Description: This article Provides a description of an IRS Directive that provides a safe harbor tax reporting position for computing tax reserves for pre-2018 tax years for annuity contracts subject to AG43 and VM-21 and life insurance contracts subject to VM-20 Principal Based Reserves methods. The safe harbor is required to be implemented on the 2017 tax return, with certain spread amounts in some cases to future tax years starting in 2018.

Description: The article provides an introduction to tax accounting for U.S. life insurance companies, with a focus on NAIC statutory accounting concepts. The author discusses permanent and temporary differences, the current tax provision, and deferred tax accounting requirements, including admissibility testing under SSAP No. 101.

Description: This article briefly summarizes the history of the Passive Foreign Investment Company (PFIC) tax regime. Then it provides a detailed description of the PFIC proposed regulations issued in July of 2019.

Description: The article analyzes Private Letter Ruling 202031008, which considers how Internal Revenue Code sections 72(q) and (u) apply to an annuity contract issued to a trust. In particular, the Ruling interprets the terms “taxpayer,” “holder” and “held by” in those Code sections in situations where a non-qualified deferred annuity contract is issued to a grantor trust or a non-grantor trust. The Ruling’s analysis and conclusions differ in some respects depending on which of these types of trusts is involved. In addition, although the Ruling does not address sections 72(s) or 72(e)(4)(C), the Ruling has potential implications under those provisions because they also use the term “holder” and “holds,” respectively.

Description: This article gives a listing of outside vendors and resources for supporting a small office. Resources include IT support, organizations, professional services, and internet resources.

Description: This article explains the importance of centralizing modeling departments. It goes further and explains the importance of making all aspects of modeling reusable. It explains the consequences of decentralization.

Description: Description of methods for extracting and reformatting the existing mortality tables using R. Methods and formats for storage are discussed in the second article. Intent is to generate discussion regarding the format of our stored mortality tables. Value is in the demonstration of task automation in R and in the reduction of duplicate work across companies related to reformatting tables.

Description: On October 4–5, 2025, actuarial educators and researchers gathered in New Orleans for the Actuarial Mathematics and Actuarial Education Special Session at the American Mathematical Society (AMS) Fall Southeastern Sectional Meeting. The event brought together seventeen speakers from universities, professional societies, and industry to discuss the future of actuarial education, practical applications of actuarial methods, and advances in actuarial modeling. The session featured rich discussions on artificial intelligence in actuarial education, experiential learning through case studies, competency-based assessments, and industry-integrated research courses. Applications-focused talks addressed mortality shocks from COVID-19, disaster aid modeling, queuing systems, health and longevity metrics, healthcare reserving, flood risk in real estate, and value-based insurance contracts. The final segment highlighted advanced actuarial models, including optimal insurance with incentives, variable annuity hedging, extreme risk inference, AutoML for insurance, and privacy-preserving data collaboration. Overall, the session emphasized collaboration, innovation, and adaptability as essential for advancing actuarial science in an era of rapid technological and societal change.

Description: This article summarizes the second Simon Conference for young researchers in Actuarial Science, Risk Management, and Insurance, which took place at Michigan State University last November. The intent is to publicize the event and promote future participation in similar conferences of young researchers. The article will contribute to expanding the horizons of actuarial research performed by the academic community. Participation in the conference also gives professional development opportunity for practicing actuaries.

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.