Description: June 2024, AG54 will begin for new RILA sales. This guidance requires companies to determine an interim value that is more aligned with the market value of the position on a daily basis. This discussion will talk through companies adoption of AG54, lessons learned, approaches and integration with the administration system. Additionally this session will discuss how AG54 impacts new product design, reserving and capital implications.

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: In this presentation, we will delve into the latest investment trends transforming the life insurance industry. We will start with a comprehensive overview of the key asset classes and strategic allocation approaches commonly adopted by insurers. Our session will then examine emerging market dynamics, with a particular focus on opportunities in private credit and securitized assets. We will also highlight the practical implementation of Buy and Maintain strategies, including a detailed cashflow-matching case study, to demonstrate how these approaches can enhance yield potential, minimize trading costs, and optimize capital efficiency in light of evolving regulatory requirements. Through this case study, audience will gain insight into portfolio construction and the critical considerations driving investment decisions within the industry.

Description: The NAIC Generator of Economic Scenarios (GOES) Project is scheduled to go live in January 2026. Over the past five years the GOES economic scenario generator has evolved significantly. Important modifications such as the flooring of interest rates and the process for initializing the time 0 interest rate yield curve has been part of this evolution. The introduction of a suitable Stochastic Exclusion Ratio Test (SERT) and associated deterministic reserve (DR) has also evolved and remains a work in progress. At this point in the GOES project, several field tests and model office results are available that provide some insight into the differences between the current AIRG model and the GOES model that is about to be introduced.

Description: The speakers will work through hands-on Excel examples of bootstrapping interest rate curves—including forward, spot, and par rates. The presenters will also cover models such as Hull-White and the Forward Market Model with an emphasis on derivative valuation and exposure calculations.

Description: This report studies the various benchmarks for analyzing the option-adjusted spreads of the major fixed income asset classes of life insurance companies. In addition, this report analyzes the historical benchmark performance against default rates for the asset class being benchmarked.

Description: The 1986-98 Credit Risk Loss Experience Study represents a continuation of the 1986-94 study analyzing credit loss experience by institutional investors on private placement bonds. The study measures incidence rates, loss severities and economic loss rates associated with credit risk events for privately placed debt during the years 1986-98.

Description: This is a Confidentiality Agreement to be signed prior to contributing data to the Society of Actuaries' study that investigated the motivating factors contributing to the exercise of stock options.

Description: Why Write Variable Products When You Can Put the Money Directly into the Stock Market?

Description: Shareholders provide capital and receive the insurance profit. This paper demonstrates than an optimal capital level exists that generates the highest return for the shareholders of an insurance company. This result is derived using a risk capital model by Perold. The no-arbitrage argument, developed by Modigliani and Miller, is used throughout the paper and puts the discussion on a solid economic footing. From 2006 Enterprise Risk Management Symposium, M-AS06-1.