Description: The world of climate risk disclosures has seen dizzying levels of change in the last few years. In 2023, many regulators have publicly issued guidance on what insurance companies and other FIs should look to disclose. So what are we seeing in these disclosures and how do we use this information? Join our panel of experts to learn about the evolution of U.S. life insurance industry's climate disclosures and how insurers of all sizes and complexities are responding to NAIC's requirements.

Description: The article introduces a cashflow matching strategic asset allocation (SAA) framework for life insurers. Given the recent shift to higher interest rates after two decades of persistent low interest rates, insurers have an opportunity to enhance their asset liability management by rebalancing asset portfolios to narrow duration gaps and attain higher risk-adjusted yields. The framework aims to align investment objectives with economic, regulatory, and rating agency requirements. It prioritizes cashflow matching as the primary optimization goal and incorporates security-level asset information to assist portfolio managers in executing SAA seamlessly. The article highlights the benefits of the cashflow matching SAA framework, including greater attention to cashflow matching, unbiased results, readily executable strategies, and stable economic reserves. A case study is included to demonstrate the effectiveness of the framework in improving risk-adjusted return and cashflow matching for a representative liability block.

Description: Learn from panelists from different companies as they come together to discuss their experiences.

Description: Equity-Based Insurance Guarantee Webcast Series

Description: Come discuss modeling costs and its governance, as well as introduce some platforms for more granular asset modeling.

Description: Internal modernization initiatives and external changes of the financial reporting regulations (e.g., LDTI, IFRS 17) increase the amount of validation activities for actuarial models. In addition, the use of predictive analytics in actuarial modeling requires a different set of validation skillsets/techniques in model validation. These internal and external forces call for a structured, streamlined and robust model validation practice.