Description: GAAP's elimination of gross profit as a basis for amortization of deferred acquisition costs enables the accounting for reinsurance of universal life contracts to better reflect the economic protection provided by reinsurance. It also makes it easier to assess the effectiveness of different techniques. Building on the analysis of an earlier article, "A Fresh Look at Accounting for Reinsurance of Universal Life," this article presents a practical approach to estimating the ineffectiveness of several existing techniques at accounting for the economic protection provided by reinsurance. The article ends with a summary of what a company might do to improve the effectiveness of its reinsurance accounting.

Description: This article is an interview of Stuart Klugman, senior staff fellow for Education at the SOA, who explains the changes to the pathway to earn the ASA designation.

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: Life and annuity markets around the world have seen increasingly complex investment-combined products, including universal life, fixed indexed annuities, variable annuities with a wide variety of guaranteed benefits, indexed variable annuities, etc. Insurance companies are facing unprecedented exposure to financial risks in addition to traditional mortality and longevity risks. The risk assessment and modeling for such complex designs by conventional methods often focus heavily on their market competitiveness and profitability. However, there seems to be a lack of quantifiable and systematic approach to assess investment risks associated with investment combined products. The objective of the proposed work is to develop a framework for quantifying and analyzing various forms of contractual designs and showcase different techniques to assess the trade-off between competitive contractual designs and their practical implications with regard to the difficulty of risk management.

Description: The Risks Analytics Symposium 2022: Actuarial Perspectives on Climate Change was a hybrid half-day event where university students, as well as academics and industry professionals, had the opportunity to network and view live discussion panels in-person at UIUC or virtually through Zoom.

Description: The SOA Committee on Living to 100 Research Symposia is pleased to present the following essays on recent old age mortality, mortality improvement trends and social issues on aging populations.

Description: This article delves into the transformative realm of Business Intelligence (BI) tools. We explore the fundamental functionality and structure of these tools, and through case studies illustrate how they offer valuable insights into carrier experience and underwriting dynamics. From real-time data visualization to in-depth data analysis, discover the essential features that empower businesses to make better informed decisions.

Description: Accounting Standards Update No. 2018-12, Financial Services – Insurance (Topic 944): Targeted Improvements to the Accounting for Long-Duration Contracts (LDTI) has been effective for most large, public business entities since 2023 and will be effective for other insurers in 2025. While the guidance clarifies the need for incorporating claim liabilities and premium accrual balances in the liability for future policy benefits (LFPB) under LDTI, companies may still have questions given there are limited details available around the techniques used in practice. In this article, we demonstrate the need for incorporating claim liabilities and premium accrual balances in the LFPB under LDTI. We also look at two potential approaches of incorporating these accrual balances.

Description: In recent years, vast amount of data from emerging experiences has helped insurers gain a deeper understanding of their policyholders and the factors driving their behaviors. However, due to limitations in traditional experience study methods, this understanding typically remains at the cohort level. This series of articles proposes a novel machine learning-based model that analyzes and predicts policyholder behaviors at the individual policy level. Policyholder embedding representations are learned using a Recurrent Neural Network (RNN) that takes into account the sequence of historical transactions associated with a policy. Additionally, a Neural Network with a multi-head architecture is trained to predict the policyholder's next action based on the policyholder embedding and other policy attributes. The resulting model offers several advantages over traditional experience studies and assumption-setting methods, including the ability to set policy-level assumptions that improve reserve accuracy, predict multiple behaviors simultaneously while capturing the interrelationships between them, and generate policyholder embedding representations that are useful for segmentation.

Description: As actuaries, we’re trained to see patterns in numbers and to design solutions that mitigate risk. But I can tell you from experience that while quantitative analysis and modeling are critical actuarial tools, looking at the numbers alone can lead to insurance products that don’t succeed in the real world the way the math says they “should.” With new digital technologies, we have more data at our fingertips than ever before, but I believe it’s equally as important to bring qualitative research methodologies into your product development process if you want to design solutions that meet real needs in the market. In this article, Amanda Turcotte shares what happens when qualitative research is neglected or ignored, what happens when you incorporate it into the product design process, and how to implement qualitative research practices in your organization.