Description: In this webinar, the presenters will give a behind the scenes look at how the NAIC ESG was parameterized. They will also share the results of its most recent calibration.

Description: This article discusses the attributes of a unified Operational Risk Management framework and how those attributes can underpin a seven-factor economic capital model.

Description: Appendix 2 from the research report entitled 'Exploration of Reputational Risk from the Perspective of a Variety of Stakeholders.'

Description: To discuss the principles to be followed in the determination of dividend distribution scheme, how to ensure the fairness and sustainability of dividend distribution, and the specific issues to be considered in the practice of dividend distribution.

Description: Following recent market volatility and regulatory changes, market data and market-consistent economic scenarios are at the core of the valuation of liabilities and market risk benefits under regimes such as IFRS 17 and Long Duration Targeted Improvements. This webcast will explore options available to insurance companies to establish stable long-term volatility assumptions and discuss how the choice of financial data can impact the calibration and the simulation of credit spread scenarios.

Description: The speakers will work through hands-on Excel examples of bootstrapping interest rate curves—including forward, spot, and par rates. The presenters will also cover models such as Hull-White and the Forward Market Model with an emphasis on derivative valuation and exposure calculations.

Description: Why Write Variable Products When You Can Put the Money Directly into the Stock Market?

Description: Our panelists will explore fixed income topics from an actuarial perspective. We'll start with the basics of bonds, including sensitivity measures like duration and higher moments. Then, we'll discuss bond ALM characteristics, highlighting the advantages and disadvantages of incorporating various bonds into a portfolio. Finally, we'll cover actuarial modeling considerations, such as reinvestments, defaults, expenses, and other assumptions. We encourage the audience to ask questions throughout the presentation and we hope you can join us for an engaging discussion!

Description: This report explores how artificial intelligence can be applied to investment and retirement planning, highlighting real-world applications, risks, and recommendations.

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.