Description: This session will focus on what is new and coming at the Appointed Actuary (e.g., Actuarial Guideline ((AG)) 53, equity testing, etc.). We will provide highlights from the updated AAT Practice Note. A particular focus will be paid to asset classes that have received regulatory attention recently (e.g., commercial mortgage loans, collateralized loan obligations ((CLOs)), etc.).

Description: Our panel will discuss techniques for efficiently modeling assets and liabilities while minimizing the computational expense of full-blown nested Monte Carlo simulation. These techniques include: • Neural networks • Data clustering and selection of representative contracts • Scenario reduction • Proxy functions for estimating the value of complex assets and exotic derivatives embedded in liabilities. Attendees will learn about the theory behind these techniques and implementation practicalities, and we will present case studies illustrating their benefits.

Description: As tariff policies are rapidly changing throughout 2025, the U.S. markets have been reacting in complex ways. In addressing the difference in short and long-term impacts of these policy changes, the importance of resilient and holistic risk management is highlighted in order for companies and investors to find opportunities and mitigate sudden losses.

Description: Following recent market volatility and regulatory changes, market data and market-consistent economic scenarios are at the core of the valuation of liabilities and market risk benefits under regimes such as IFRS 17 and Long Duration Targeted Improvements. This webcast will explore options available to insurance companies to establish stable long-term volatility assumptions and discuss how the choice of financial data can impact the calibration and the simulation of credit spread scenarios.

Description: "New regulatory requirements demonstrate an increased focus on understanding the liquidity and behavioral risks of structured assets and the close association and interaction with liability lapse risk. In the US, Actuarial Guideline LIII (“AG53”) requires additional analysis & disclosure around the risks of structured, less liquid assets used to back insurance liabilities. In Bermuda, the implementation of Consultation Paper #2 includes several targeted requirements to capture lapse risk, asset behavioral risk, and liquidity risk in a more robust and dynamic way. These emerging requirements necessitate enhanced ALM modeling capabilities and a more holistic view of liquidity risk that incorporates both sides of the balance sheet. In this session, we will discuss these requirements, what companies are doing to fulfill them, and how their efforts feed into a broader improvement of the ALM function."

Description: CMS has required hospitals to publish their chargemaster rates, cash discounts and negotiated rates as of January 1, 2021. Our panel is comprised of a data strategist, an executive from a large hospital system and an actuary.

Description: This article series highlights the growing impact of climate change on health, property, and financial institutions, emphasizing the need for actuaries and risk analysts to evaluate and adapt their practices to manage evolving climate-related risks.

Description: The last 20 years of global interest rate experience has low interest rates for long periods of time ('low for long'), negative interest rates, strange yield curve shapes, and now the most rapid increase in interest rates in our history. What is it we should be focused on as risk managers? Low for long, high rates due to prolonged inflation, or some blend of the two? The session will discuss our interest rate experience and the factors that appear to be dominant for the next decade. The session will address how one establishes a set of stylized facts to guide the development of a suitable interest rate model and how calibration targets can be determined. Discussion will then move to the suitability of existing interest rate models for capturing the real-world risks that actuaries and other finance professionals are concerned with. Are there interest rate models that are fit for purpose given the past 20 years of experience? A selection of candidate models will be discussed and illustrated.

Description: This document is a call for essays issued by the Society of Actuaries Research Institute. It seeks submissions that explore the impact of Artificial Intelligence/Large Language Models on retirement professionals and retirees. The document provides background information, research objectives, and a list of illustrative topics and questions that the essays can address. The submission guidelines, timeline, and evaluation criteria are also outlined.

Description: Advanced Topics in Corporate Finance and Enterprise Risk Management (ERM) covers a broad range of corporate finance concepts. As part of a 10-year strategic plan exercise, you'll apply opportunity engineering to help guide senior management in introducing a new product to market. You'll also focus on three applications of Extreme Value Theory (EVT), which are covered and tested in a business context.