Description: Even in published scientific research, we find fraudulent data. What is an actuary to do? Let's consider our actuarial principles and standards of practice to question our data quality and truthfulness. In specific, the article addresses ASOP 56 on Modeling and considerations of model risk as well as ASOP 23 on Data Quality. Recent examples are given from a Harvard research fraud controversy as well as questionable sumo statistics.

Description: Reunite with members and non-members in the China actuarial community to discuss recent topics and related issues in areas such as macroeconomic sharing, IFRS 17, product strategy, cross-border communication and discussion, and more. Advance your career through learning and networking opportunities, and share your experiences in the finance and insurance industries, as well as other fields related to actuarial science.

Description: This paper provides actuaries with background and scientific knowledge to understand global climate change and climate model projections for the 21st century.

Description: The video features Chris Onken, a principal and consulting actuary at Milliman. It focuses on identifying equity volatility risk and fundamental strategies to manage it. The discussion covers various types of volatility, including realized, implied, constant, and stochastic volatility, and their applications in projecting asset price volatility. Additionally, the video explores static and dynamic hedging techniques for managing volatility risk. This video provides valuable insights for professionals in the insurance industry.

Description: Attend this webcast to learn more on how to navigate managing ESG principles in the new normal of a post-COVID world. Enhance your ESG insights in a post-pandemic landscape.

Description: This session will focus on what is new and coming at the Appointed Actuary (e.g., Actuarial Guideline ((AG)) 53, equity testing, etc.). We will provide highlights from the updated AAT Practice Note. A particular focus will be paid to asset classes that have received regulatory attention recently ((e.g., commercial mortgage loans, collatoralized loan oblications (CLOs), etc.)).

Description: Model Risk Management at insurers has been an established practice for well over ten years now. Until recently, a primary focus of model governance was on actuarial models. The Gen AI evolution we’ve experienced in the last two years, has shone a spotlight on “all things AI”. Along with the increased capabilities AI brings, there is increased concern for the proper use of these models, protection of IP, safeguarding of PII, and overall security. This session will bring together a diverse panel to discuss how we can adapt our established practices for these new models to minimize the risks that come with Gen AI and help our organizations optimize the benefits of AI.

Description: This document discusses the comparison of lifetables generated using classic demographic techniques and the Human Mortality Database method protocol for socioeconomic deciles from 1982 to 2022. It explains differences in estimation methods, calculation steps for lifetables, advantages and disadvantages of each approach, and a comparison of lifetable values.

Description: This document is a Request for Proposals (RFP) issued by the SOA Research Institute focusing on advancing catastrophe modeling and sustainability in Asia, particularly in ASEAN markets. It outlines research objectives, proposal requirements, selection process, submission details, and other pertinent information for interested researchers.