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: This video from Ben Keslowitz explains the concept of reinsurance, which is a financial arrangement where insurance companies transfer portions of their risk portfolios to other parties, known as reinsurers. This helps insurers manage large or catastrophic claims and optimize their risk components. The video also covers different types of reinsurance, such as proportional liability reinsurance, non-proportional reinsurance, and quota share coinsurance, each serving different purposes in risk management. Additionally, it discusses the reasons insurers might choose to reinsure their business, including liability risk mitigation, investment risk transfer, and entering new markets.

Description: Gain a high-level understanding on how long-duration targeted improvement (LDTI) impacts insurance products and earnings. Explore highlights on secondary impacts to companies due to additional complexity of LDTI, such as a need for a source of earnings analysis. Then dive into the details and hear an explanation on how earnings emergence differs for each type of life and annuity product impacted by LDTI. Finally, discuss the impact -to-earnings volatility under LDTI for each product type. Close the session by connecting how the investor story changes with all the impacts discussed during the session.You should walk away with a good understanding of LDTI earnings emergence, which is a topic that has very limited thought leadership available today.

Description: Discover a modernization journey within finance, actuarial investment and risk domains. Expect to learn about the world we are striving for - an event-based, self-service, automated environment that centers around a cloud-based data lake with proper data quality and governance and provides visual, on-demand solutions for reporting and analysis. We will educate the audience on the technology used to obtain this vision and the approach (including our team structures and project management ideologies) we have taken thus far to start moving there.

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: Insurance carriers today must balance a multitude of factors to remain relevant and innovate- -process improvements and efficiency (automated or traditional); -customer experience (less intrusive, more data); -distribution (aging traditional, product focus, emerging opportunities); and -mortality. While these factors are not new, true innovation in these areas require a convergence of engagement among actuaries, underwriters and data scientists to determine the specific pain points and appreciate both the benefits and consequences of various paths. Explore examples of how best to approach these topics, engage different disciplines, avoid pitfalls and ensure a holistic view. Real life examples and lessons learned will be shared during this session.

Description: "Living to 100 in the time of COVID-19: A Study of Late –Life Mortality Trajectories, Leonid A. Gavrilov, Ph.D., Natalia S. Gavrilova, Ph.D., Academic Research Centers, NORC at the University of Chicago Swedish Mortality Does Not Decelerate in Recent Cohorts, or Does it? – Roland Rau, Ph. D., Professor, University of Rostock & Max Planck Institute for Demographic Research, Rostock, Germany; Marcus Ebeling, Ph.D., Karin Modig, Ph.D., Associate Professor, Anders Ahlbom, Ph.D., Professor Emeritus, Karolinska Institute, Stockholm Sweden; Kai Kaufhold, Aktuar DAV, Ad Res Advanced Reinsurance Services GmbH, Cologne, Germany; Annika Ziegler, Lukas Stake, Hochschule Koblenz & Ad Res, Germany"

Description: The Society of Actuaries will be offering this webinar series intended to educate and investigate aspects of life insurance, annuity, and long-term care product tax compliance. Developed by the Taxation Section, participants will be brought up to date on recent Internal Revenue Service (IRS) guidance and learn about the newest tax issues related to product design and administration. Legal, IRS and product development experts will provide vital insights into the challenges of developing and administering products within the requirements of the Internal Revenue Code (IRC) and allow ample opportunities for questions and information exchange. This session will provide an intense introduction to the basics of product taxation, with a focus on life insurance and the requirements of Section 7702A.

Description: Defining fairness for life insurance processes is complex and challenging as well as subjective. This webcast will be a discussion of the challenges and opportunities presented as our profession rethinks fairness in the context of processes involved in developing and managing life insurance, especially risk classification.