Description: This Chairperson's Corner article discusses the SOA becoming the pre-eminent risk management profession. The Chairman's message is that actuaries have the inside track on risk management positions in the insurance industry and have a basis for competing for similar positions in the broader financial services industry.

Description: The thrust of this article is that while ERM starts out as a compliance and corporate governance tool, well managed companies use ERM as a strategic tool that will help them increase shareholder value. To do so requires a synthesis of the actuarial techniques of insurance and the capital markets perspectives of corporate finance.

Description: This article describes an initiative of the Chief Risk Officer Forum to perform a study to benchmark internal models, so as to discuss the admissibility of these models for regulatory purposes in the context of Solvency II. The results of and reactions to that study are discussed.

Description: Read the September 2020 issue of Risk Management published by the Joint Risk Management section. Newsletters provide practical information for the working actuary, articles on trends that impact sections and news about section activities.

Description: Feature article describing a framework for the computation of credit capital requirements under the constant position paradigm, taking into account recovery rates.

Description: Read the June 2020 issue of Risks & Rewards published by the Investment Section. Newsletters provide practical information for the working actuary, articles on trends that impact sections and news about section activities.

Description: A feature article discussing the financial opportunities of investing in gold.

Description: The Society of Actuaries Research Institute’s Catastrophe and Climate Strategic Research Program is pleased to release two essays addressing sustainability and sustainable development goals.

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.