Description: This paper provides a summary of the Dec. 2012 summit of the Natural Resource Sustainability Group and invited experts.

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

Description: Many retirement actuaries have experience developing, implementing, and monitoring Liability Driven Investing (LDI) strategies for plan sponsors. These strategies typically involve modifying a plan’s investment strategy to remove a significant portion of the investment and interest rate risk now or at some point in the future when specific triggers are met. The tactics often involve the use of fixed income assets to cash flow and/or duration match the liabilities. In the spirit of helping actuaries expand their roles in an evolving defined contribution world, this article explores the application of LDI and derisking strategies within defined contribution and individual retirement accounts. The economic theory behind this approach is called the lifecycle hypothesis, or lifecycle finance. The benefits of the lifecycle finance method are that it provides a safe approach to save for retirement and a secure source of floor income during retirement. Similar to pension plans, each individual has his or her own idiosyncratic needs, wants, and risks that should be considered. Actuaries are uniquely situated to help defined contribution plan sponsors, individuals, and even themselves implement the lifecycle finance approach by developing and distributing tools and methods that focus on income (rather than wealth), LDI strategies, and personalization.

Description: This article highlights the significant steps being taken by the UK actuarial profession to establish a more focused role in risk management.

Description: This article is based on the author's discussions with many executives of insurance companies regarding the challenges and limitations in ERM at its current state of evolvement. The following areas need to be addressed and improved on, in the author's opinion, to 'take ERM to the next level': 1. Reconciling Risk Concerns of Creditors and Shareholders. 2. Managing of Operational Risk. 3. Execution Risks. 4. Producing Credible and Useful Risk Adjusted Performance Measures. 5. Aligning Performance Metrics with Management’s Performance Measurement Philosophy.

Description: The August/September 2014 edition of The Actuary magazine—the Society of Actuaries’ flagship publication.

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: 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: The five-year moving average of the Actuaries Climate Index (ACI) reached a new high for the sixth consecutive quarter, according to the latest data release that includes summer 2019.

Description: Risk Adjustment continues to be a hot topic in Health Insurance since its emergence. This mechanism came into being as a means of reducing the risk of selection, particularly in marketplaces where underwriting is not allowed, and rating factors are significantly restricted. Risk adjustment serves to adjust premiums to reflect the risk of individual members or overall members as a whole within a particular cohort of a health plan. Risk adjustment is not perfect, as it does not perfectly predict future costs or perfectly adjust for the differences in expected costs. Different marketplaces have different challenges with risk adjustment.