Description: Summary of recent changes to IRS Section 7702 Interest Rates, and how it will impact the design of life insurance products in the future.

Description: In the wake of the pandemic, much of the insurance industry is now endeavoring to find sustainable, longer-term solutions among many forced innovations – and to ensure that temporary adaptations add value beyond mere change.

Description: This paper applies the research in Prospect Theory of Kahneman and Tversky to explain why sales of annuities lag sales of life insurance products. The author theorizes that life insurance is easier to sell because customers perceive themselves to be in the domain of losses, while potential annuity customers perceive themselves to be in the domain of gains. Kahneman and Tversky showed us that people are mostly risk averse in the domain of gains and risk seeking in the domain of losses. Purchase of an annuity or life product is a risky investment. Customers will find it easier to take the risk in the life insurance domain of losses than the annuity domain of gains. The author then proposes a hybrid life annuity product that might address both mortality and longevity risk in one product that would allow both products to be more competitive than stand-alone products.

Description: In the spring of 2019, Dr. Cai started to serve as the Actuarial Science Program coordinator at Salisbury University, a medium-sized public teaching school in Maryland. At that time, the program was small, with only two faculty members who focused on both statistics and actuarial science, with approximately 10 students. During the next five years, the program did make some achievements in curriculum development, student exam preparation, job placement, and recognition, but Dr. Cai continued to have a dream to make the program unique. Dr. Cai believed that the skill sets students learned, even from a small program, could enable them to compete with anyone on a global basis. In spring 2024, Dr. Cai advised a group of exceptional actuarial students to participate in the 2024 Society of Actuaries (SOA) Student Research Case Study Challenge (SRCSC), and the team won third place – —behind two teams from the University of New South Wales, Australia. This article is the story of the journey.

Description: With more than 24 years of experience in the reinsurance market, Bruno Freire is the CEO and one of the co-founders of Austral Re, along with Vinci Partners, a private equity firm. Austral Re is a Brazilian- based multiline reinsurer which that writes business across Latin America. It has grown organically throughout the last 13 years, and had its credit rating upgraded to A- in 2023 by AM Best (it also has AAAbr from S&P). Before joining Austral, Bruno had been a reinsurance broker at Aon Re for more than 10 years, having witnessed the opening of the reinsurance market in Brazil. As we will be seen in his interview the following, he believes in a data driven analytic approach, client focused but with an underwriting mindset, as well as a strong support from actuaries and technology as key instruments to run a reinsurance company successfully.

Description: An introduction to the methods and parameters for Bayesian Hyperparameter Optimization in a Life Insurance context.

Description: Article presents a potential role for pension actuaries to help assess the effectiveness of defined contribution plans.

Description: Python has become the fastest-growing major programming language in the world. It has surged in popularity over the last decade, following the development of its industry-leading capabilities in data science, machine learning and artificial intelligence, and it is now one of the most globally popular and widely used languages. In this article, I discuss some of the reasons for its popularity and explain why many actuaries and insurers have started using Python.

Description: CMS provides ACOs with monthly claims data for members, including their medical visits and ACO program eligibility. This data can be divided into Membership and Claims tables through the ETL process. However, when calculating PMPY at specific levels of detail using these tables, issues arise due to unrelated dimensions, leading to inaccurate and understated results. This article presents a solution to this problem by utilizing Tableau's data blending capabilities.

Description: Article describes accomplishments as Chair during the year. Four accomplishments are mentioned: i) Actuarial Research Conference ii) Early Career Award, iii) Establishment of Outstanding Educator Award, iv) Push to create surveys from the section containing a reservoir of ideas that can be used for webinars, podcasts, etc.