Description: The American Academy of Actuaries and the Society of Actuaries have joined resources to maintain this Economic Scenario Generators Excel Workbook tool for use in regulatory reserve and capital calculations. Please see the SOA website research pages for further information on this tool and how to use it.

Description: The Relative Risk Tool (RR Tool) is free and easy-to-use. RR Tool helps actuaries determine the appropriate Relative Risk (RR) tables. Use RR tables in conjunction with determination of Principles Based Reserves (PBR).

Description: Explains the methods for determining rates based on experience, such as mortality and claim utilization rates.

Description: Financial economics is the discipline underlying all financial services. No matter what your area of specialty or your role in your organization, an understanding of financial economics is essential. As you will learn in this module, financial economics is the study of how individuals and institutions acquire, save, and invest money. These activities are fundamental to institutions and individuals. Thus, not only will this module help you be a more knowledgeable actuary, it will also help you with your personal financial planning.

Description: In the third quarter of 2022, publicly traded life insurers reported on their financial and operational activities, which included a downturn in income from alternative investments, the continuing impact of COVID, the impact of equity market returns on variable annuity products, and growth trends related to pension risk transfer transactions.

Description: Advanced Topics in Corporate Finance and Enterprise Risk Management (ERM) covers a broad range of corporate finance concepts. As part of a 10-year strategic plan exercise, you'll apply opportunity engineering to help guide senior management in introducing a new product to market. You'll also focus on three applications of Extreme Value Theory (EVT), which are covered and tested in a business context.

Description: This report summarizes the available tables and tools in Simplified Chinese.

Description: Driver-based forecasting is a powerful tool to predict and estimate future outcomes. In recent years, driver-based forecasting has gained significant attention as a technique for actuaries to forecast the financial performance of insurance companies. Often there can be frustration around the ability to use forecasts to manage the business. However the objective of a driver-based forecast is to break down historic and projected movement based on the key drivers which impact the results. The key is to understand what the key drivers are on forecasts and what is the relative level of impact and influence we have on the drivers. Listen in on a discussion on the core principles of driver-based forecasting, including how to identify key drivers, collect accurate data, and leverage the latest technology to generate forecasts that traditional models can't match. Explore with us the various driver-based models and how actuaries can leverage them to enhance their decision-making capabilities. Then join the conversation about the challenges actuaries face when implementing this technique and how to mitigate these problems.

Description: The last 20 years of global interest rate experience has low interest rates for long periods of time ('low for long'), negative interest rates, strange yield curve shapes, and now the most rapid increase in interest rates in our history. What is it we should be focused on as risk managers? Low for long, high rates due to prolonged inflation, or some blend of the two? The session will discuss our interest rate experience and the factors that appear to be dominant for the next decade. The session will address how one establishes a set of stylized facts to guide the development of a suitable interest rate model and how calibration targets can be determined. Discussion will then move to the suitability of existing interest rate models for capturing the real-world risks that actuaries and other finance professionals are concerned with. Are there interest rate models that are fit for purpose given the past 20 years of experience? A selection of candidate models will be discussed and illustrated.

Description: As we step out of a historical pandemic that put words like life expectancy and mortality rate on everyone's vocabulary, we suffer some measure of intellectual PTSD. This dark period magnifies our cognitive bias as we try to understand future mortality, a key variable both for life insurance and pension plans. Does our propensity to quantify and the attractiveness of new predictive modeling tools cloud our judgment? Check out a reflection framework and insights on scientific discoveries that will allow you to develop plausible scenarios that will enrich your thought process. The panelist will start by presenting what is new when we think about future mortality. We will then facilitate the generation of plausible scenarios by the audience and explain how we evaluate them. There will be no answers, but the relevance of your mortality questions will definitely improve.