Description: Explore various aspects of the Asian reinsurance market in this webcast. Learn about the landscape within the market as speakers cover key topics like product perspectives, structured solutions and emerging trends and issues. Take an in-depth look at the post COVID-19 impact, as well as regulatory considerations that could affect the Asian reinsurance industry. Secure your spot in this opportunity and dive into the direction of this marketspace.

Description: The external actuary must balance the goals of the company with a realistic assessment of the chances of achieving them, uncovering hidden value while scaling back on aggressive targets to achieve a balanced, defensible end product with buy-in from the seller's team. From Actuarial Considerations in Insurance Mergers and Acquisitions, M-FI03-1.

Description: Speakers representing investment and risk management teams share how they are integrating climate risks into their investment management practices. We will discuss methods to measure and assess climate risks in the investment portfolio, for both transition risks and physical risks. Speakers will also touch on how climate risks can be integrated into the bottom-up investment process. Lastly, we discuss climate-action-oriented programs to decarbonize investment portfolios and their challenges. At the end of this session, participants will be able to: - Understand methods and challenges to measuring exposure to climate risks in their portfolio - Understand methods and challenges in integrating climate risks into the investment process - Understand methods and challenges in implementing decarbonization programs such as Net Zero.

Description: One-page overview of monograph contents. From Actuarial Considerations in Insurance Mergers and Acquisitions, M-FI03-1.

Description: Role of the Actuary: One of the most complicated tasks an actuary can perform is large-scale corporate modeling in an attempt to shed light on the relationship between value, performance and risk. In specialized situations such as mergers and acquisitions, it may be appropriate to have external actuaries perform the work rather than attempt the task with internal resources. From Actuarial Considerations in Insurance Mergers and Acquisitions, M-FI03-1.

Description: Bibliography. From Actuarial Considerations in Insurance Mergers and Acquisitions, M-FI03-01.

Description: In this session, presenters will share the impacts of transition to IFRS 17 on equity and various KPIs across insurance companies (Life & P&C), as well as share some observations of what the IFRS 17 landscape looks like across different global regions. The session will conclude with lessons learned and expectations for emerging practices under IFRS 17 globally.

Description: Artificial intelligence is rapidly transforming the investment landscape. From natural language processing and large language models to physical AI applications like robotics, autonomous vehicles, and drones, the evolution of AI is reshaping both how we analyze data and where we find opportunity. We’ll begin by exploring the evolution of AI, which is already driving disruption across industries such as coding, customer service, and marketing. However, the future of AI is physical AI (drones, AVs, robotics). With valuations already stretched, and growing concerns about the “circular economy” and bubble risks, investors should focus on high-quality tech companies that generate free cash flow and deliver strong returns on invested capital. We'll explore examples of interesting companies across the globe: Meta, Alphabet, and Uber in the US; ASML in Europe; Tokyo Electron in Japan; TSMC in Taiwan; and BYD in China. The session will also examine how natural language processing and large language models are reshaping the way quantitative and fundamental managers extract insights from raw data. We’ll highlight how these tools are being deployed to enhance understanding of risk and return, and how they’re increasingly supporting collaboration between quant and fundamental teams.

Description: This paper examines different objectives in managing credit concentration risk. The suitability of different measures and presentation techniques is discussed and illustrated in the context of a case study.

Description: This article addresses the difficulties of risk modeling in a poor economic environment. The problems include imperfect vendors of data, facing events that have never occurred before, unpredictable consumer behavior, conflicting data sources, and AAA credit doesn't always mean AAA.