Description: This publication presents an exploratory framework that applies volatility signals—specifically the VIX and MOVE indices—to asset allocation decisions. Rather than prescribing a definitive model, the work highlights a potential pathway for linking equity and bond market risk expectations to portfolio construction. The analysis demonstrates how relative volatility between asset classes can inform dynamic weighting, opening the door to more adaptive strategies in shifting market environments. Importantly, this is not intended as a finished methodology, but as a foundation on which more experienced professionals can build. Readers with advanced backgrounds in finance, risk management, or quantitative analysis are encouraged to refine, stress-test, and extend the framework to suit their own investment contexts. By positioning the concept as a starting point rather than a conclusion, the publication invites collaboration and deeper exploration into how volatility-based metrics may enhance long-term allocation models.

Description: Chairperson’s letter discussing activities of the Technology Section.

Description: Even if you are analytic and process oriented, you have the ability to be great at selling.

Description: The author shares the importance of creating a personal development plan.

Description: Interview with industry leaders about leadership and business topics.

Description: Learn industry best practices including challenges faced by retirees, such as needing exposure to growth, most exposed to sequencing risk, and the need for smooth returns to avoid poor investor behavior caused by risk aversion. Other topics will include how to set investment objectives which consider the members’ real-world needs and how to build portfolios and implement risk management strategies to meet those objectives. The speaker will provide real-life examples/case studies.

Description: The article provides a general description of the DISC assessment, and how it can be used in your professional and personal life.

Description: Actuarial work in the life and health insurance industry is highly data-driven and complex. Actuaries perform a wide range of tasks such as experience studies, valuation, reserving, pricing, and risk modeling, all of which require vast amounts of data and sophisticated analytics. Traditionally, many of these tasks have been carried out using Excel and other legacy tools, but as data volumes grow and the need for more accurate predictions intensifies, actuaries are turning to more robust platforms. Cloud Data & Artificial Intelligence (AI) Platforms, such as t Databricks offer a unified platform that integrates data management, analytics, and machine learning, making it a powerful tool for actuaries. In this article, we’ll explore how Cloud Data & AI platforms can be used as an actuarial workbench, enabling actuaries in the life and health sector to streamline critical tasks like experience studies, valuation, and reserving.

Description: Article presents the basic terminology and theory of attribution theory, the theory explaining the causes that people attribute their successes and failures to. The article reviews i) typical attributions(e.g. effort, luck), ii) dimensions of attribution (controllability, stability), iii) useful and non-useful attributions, and iv) attribution retraining and v) other aspects of the theory (such as accompanying emotions)

Description: This webcast focuses on a systematic approach to developing others, no matter where they are in their career. Not focused on advice or instruction giving, but facilitating a conversation for the individual to identify their own goals and the best way to go achieve them. The foundational belief is that the answers all lie within the individual.