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: 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 article highlights 13 attributes shared by various groups of companies that landed in trouble. The companies are identified, and the attributes are described.

Description: As the size of the life reinsurance market in Bermuda has grown to over half a trillion dollars at the end of 2021, more and more actuaries are getting involved with this 21 square mile North Atlantic island in one way or the other. Come explore a fundamental understanding of the Bermuda solvency framework and an overview of its upcoming changes.

Description: 1996 Valuation Actuary Symposium. In this session on sources of earnings, the panelists discusses implementation of SOE reporting, use of SOE as a management tool, why having SOE reporting is particularly useful for international operations, and SOE reporting from a reinsurance perspective.

Description: This article discusses the Insurer Solvency Assessment – Towards a Global Framework report prepared by the IAA Insurer Solvency Assessment Working Party WP. The conclusions of the report are consistent with the three pillar approach to the regulation of financial service entities that is reflected in the Basel Accord for the regulation of banks internationally. The pillars are: Pillar I: Minimum financial requirements. Pillar II: Supervisory review process. Pillar III: Measures to foster market discipline.

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 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.

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.