Description: Current tax issues affecting the insurance industry, including the Inflation Reduction Act (Budget Reconciliation Bill)'s tax provisions, including the corporate minimum book income tax and share repurchase (or stock buyback) excise tax; the tax treatment of non coordinated benefits (also known as fixed indemnity benefits); and an update on the OECD’s Base Erosion and Profit Shifting Project

Description: During the past few years, performance, cost, and risk trends for Medigap products have undergone substantial changes. Some of these trends could ease cost pressures on Medigap insurers, while others might increase them. Part 1 of this Issue Brief article discusses current changing trends and considerations around about how they are impacting Medigap.

Description: TAXING TIMES recently sat down with a group of retired tax actuaries to hear about how they got involved in actuarial tax matters and how their tax experience impacted their careers. Their insights will be useful for actuaries who are just starting out in the profession, as well as more seasoned actuaries.

Description: InsurTech Q&A

Description: Discusses a major campaign to change the image of the actuary.

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 2024 Actuarial Teaching Conference (ATC) provided an engaging platform for actuarial educators to explore current trends and challenges in the field. Organized by a diverse planning committee, the conference introduced new interactive formats, including roundtable discussions that encouraged in-depth dialogue on key topics such as artificial intelligence, student behavior, and experiential learning. One of the major highlights was the strategic focus on networking, with efforts made to facilitate connections before, during, and after the event through digital platforms. Challenges such as selecting diverse yet cohesive presentation topics and scheduling concurrent sessions were effectively addressed by aligning themes with participants' interests. Feedback from attendees was overwhelmingly positive, particularly regarding the innovative roundtable format, which fostered meaningful conversations and idea exchange. The success of this conference was attributed to meticulous planning, adaptability, and a commitment to innovation, setting a high standard for future ATCs.

Description: S&P Global released its initial version of proposed changes regarding its Insurer Risk-Based Capital Adequacy methodology and assumptions on Dec. 6th, 2021. Unlike prior guidance notes or criteria releases, the proposed changes comprehensively updated the current S&P rating criteria released in 2010. These updates would directly impact many insurers. S&P Global anticipates that 10 percent of existing ratings in the insurance sector would be impacted and the change would lead to more positive rating implications than negative impact. This article focuses on the proposed changes on the S&P risk-based capital (RBC) vs. the current model, then simulate impacts to a representative U.S. life insurer through an illustrative case study.

Description: The traditional defined-benefit (DB) plan is a type of plan structured to provide the greatest degree of retirement income security, designed to pay out a guaranteed retirement income for the life of the retiree (and, when applicable, a beneficiary). However, over the last several decades, the number of private-sector employees covered under these traditional plans has decreased dramatically and been replaced by defined contribution (DC) plans. In contrast, public-sector retirement plans, which are exempt from ERISA, have seen a much smaller decline in DB plans. There are many differences in the private and public sector that likely contributed to this phenomenon, but ERISA and the many amendments to it has been a major factor.

Description: Actuaries are leveraging predictive modeling and machine learning more and more as they strive to provide greater value to their stakeholders. Actuarial standards of practice provide guidance around modeling and data. The world has changed significantly over the last few years, so it is important these models be tested for fairness as well as any statistical biases. This article addresses some of the key issues actuaries need to be aware of as Corporations and society work through the responsible us of this technology and underlying data.