Description: 本项目研究了气候变化风险对退休投资的财务影响，重点探讨了养老基金（Pension Funds）应如何管理此类风险。研究涉及的气候变化风险主要包括两大类别： • 物理风险（Physical risk）：指由极端气候事件和全球变暖对资产及养老金负债的直接影响。 • 转型风险（Transition risk）：指在向低碳经济转型过程中产生的财务风险，包括因遵守新规定而带来的诉讼风险。

Description: El Niño is more than a weather event. It can affect people’s health across the United States. A study by the Society of Actuaries Research Institute found that El Niño can slow progress in how long people live. The effects can last for years, even after El Niño ends. Older adults are hit the hardest.

Description: Financial Mathematics Exam—June 2026 Syllabus

Description: The article explores a closed-form forecasting method that combines Exponentially Weighted Moving Average (EWMA), weighted linear regression, and ridge regression (L2 regularization). The approach addresses two key challenges in time-series forecasting: adapting to nonstationarity and mitigating overfitting due to multicollinearity. EWMA assigns more weight to recent observations, while ridge regression penalizes large coefficients to stabilize estimates. A cross-validation strategy across rolling time windows selects optimal hyperparameters: the EWMA decay factor (α) and the ridge penalty (λ). The method is tested using repeated regressions of stock returns, showing that most hyperparameter combinations outperform ordinary least squares (OLS) under the (λ=1, α=0) setting.

Description: This expert-opinion piece advises Canadian life insurers on how IFRS 17 changes asset-liability management for the Contractual Service Margin (CSM).

Description: Article about why the actuarial profession is a promising career in India.

Description: Article about emerging risks in India for India SOA newsletter

Description: Most people will now have had some exposure to Large Language Model tools such as ChatGPT and will have been impressed by their ability to write essays or generate computer code. However, fewer people will be aware of the next phase of AI, which will turn AI chat assistants into more fully fledged AI colleagues. These emerging set of tools come under the broad term of “AI agents”, which are AI-based systems which have capabilities beyond a simple chat interface and are able to interact with external tools, access data, and most importantly have the capability to plan and perform arbitrarily complex tasks. In this talk we will explore the emerging field of AI agents and discuss our experiences using such frameworks to build end-to-end actuarial modelling solutions and demo some POCs we have been working on for the audience. We will also cover topics related to building such complex AI systems including: prompt-engineering fine-tuning retrieval augmented generation function calling specific AI agent frameworks and how they will allow AI to participate in all the different stages of the actuarial modelling process from coding and testing to documentation and analysis.

Description: "In this session, we will explore the latest trends in asset allocation, focusing on how these trends are shaping the investment landscape in 2025. With insights from industry experts and real-world examples, attendees will gain a comprehensive understanding of the factors driving asset allocation decisions and the implications for portfolio management. We will delve into the impact of economic policies, market volatility and emerging asset classes on asset allocation strategies. This session is designed for actuaries, investment professionals and anyone interested in staying ahead of the curve in the ever-evolving world of asset allocation. Learning outcomes: Understand the key trends in asset allocation for 2025, including the influence of economic policies and market dynamics. Identify emerging asset classes and their potential impact on portfolio diversification and risk management. Gain insights into the strategies used by leading investment professionals to navigate market volatility and optimize asset allocation. Learn how to apply these trends and strategies to enhance your own investment decision-making process."