Description: In the evolving realm of healthcare actuarial practice, value-based contracts are reshaping the landscape. This article explores the pivotal role of AI-enhanced Electronic Medical Records (EMRs) in empowering actuaries to navigate this dynamic sector. Despite challenges in data standardization, AI-enhanced EMRs offer a solution by extracting and standardizing diverse medical records. The article delineates how AI-EMR integration benefits actuaries and provider organizations, enabling more accurate forecasting, earlier shared savings prepayments, and real-time quality metric aggregation. Moreover, it discusses how this fusion addresses historical data limitations, can help project catastrophic claims, and can help identify risk score capture opportunities. Ultimately, it indicates the transformative potential of AI-EMR synergy, positioning actuaries at the forefront of healthcare analytics with unprecedented precision and insight.

Description: Risk management techniques do not include system science. System science requires that the uncertainty of the world is incorporated into the results. The articles explains the difference between risk and uncertainty. Learn how risk practices create an overoptimistic view of future outcomes.

Description: The article discusses the continued popularity of indexed UL insurance and possible reasons why a company's actual indexed UL earnings may be below their original pricing expectations for the product. The article discusses several key items that may be the source of that underperformance (e.g., hedge ineffectiveness, policyholder behavior) and the need to monitor earnings and perform analyses to better understand those potential sources.

Description: This article delves into the transformative realm of Business Intelligence (BI) tools. We explore the fundamental functionality and structure of these tools, and through case studies illustrate how they offer valuable insights into carrier experience and underwriting dynamics. From real-time data visualization to in-depth data analysis, discover the essential features that empower businesses to make better informed decisions.

Description: How insurers can include a liquidity score and liquidity stress scenarios as part of their asset liability management (ALM) protocol.

Description: This is a paper from the session on the Aging Process at the January 15-18, 2023, 2023 Living to 100 Symposium in Orlando, Florida.

Description: In this article, we collected data from the companies’ roll-forward disclosures related to calendar years 2021 and 2022 on Market Risk Benefit and shared a high-level summary of the Market Risk Benefit volatility that a focus group of companies incurred and summarized the most common ways to mitigate volatility.

Description: This article provides an overview of critical illness insurance: history, product description, and the three primary ways to offer critical illness coverage in the United States. This article also contains an illustration of an issue age premium rate calculation, as well as product features and rating applications specific to the various types of critical illness coverage.

Description: As the insurance industry continues to evolve due to a pandemic and rapidly changing economic and regulatory conditions, the role of data scientists and actuaries has become increasingly important. In an interview with the Atidot data science and actuarial team, we discuss what it is like to work at an InsurTech, how data scientists and actuaries can collaborate, and look at some concrete technical examples of where the innovation is having an impact. This article explores what collaboration can look like and how the role of data science and actuary may evolve in the InsurTech industry in the future.

Description: This article studies the syllabus as a dynamic, interactive teaching tool that informs and is informed by both solutions of complex course problems and student difficulties with these problems.

Description: Future mortality improvement has been a common assumption in life insurance and annuity pricing and forecasting for many years. However, experience over the last decade suggests this might be an assumption that merits reconsideration in the United States. This article will take a closer look at factors that impact mortality improvement trends and discuss why insurers may want to reevaluate product designs to better manage the associated mortality risk. We then introduce a product idea with this in mind, where premiums are based on a life expectancy index and insurers share the risk (and opportunity) or mortality improvement with policyholders.

Description: Actuaries can leverage cluster modeling to reduce model runtime and cloud compute costs, which can be a real concern as companies transition from an on-premise grid to a scalable cloud solution. We consider practical considerations associated with clustering, through both US statutory and US GAAP lenses. Lastly, the results from a variable annuity liability clustering case study are presented.

Description: Actuary Dave Dillon describes his role volunteering his time as a teacher in higher education, including the rewards and challenges that teaching offers. He discusses the importance of being attentive to his audience’s pre-existing knowledge and adapting his presentations accordingly. His work as a teacher typically encompasses three distinct domains: 1) acquainting young students with the actuarial profession, 2) educating non-actuaries about public policy issues related to health insurance (including the Affordable Care Act), and 3) instructing current actuaries on advanced methodologies and principles within the field. Recently he taught a health insurance course for actuarial science graduate students at Georgia State University and lectured at Boise State University’s master's program in Population & Health Systems Management. In every teaching and mentoring opportunity, actuaries can contribute to the expansion and prosperity of the profession and are encouraged to pursue these endeavors.

Description: An overview of guaranteed lifetime withdrawal benefits (GLWB) on registered index-linkedannuity (RILA) products and a stochastic analysis of market risks.

Description: Join us for the Pandemics & Paradigm Shifts: ERM in an Intensely Dynamic World panel discussion, where industry and regulatory perspectives will help provide insight into a number of topics. Expect interactive dialogue opportunities based on the conversation between the panelists and the audience. Key topics that will be conversed about, but the panel is not limited to, include a brief review of historical paradigm shifts and subsequent insurer failures, best practices and an outlook on the ultra-dynamic world of today and consideration of a company's enterprise risk management framework as it affects ratings and insurance department examinations.

Description: A non-technical review of two recent general insurance articles published in the SOA's North American Actuarial Journal. The articles reviewed analyze Pay-As-You-Drive Insurance and Usage-Based Insurance.

Description: An overview of how the VM-31 requirements for documenting PBR approaches and assumptions can/should reflect the Actuarial Standard of Practice on Modeling, ASOP No. 56

Description: A look at the near future and far future of various elements of Actuarial Models as defined through ASOP 51. What is driving the complexity for inputs, calculations, and outputs. Howe will actuaries handle these challenge?

Description: The paper demonstrates that the most popular rationalization for evolving glide paths is flawed and should be discarded. The paper also demonstrates that glide paths should generally evolve for investors that endeavor to optimize outcomes and reevaluate their portfolios regularly.

Description: The article describes the factors that should determine the asset allocation of an employer's QDIA, especially Target Date Funds, and suggests that in general QDIAs have insufficient equity in retirement asset allocations.

Description: Discusses insurance company considerations and approaches when dealing with the complexities of deferred lives within pension plans.

Description: In the United States, there has been much industry discussion of the challenges associated with a sustained low interest rate environment, which impacts both the asset and liability sides of the balance sheet in unfavorable ways. The intent of this article is not to focus on these strategic issues. Rather, we attempt to shine a spotlight on some of the modeling challenges that practicing actuaries may experience when incorporating negative interest rates into their models.

Description: This article summarizes key points from the recently published research paper “Deep Learning for Liability-Driven Investment,” which applies reinforcement learning and deep learning techniques to liability-driven investment (LDI).

Description: In this article, a numerical comparison of two commonly used FIA valuation methodologies is conducted to help insurers decide on the best methodology to use under GAAP LDTI and VM-22. We compared two modeling approaches to project the future index credits with the annual point-to-point crediting formula: Tthe stochastic equity crediting model and the deterministic option budget crediting model. The analysis is then extended to different levels of option budgets and the monthly average crediting formula. The advantages and disadvantages of the two equity return projecting approaches are also highlighted and will be discussed later in the report.

Description: Actuarial Process Optimization is a framework for using technology to support the actuary of the future. In this article, we discuss the capabilities of new technologies and explore examples where they can be used to aid with providing strategic business direction, optimizing skillsets and use of technology, and maintaining governance, control, and risk frameworks.

Description: This report discusses management decision making practices and the need for actuaries to build the appropriate level of variability for management actions in stochastic models to achieve a more realistic range of future experience among the stochastic scenarios.

Description: The monograph walks the reader through the hindsight, insight and foresight building process while discussing theoretical and practical issues supporting the building of valid forecasts with provenance for each of these schema examples. That is, the analyst can document the iterative ‘profiling change processes’ mindscape and landscape elements by which and through which the successful forecast is built. This kind of forecast construction ameliorates the ‘black box’ problem of generating pattern output without an understanding of the pattern’s creation or contextual meaning that is often seen when using other methods, particularly machine learning and artificial intelligence. This issue is discussed, referencing appropriate thought leaders.

Description: This article is the final installment of our three-part series on economic scenario generators (“ESGs”). Part I and II were published in the November 2019 and August 2020 issues of The Modeling Platform. Part III contextualizes the framework for selecting, building, and validating ESGs and focuses on the Academy Interest Rate Generator (“AIRG”), the most commonly used real-world ESG for US actuaries

Description: This is the final article in a five-part series about accounting for reinsurance under GAAP Targeted Improvements to the Accounting for Long-Duration Contracts (LDTI). It looks at some concerns that arise when new reinsurance is purchased to cover previously-issued contracts. The article describes what formal guidance is available. Where that guidance leaves off, the article presents practical solutions to achieving performance objectives.

Description: This article offers ways to make use of Excel more efficient, by applying software development and design principles

Description: The article addresses treatment of products with indirect participating features (e.g. declared credited rates) under IFRS 17. Some of the questions that are answered include classification, stochastic modeling requirements, application of the illiquidity premium, methods to systematically allocate between P&L and OCI, and use of locked in discount rates for CSM purposes.

Description: This article describes Medicare Supplement and short-term care products in more detail, and we compare their risk profiles. We explore the concept that these two products—when offered together—may provide a complementary hedge of certain policyholder behavior risks.

Description: This article analyzes, understands, and discusses the impact of the upcoming Principle-Based Reserving (PBR) on non-variable deferred annuities.

Description: This article describes how to externalize code of Moody's Axis platform to Visual Studio, so that all the actuarial calculation code run through corporate DevOps pipeline. This article gives specific examples of the author has used in his job to accomplish automated model governance.

Description: This is A Value-Based Longevity Index for Hedging Retirement Income Portfolios abstract authored by Jonathan Ziveyi, Kevin Krahe, Michael Sherris, Andres M Villegas for Session 1A of the January 13-15, 2020 Living to 100 Symposium in Orlando, Florida.

Description: There are early indications of a six year cycle in ACA markets reminiscent of the traditional underwriting cycle.

Description: These are the Discussant Comments by Sam Gutterman for the Trends in Life Expectancy and Lifespan Variation After Retirement Session 1B of the January 13-15, 2020 Living to 100 Symposium in Orlando, Florida.

Description: This is the Does Migration Result in Mortality Improvement: A Case Study in Taiwan paper authored by Chih-Kai Chang, Jack C. Yue and Yen-Wen Chen for Session 3B of the January 13-15, 2020 Living to 100 Symposium in Orlando, Florida.

Description: This is the first in a series of articles about accounting for reinsurance under GAAP Targeted Improvements to the Accounting for Long-Duration Contracts (LDTI). It provides an introduction to the topic, giving an overview of what has and hasn't changed. Changes include a few that directly address reinsurance and others that indirectly result from changes to direct accounting and the existing ties between reinsurance and direct accounting.

Description: With many complex regulatory changes on the horizon as well as pressures to ensure model accuracy from auditors, regulatory requirements and new actuarial standards of practice, the importance of robust model validation is coming to the forefront of actuaries’ minds. What was previously a day-two task for many companies is becoming just as important as model development! In this session, you will hear from those that have been deeply involved in building model validation frameworks and tools in responses to regulatory changes GAAP Long Duration Targeted Improvements (“LDTI”) and Principles Based Reserves (“PBR”).

Description: The optional phase-in period for life principle-based reserves (PBR) has come to a close, and companies have put in the work to bring their PBR implementations across the finish line. With the mandatory PBR implementation deadline behind them, companies can turn their attention from compliance to model and process improvements. The presenters will outline lessons learned from PBR implementations and their applications to broader use cases, as well as resources that are available for PBR modelers. Discussion topics will include items such as: Model simplifications and validation Model run-time techniques Model scalability (e.g. adding new products / future assumption updates) Sensitivity testing Model projections Available PBR & other modeling resources (e.g. PBR practice note, ASOP 56)

Description: Actuaries can empower their understanding of policyholder behavior with third party data. Modeling policyholder behavior should start from developing knowledge of who they are, instead of actuaries assuming what a rational behavior should be.

Description: This article will be focused on maximizing the reuse of code using features available within Moody’s Axis specifically targeted at using Formula Link.

Description: The Society of Actuaries Smaller Insurance Company Section, the Financial Reporting Section, and the Committee on Life Insurance Research are pleased to make available new research investigating simplified methods for determining reserves under VM-20.

Description: This is the Demographic Perspectives on the Rise of Longevity paper authored by Marie-Pier Bergeron Boucher, James W. Vaupel and Francisco Villavicencio for Session 4A of the January 13-15, 2020 Living to 100 Symposium in Orlando, Florida.

Description: This article demonstrates how to implement DevOps for data using Moody's Axis. This was described as Model as Data (MAD). It described how extract turn-around documents from the model so they could be loaded back into the model. This feature allows continuous integration, continuous deployment and continuous testing of the model, which are important concepts in DevOps. This will allow the actuaries to speed up the model development cycle.

Description: While our ability to access and analyze large quantities of data is better than ever, many long-term products suffer from sparse data in critical risk areas, such as deep in-the-money lapse experience and long-term utilization rates for income guarantees. The presenters will explore industry-level annuity experience data for these types of situations, and discuss quantitative approaches to addressing them in pricing and other applications.

Description: The hybrid Life/LTC and Life / Chronic Illness market is an exciting market that is in its relative infancy. There are many new companies that have just entered, or are considering entering, the hybrid market. Hybrid sales have grown tremendously over the past decade and are still going strong, with annual premium revenue estimated to be above $4 billion per year. The young issue ages for these products, relative to when LTC benefits are paid, means that the claim experience in the industry for these products is still very limited. Additionally, there are many moving parts to these products that present correlated risks and assumptions. The new entrants to the market, limited experience, and the interactions of risks create an environment equipped for vibrant discussions on the product structure, risks, assumptions, and considerations for modeling these hybrid products. The presenters would provide insight into each of these topics through a conceptual discussion, supported by observational data from case study projections and sensitivities.

Description: The Casualty Actuarial Society, Canadian Institute of Actuaries, and the Society of Actuaries' Joint Risk Management Section and the Joint Risk Management Research Committee are pleased to make available a new report on the application of ERM. Authored by Bonnie-Jeanne MacDonald, Sim Segal, Michael Wolfson and Heidi Walsh, the report provides a novel demonstration on how ERM can be applied to serve the Canadian public by informing decision makers on the risks facing the current and future delivery of long-term care.

Description: The article describes the insurance industry's preparation for pandemic events and the public finance response.

Description: This article introduces a non-traditional type of economic scenario generator that relies on dynamic stochastic general equilibrium (DSGE) models are complex macroeconomics models and have been increasingly popular in central banks for analyzing monetary policies.

Description: This paper introduces actuaries and others to dynamic stochastic general equilibrium (DSGE) models, a type of macroeconomic model. Authored by Kailan Shang, the paper illustrates how DSGE models can be used in economic scenario generation to reflect the cause and effect relationships that occur in the economic system.

Description: This paper introduces actuaries and others to dynamic stochastic general equilibrium (DSGE) models, a type of macroeconomic model. Authored by Kailan Shang, the paper illustrates how DSGE models can be used in economic scenario generation to reflect the cause and effect relationships that occur in the economic system.

Description: Read the April 2020 issue of The Modeling Platform, published by the Modeling Section. Newsletters provide practical information for the working actuary, articles on trends that impact sections and news about section activities.

Description: Institutional investors such as pension plans and insurance companies have enjoyed strong equity returns for a length of time with few historical precedents. Nearly a decade after the end of the financial crisis, strategies to provide downside protection remain expensive and the performance of traditional risk-managed funds has disappointed investors.

Description: The session offers high-level initial steps to get started using R, as well as a list of helpful resources for both general data science and actuarial science with R. Attendees will learn about popular R packages to perform practical tasks such as importing, transforming and visualizing data, as well as packages commonly used by actuaries. You will also be introduced to the markdown package for creating reproducible and reusable analyses and workflows. By the end of the session, you will be familiar enough with using R and RStudio to begin incorporating these tools in your day-to-day work as an actuary

Description: The management of the investments of an insurance enterprise has undergone a considerable evolution since the pioneering work of Redington in the mid 20th century. Best practices have evolved to incorporate ever more complex insurance liabilities, expanding investment asset classes and global market opportunities. Strategic asset allocation (SAA), liability driven investing, and other robust optimization approaches form the core of the professional management of insurance company investments.

Description: This report looks at identifying drivers of systemic risk to China’s insurance industry and develops a measurement method for systemic risk as well as systemic risk dependence between the insurance industry and other industries.

Description: This report looks at identifying drivers of systemic risk to China’s insurance industry and develops a measurement method for systemic risk as well as systemic risk dependence between the insurance industry and other industries.

Description: Read the January 2020 issue of International News published by the International Section. Newsletters provide practical information for the working actuary, articles on trends that impact sections and news about section activities.

Description: The presenters will highlight differences in mortality that result from socioeconomic issues. Topics will include the differences in cause-specific mortality among different socioeconomic classes, trends in these gaps over time, and recommendations for reducing inequalities in life expectancy in the future.

Description: Predictive modeling continues to gain traction in the life insurance industry with the rapid growth of available data and maturity of open source tools. New methods and technology in predictive analytics have enabled the evaluation of extremely large data more quickly and allow us to incorporate features previously not considered. The presenters will provide background on predictive modeling tools and algorithms utilized by actuaries and data scientists for life insurance, highlighting applications from marketing to underwriting.

Description: This third session in the Munich Re series continues with an exploration of responses to the changing workplace landscape from those inside the industry. The presenters will focus on practical approaches to identifying new opportunities, and on ways in which traditional products and sales channels are changing to meet emerging needs. Are voluntary benefits still relevant? Yes, but they are changing. While the first session provided an overview of the future workplace, this session will provide an overview of the current and evolving voluntary benefits market. Sales processes and products will be challenged to change to keep up with the new workplace dynamic. The presenters share strategies for developing products and sales channels that are robust and flexible enough to address evolving customer needs.

Description: The presenters will address innovations in health and wellness designed to mitigate and/or manage mortality risk. The presenters will briefly review the latest research on the leading causes of death and share ways that life insurers and insurtech partnerships are using technology, customer engagement and scientific advances to enhance/extend the lives of policyholders. The presenters will draw from industry research and reinsurer studies and from the latest initiatives in health and wellness innovations.

Description: Legislative changes and the economic environment have created a need for plan sponsors to understand and manage pension risk and volatility. Dynamic asset allocation glidepaths reduce risk as plans become better funded. But what about the risk that plan sponsors face when their plans are underfunded? The presenters will discuss the challenges of managing pension risk when assets don't keep pace with liabilities.

Description: Python is the leading programming language for data science. Python programming is one skill that actuaries should acquire. It facilitates analytic work, and the available visualization tools help to communicate ideas. In this article, I use a traditional actuarial problem, mortality modeling, as an example.

Description: Read the November 2019 issue of The Modeling Platform, published by the Modeling Section. Newsletters provide practical information for the working actuary, articles on trends that impact sections and news about section activities.

Description: This article is the first installment of a three-part series that aims to provide an overview of ESGs and will focus on the general motivation for stochastic modeling, its advantages and its limitations. Future articles will further break down the key factors of ESGs and the application of these factors to better understand the Academy Interest Rate Generator (AIRG).

Description: Representing a large indexed annuity writer, the speakers will discuss the growth and evolution of the market for index annuity products. Moreover, the challenges that growth has introduced and how those challenges are being met. While much of the market consists of simple, accumulation-oriented S&P 500 based strategies with 0% return floors, a significant portion of industry sales come from more complex products with highly customized index strategies and other features, such as living benefit guarantees. Attendees will gain a broad understanding of the indexed annuity market, product and features, operational difficulties in risk management arising from product design, and how actuarial and hedge professionals are managing these issues.

Description: The NAIC has adopted revised VM-21 and AG43 for variable annuities, effective Jan. 1, 2020. The panel of presenters will provide background and an overview of the revisions, discuss detailed aspects of the new CTE Amount Standard Projection and prescribed assumptions, as well as discuss implementation considerations and the implications to hedging. In addition, the panelists will share progress on VM-23, principle-based reserves for non-variable annuities.

Description: Representing a large indexed annuity writer, the speakers will discuss the growth and evolution of the market for index annuity products. Moreover, the challenges that growth has introduced and how those challenges are being met. While much of the market consists of simple, accumulation-oriented S&P 500 based strategies with 0% return floors, a significant portion of industry sales come from more complex products with highly customized index strategies and other features, such as living benefit guarantees. Attendees will gain a broad understanding of the indexed annuity market, product and features, operational difficulties in risk management arising from product design, and how actuarial and hedge professionals are managing these issues.

Description: In this session, a company will share its experience on managing risks underlying the equity-linked insurance guarantees and what lessons were learned over these years as it adapted its strategies to suit the current market environment.

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 speakers will discuss the replication of long-term options, including a discussion of issues such as liquidity, transaction costs, slippage, impact of policyholder behavior, and machine learning algorithms to improve hedge effectiveness.