.D., Academic Research Centers, NORC at the University of Chicago Swedish Mortality Does Not Decelerate in Recent Cohorts, or Does it? – Roland Rau, Ph. D., Professor, University of Rostock & Max Planck Institute for Demographic Research, Rostock, Germany; Marcus Ebeling, Ph.D., Karin Modig, Ph.D., Associate Professor, Anders Ahlbom, Ph.D., Professor Emeritus, Karolinska Institute, Stockholm Sweden; Kai Kaufhold, Aktuar DAV, Ad Res Advanced Reinsurance Services GmbH, Cologne, Germany; Annika Ziegler, Lukas Stake, Hochschule Koblenz & Ad Res, Germany"