Description: Gather with members and non-members in the China actuarial community to discuss recent topics and related issues in areas such as macroeconomic sharing, pension, investment, product strategy, and more.

Description: The Regulation and Taxation (Hong Kong version) e-Course gives you an overview of the regulatory environment of life and annuity insurance in Hong Kong, U.S. and Canada, with a special emphasis on how it impacts actuaries. You'll learn which government agencies regulate insurance and annuity products and why.

Description: In this webcast, presenters highlight efforts to understand U.S. cause-of-death mortality trends. Discover insights on modeling and forecasting premature cardiovascular mortality, cancer mortality, treatments, technology trends, and COVID-19 excess mortality. Plus, get a sneak peek at 2025 research topics.

Description: Heatmaps are an effective tool for visualizing changes in cancer incidences over time in large datasets. They can show the impact of screening measures, particularly when targeting specific age groups, and reveal characteristics of individual cohorts.

Description: This article provides a high-level description of how the One Big Beautiful Bill passed enacted on July 4, 2025 specifically affects life insurers. Primarily in this article, ACLI reflects on its 18-year collaboration with the Society of Actuaries through the Taxing Times publication, highlighting key tax legislation impacts and ongoing advocacy for the life insurance industry. This final column acknowledges past achievements and emphasizes continued commitment to industry representation amid evolving challenges.

Description: This article is part of a 2 part series on real options analysis (ROA). Before you can understand the limitations of ROA, you must first understand the difference between risk and uncertainty. This article goes into detail explaining the vast differences between the two phenomena.

Description: An introductory article describing how Bayesian statistics has evolved over the past 20 years and why it offers the actuarial discipline powerful tools to better understand and manage risk. Compared with traditional (frequentist) and black-box (machine learning) approaches, Bayesian analysis provides explainable models focused on distributions of estimates instad of simply point estimates.

Description: Regression to the mean is a phenomenon that arises when comparing sequential data points. It states that when an initial observation is extreme or an outlier, future observations will be closer to the average. Health care actuaries need to understand and be able to mitigate the effects of regression to the mean to avoid misapplying predictive models or misstating measurements of historical effects.

Description: With more than 24 years of experience in the reinsurance market, Bruno Freire is the CEO and one of the co-founders of Austral Re, along with Vinci Partners, a private equity firm. Austral Re is a Brazilian- based multiline reinsurer which that writes business across Latin America. It has grown organically throughout the last 13 years, and had its credit rating upgraded to A- in 2023 by AM Best (it also has AAAbr from S&P). Before joining Austral, Bruno had been a reinsurance broker at Aon Re for more than 10 years, having witnessed the opening of the reinsurance market in Brazil. As we will be seen in his interview the following, he believes in a data driven analytic approach, client focused but with an underwriting mindset, as well as a strong support from actuaries and technology as key instruments to run a reinsurance company successfully.

Description: Artificial intelligence (AI) at the heart of new digital tools allows actuaries to extract structured data useful for creating more precise risk assessment models. This technology sits best alongside the expertise of insurance professionals who have years of experience in the industry. RGA’s partnership with DigitalOwl is an example of how AI combines with human knowledge for the best outcomes.