Description: This is the disclaimer for the Economic Scenario Generators tool available from the SOA / AAA on the SOA Website.

Description: This risk bulletin, published by the Society of Actuaries, provides insights and expertise on critical business issues from industry leading enterprise risk management actuaries.

Description: Appendix C is round 1 reasons for projections from the Delphi report. See the SOA webite Research pages for the complete report of Delphi Study of Economic Variables Report which includes the full report along with all the appendices.

Description: Appendix F is round 1 future developments from the Delphi report. Please see the SOA website Research section for the full Delphi Study of Economic Variables Report along with all of the appendices.

Description: Data science, predictive analytics and AI are certainly the buzzwords these days. They are heavily used and developed in underwriting and marketing but for most actuaries, they might/may as well be science fiction. The presenters will demonstrate how a normal actuary can utilize data science techniques in their daily job function without forming an official data science team within a company. It can be done in a gradual fashion so that normal business is not disrupted and improvements are made over time. The usage of data science techniques will include demonstrations of the following areas: - Regression analysis - Economic scenario generator - Experience study - Data quality checks - Inforce compression for explicit hedging

Description: 2021 ImpACT Conference - Session 5A: Pandemic Rewind: Risk Management and Scenario Modeling Learnings 10.26.21 Recording

Description: Stochastic modeling requirements are resulting in more 'run time' and less 'analysis time'. An expensive solution is leveraging cloud infrastructures and robust computing grids. The presenters will explore the use of cluster modeling and present case studies showcasing this automatable and robust technique, which could allow actuaries to recover the time lost to 'run time'. Developing automatable and clustered models requires robust governance practices to ensure credibility of results.

Description: After more than a decade of a prolonged low interest rate environment, long-term Treasury rates have started to increase with higher volatility. While it is generally agreed that a modest increase in interest rates and inflation is beneficial to the life insurance industry, interest rate risk remains a significant challenge for life insurance industry to manage its long duration liabilities, especially under volatile interest rate environments. Learn how to proactively manage interest rate risk and improve capital efficiency through the cash flow based strategic asset allocation (SAA) framework. Discover practical examples of how to combine asset allocation with derivatives to manage tail risk and liability convexity.

Description: Find out how actuaries can use the principles of microservices, which are fundamentally important for improving outcomes for actuarial modernization initiatives. This presentation is NOT worried about Mmcroservices technology itself, but, microservices have properties that actuaries can mimic and replicate to make business processes be more efficient, more timely, and easier to maintain and govern. Focus on how you can incorporate software engineering concepts into help solving actuarial problems without concerning yourself with software engineering technology.

Description: Appendix B is round 2 questionnaire on the study of selected economic variables using the Delphi method from the Delphi Report. See the SOA website Research for the complete report of the Delphi Study of Economic Variables Report which includes all the appendices.