Description: The session will highlight trends in recent industry mortality and lapse studies that have been conducted, including areas where individual companies typically have limited data. The sources of data feature SOA studies as well as other industry studies conducted by consultants and/or reinsurers. Gain an understanding of current drivers of mortality and lapse experience for life insurance evidenced in industry studies, and an understanding of available data to supplement experience in areas where you may have limited internal experience.

Description: Behavioral economics research has shown that small details can have a large impact on how a person behaves. As life insurance continues its evolution into the digital domain, life insurers now have an almost infinite number of ways to tweak their product offering, positioning, and delivery to the end consumer. Behavioral science is becoming increasingly more important to optimize these product design decisions and improve outcomes for both insurers and their customers. Discover a brief overview of key behavioral economic concepts and dive into two SOA research projects that are exploring how behavioral economic techniques can be used in different parts of the life insurance value chain. First, you'll start before a policy is even sold, by exploring how behavioral economics, through techniques such as the messenger effect, can be used to increase consumers' comprehension of policies and life insurance's value. Second, you'll look at how underwriting question design can impact applicant behavior and lead to higher quality application data. At the conclusion, you'll enjoy having a better understanding of how behavioral economic techniques can be applied in a life insurance context.

Description: This article is historical in nature and explores the impacts of traditional life insurance products offering cash surrender values. This article intended to show that by offering cash surrender value, insurance companies became less exposed to the risk of mis-estimated lapse assumptions. This article presents an illustrative case study to highlight this dynamic. This article also explores the issues with traditional life insurance products that arose in the 1970s and 1980 and led to the introduction of Universal Life in the U.S.

Description: Insurers have long relied on scenario analysis to understand the long-term impacts of potential business decisions, but the advent of rapidly changing market environments and a growing desire to optimize capital has spurred business leaders to leverage new tools in order to explore potential options. Companies are beginning to explore new analytical solutions that trade-off accuracy for speed for a more robust approach to impact quantification. In particular, they are looking at the use of additional what-if scenario models, built from the top down, to support decision-making processes. Actuaries can help take charge in the development of these top-down analyses by leveraging data and actuarial techniques to supplement their existing models. In this way, business leaders can simultaneously rely on the actuarial rigor of typical standalone cash flow projection models, while also receiving support for real-time business decision-making. The potential of what-if scenario modeling can help actuaries unlock a powerful new approach to scenario analysis to enable more rapid decision-making. Learning objectives: In this session we will discuss the fundamental concepts of what-if scenario modeling in an actuarial context, including: - Core principles and components of what-if scenario modeling - Common challenges and considerations around the implementation of what-if scenario modeling - Potential solutions to challenges and their implications

Description: According to Oliver Wyman's 2023 Asset-Liability Management (ALM) survey, long-term care (LTC), universal life, and whole life insurance products have among the longest liability duration profiles, often with material asset-liability duration mismatches. Deploying an optimal strategic asset allocation (SAA) framework for these products is particularly challenging due to their: - Long-tail profile. Liability cashflows for long-duration insurance products often extend beyond the investment horizon of currently available assets (e.g., 30-year U.S. Treasuries) - Liquidity needs. Depending on the type and age of the insurance product, achieving your desired levels of projected liquidity becomes instrumental Solution: A robust liability-driven SAA framework with an emphasis on minimizing cashflow mismatch while considering a company's risk appetite and investment guidelines aims to reduce interest rate and liquidity risks. Case studies: LTC and life-focused case studies will provide insights into hypothetical SAA frameworks, including ways companies optimize their fixed-income assets. We will also explore techniques used to extend asset duration beyond a typical fixed-income portfolio, using derivatives and alternative assets.

Description: The Candidate Connect at the 2024 ValAct Meeting provides information, inspiration and networking opportunities to actuarial candidates pursuing their ASA.

Description: The Internal Revenue Service issued its seminal ruling interpreting Internal Revenal Code section 7702A[c][3][B][i], commonly referred to as the Necessary Premium Test [NPT]. The purpose of the NPT is to shelter certain death benefit increases from material change status, avoiding the 7 pay test's reapplication on their account.

Description: Article examines a proposed amendment to the MAP-21 Act that would have changed a number of tax requirements regarding so-called life settlements.

Description: Read the September 2019 issue of NewsDirect published by the Marketing and Distribution Section. Newsletters provide practical information for the working actuary, articles on trends that impact sections and news about section activities.

Description: This paper, originally published in 1969 in Transactions of Society of Actuaries Vol. 21, presents an analysis of the basic actuarial theory for life insurance policies with fixed premiums and variable benefits reflecting the investment performance of a separate account, where in its basic form, the policyholder bears the entire investment risk. The paper discusses various regulatory and other changes that would be needed or desirable, as well as variation in design such as minimum guarantees. Significant discussion is included, with over twenty individuals contributing in addition to the authors. The introduction to the Monograph notes that while not the first paper on this topic, it “clearly established the framework for subsequent developments of variable products.”