Description: This article will evaluate two different novel techniques for approximating change in value of a portfolio due to the change in the interest rates that do not rely on the industrywide ALM metrics. These approaches use deterministic runs created to understand the range where ALM metrics could be relied on and one of these techniques could be more superior to the use of key rates for managing one’s portfolio when they are used in approximating value change for a change in interest rate.

Description: An update on the activities of the JRMS Council.

Description: An update on the activities of the JRMS

Description: The article will explore the market dynamics driving asset-intensive reinsurance in Japan, analyze how Japanese insurers are strategically utilizing both block and flow reinsurance to achieve diverse business goals, and discuss key considerations for offshore reinsurers seeking to enter this market.

Description: This session on Innovations in Underwriting will explore the latest advancements in underwriting technology and methodologies. It will focus on how these innovations are transforming the insurance industry, making underwriting processes more efficient, accurate, and customer-friendly. Topics will include the integration of artificial intelligence (AI), machine learning, and big data analytics into underwriting workflows. Additionally, we'll discuss emerging trends in risk assessment, automation of underwriting tasks, and the implications of these changes for underwriters and insurance professionals. Attendees will have the opportunity to learn from industry experts and participate in discussions on how these innovations are reshaping traditional underwriting practices. Learning Outcomes: - Gain an understanding of the latest technological advancements impacting underwriting, including AI, machine learning, and data analytics. - Learn how these innovations can streamline underwriting and pricing processes, improve accuracy, and reduce costs. - Explore new risk assessment methods and discover how automation is changing the underwriter's role. - Identify best practices for integrating innovative technologies into existing underwriting and actuarial pricing frameworks.

Description: The NAIC continues to move ahead with the GOES (generator of economic scenarios) project for the transition to a new real-world economic scenario generator (ESG) prescribed for principle-based reserve and capital calculations. This session will provide a detailed project update from the regulator and practitioner perspective. An overview of model details and methods that have been decided, what remains to be determined, and the projected timeline for implementation will be discussed. Recent developments such as the industry field test and NAIC model office testing to assess the potential impact on reserves and capital will be discussed as will a review of the implementation of the stochastic exclusion ratio test (SERT). We will also discuss the components of the ESG model and the associated scenario sets the NAIC has exposed with respect to target and acceptance criteria. At the conclusion of this session, attendees will understand the current status of the NAIC GOES project and its projected timeline and will be able to describe the components of the model and how the model has been calibrated and validated. Attendees will also appreciate the remaining challenges in bringing the model to full implementation.

Description: This report captures expert insights from a March 2025 roundtable on how generative AI is shaping actuarial work and insurance industry practices.

Description: With the growing threat of cyber incidents, organizations and governments are rightfully concerned. In recent years, cyber incidents have caused significant losses to entities and insurers across the world. Therefore, there is a need to understand and provide greater context around the topic of catastrophic cyber risk, which has implications for insurance companies, reinsurers, regulators, consumers, and society. Taking a multi-disciplinary, holistic approach, an expert panel study was conducted on catastrophic cyber risk in this four-part series of discussions and subsequent reports.

Description: There is value in a framework that allows a smooth transition from a qualitative assessment to a quantitative analysis as entities mature in their understanding of climate risk. In this report, a case study on climate change impact on home prices is used to illustrate a Bayesian network iterative approach to building a model for scenario analysis.

Description: In light of recent regulatory developments and international best practices, the Bermuda Monetary Authority has introduced proposed enhancements to the Bermuda regulatory framework for long-term commercial insurers. During this panel discussion, discuss the potential impacts of these proposed regulatory changes for existing commercial insurers and new entrants to the Bermuda life reinsurance market.