Description: The document is the "Pub-2016 Public Retirement Plans Mortality Tables Report" published in May 2025 by the Retirement Plans Experience Committee (RPEC) of the Society of Actuaries and LIMRA. It contains information on mortality tables development, data collection, annuity comparisons, and application of tables for public pension plans.

Description: This report introduces actuaries and risk managers in the insurance and pension industries to current literature discussing growth rates in the past and future expectations.

Description: Gain an overview of the requirements for the new asset adequacy Actuarial Guideline 53 (AG53) guideline for complex assets. You will discover helpful insights and considerations for multi-scenario testing and sensitivity testing as well as approaches to developing attribution analyses for complex assets. You will also receive insights from any published regulatory materials that help describe what worked well and what needs improvement based on the initial AG 53 submissions from year-end 2022.

Description: Call for essays on how actuaries can apply their financial skills to support non-profit financial management and promote societal purpose.

Description: Artificial intelligence is rapidly transforming the investment landscape. From natural language processing and large language models to physical AI applications like robotics, autonomous vehicles, and drones, the evolution of AI is reshaping both how we analyze data and where we find opportunity. We’ll begin by exploring the evolution of AI, which is already driving disruption across industries such as coding, customer service, and marketing. However, the future of AI is physical AI (drones, AVs, robotics). With valuations already stretched, and growing concerns about the “circular economy” and bubble risks, investors should focus on high-quality tech companies that generate free cash flow and deliver strong returns on invested capital. We'll explore examples of interesting companies across the globe: Meta, Alphabet, and Uber in the US; ASML in Europe; Tokyo Electron in Japan; TSMC in Taiwan; and BYD in China. The session will also examine how natural language processing and large language models are reshaping the way quantitative and fundamental managers extract insights from raw data. We’ll highlight how these tools are being deployed to enhance understanding of risk and return, and how they’re increasingly supporting collaboration between quant and fundamental teams.

Description: In this session, presenters will share the impacts of transition to IFRS 17 on equity and various KPIs across insurance companies (Life & P&C), as well as share some observations of what the IFRS 17 landscape looks like across different global regions. The session will conclude with lessons learned and expectations for emerging practices under IFRS 17 globally.

Description: Our panelists will explore fixed income topics from an actuarial perspective. We'll start with the basics of bonds, including sensitivity measures like duration and higher moments. Then, we'll discuss bond ALM characteristics, highlighting the advantages and disadvantages of incorporating various bonds into a portfolio. Finally, we'll cover actuarial modeling considerations, such as reinvestments, defaults, expenses, and other assumptions. We encourage the audience to ask questions throughout the presentation and we hope you can join us for an engaging discussion!

Description: Discover investing trends across the life and health industry as insurers seek to navigate rapidly changing rate and market environments. BlackRock will present results from its Peer Risk Study, which models industry holdings based on statutory filings at the CUSIP level. Through the Aladdin risk modeling software, expect a production of deep insights into insurer portfolio risk and return characteristics, as well as exploring how they have evolved. Keep an eye out for a partner to present on the evolution from their perspective. Start learning about what is happening on the asset side of the balance sheet across the industry.

Description: This session will discuss basic and advanced hedge modeling concepts. It will explain common hedge strategies used to support guarantees and options embedded within life and annuity products and the materiality of these products within the US. Attendees will learn how Machine Learning acts to reduce the computer processing needed to simulate the dynamic hedging of product liabilities projected in the future across many stochastic scenarios. Actuaries working in consulting, software development, and a large life insurance company will provide a wide range of hedging viewpoints ranging from a broad industry perspective to a hedging practitioner. Attendees will obtain a comprehensive understanding of a novel ML approach to modeling dynamic hedges and the hedge optimization opportunity it presents.

Description: Join a discussion on the evolution of asset and liability projection processes in the life insurance industry. Familiarize yourself with the broad set of inputs, stakeholders, and financial planning and analysis use cases. Notable areas of focus will include, but are not limited to, historical background, modeling needs, interactions between stakeholders, industry pain points, and a composite of an ideal future state informed by perspectives gleaned from leading companies within the industry.