Description: While the major market crash subsequent to the widespread contagion of the COVID-19 virus was readily predictable, the rapid recovery and ongoing growth subsequent to it was not. Market dynamics around the recovery resist characterization by most traditional analytical approaches. In examining the circumstances around the emergence of a large retail class of investors, one sees that ingrained human tendencies, particularly optimism bias, have fueled much investor behavior responsible for the recovery. Understanding this makes it possible to predict potential future crashes and develop behavioral interventions for subsequent market recoveries.

Description: Re/insurance rates have been increasing since 2018, although pricing momentum has decelerated recently. Insurers and reinsurers are working to enhance profitability and improve the value proposition for clients in an environment of uncertainty about natural catastrophes, COVID-19-related losses, and social inflation, among other factors. This article describes drivers of the current underwriting cycle, compares it with past cycles, and provides considerations for the future.

Description: This article provides an overview of behavioral economic theory as it relates to health and welfare insurance plans and provides summaries of two sample applications of the theories: enrollment in health insurance exchanges created by the Patient Protection and Affordable Care Act, and product design considerations in light of vast health illiteracy.

Description: MACRA not only impact providers, it will impact the entire healthcare market. MACRA published studies and commentary to date have primarily focused on providers, with the majority of the information addressing the impacts to clinicians. However, our investigation indicates MACRA has far reaching impacts to payers as well as providers. MACRA is impacting each geographic market and line of business in a unique way, and health payers will have multiple strategic decisions to consider given the changing market dynamics.

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.