Description: This tool created graphs of Google's mobility Data. This version of the tool contains global, country-level data through July 31, 2020

Description: Authored by a MIB Solutions team of Tom Rhodes, Stuart Klugman, Marianne Purushotham and Stacy Gill, the report summarizes the results of a study on the application and adoption of credibility theory within the life insurance and annuity industry. This excel spreadsheet is a numerical example relating to the application of Credibility for lapses. Please see the SOA website research section for the complete research report on Credibility Theory Practices.

Description: The SOA's Committee on Finance Research is please to make available the results of this research project, jointly sponsored by the SOA and CAS, that explores economic series and provides and Excel based tool for generating future economic scenarios. This is an Excel Spreadsheet for Appendix C showing Simulated Financial Scenario Data of inflation rates and interest rates from this research project. Please see the SOA website for the full report and other related spreadsheets.

Description: 2021 Life Meeting - Session 5E: Importance of Strategic Asset Allocation in a Rapidly Changing Macro Environment 8.31.21 Recording

Description: The Individual Life Experience Committee is holding a competition encouraging actuaries and other interested parties to predict 2017 industry mortality based on a data set containg 2009 - 2016 data. The competition is not only about predicting mortality, but also about explaining and presenting the results.

Description: The actuarial profession now has an official definition of a model with the introduction of ASOP 56. In this session, we'll examine how the definition of this model has expanded and what it means for our daily work as modelers. Have your practices as a modeler complied with ASOP 56 since it was drafted? What new practices will you need to put in place to work in accordance with the new ASOP? We'll answer these questions as we delve into ASOP 56 and how it applies to modeling and the processes that support it. Interpret ASOP 56 as it applies to their daily work. Identify areas of their current processes that could be enhanced to better comply with ASOP 56. Design documentation in accordance with ASOP 56.

Description: The Scenario Modeling e-course provides you with extensive practice building and running the types of economic scenarios you may be required to create as an actuary. You will deploy RStudio throughout the module to build simulations, apply variance reduction techniques, and calibrate and validate stochastic models. Throughout this module, you will see many functions and you will be asked to try to create them first before they are revealed to you.

Description: Focus on the importance of achieving complete and accurate technical reviews of work products that contribute to decision making. As actuaries, we often face tight deadlines and the demand is high for our team members to provide results in a timely manner. Through investing upfront time into a quality review of our work product, with an added focus on professional excellence and ethics, overall time savings can be gained and an overall higher quality work product can be achieved, not only of the technical work being performed, but of the decision making that is influenced by the result of the work. At the conclusion of this session, you will be able to understand the value of technical reviews and the methods of preparing for and implementing technical reviews across a team.

Description: Generative artificial intelligence (AI) tools like ChatGPT will redefine the nature of work across industries in coming years, What does this mean for the actuarial profession? Delivering generative AI tools to actuaries capable of leveraging them effectively will dramatically modernize how actuaries work and contribute to organizational growth. In this educational session, explore how generative AI can accelerate actuarial model development. Gain an introduction to generative AI and its implications for actuarial modeling. Learn how it specifically helps actuaries improve accuracy, reduce errors and save time in model development. Then explore use cases, including how generative AI can improve data cleaning, model building, as well as simulate scenarios and test model robustness. Close with a discussion on how to integrate generative AI into actuarial modeling workflows effectively, including common challenges actuaries may face during implementation and tips to overcome them. You will come away with a deeper understanding of how generative AI can accelerate actuarial model development.

Description: This is correction to a paper entitled 'Six Bridges to psi,' which was printed in ARCH 1993 Vol 1. From ACTUARIAL RESEARCH CLEARING HOUSE 1994, VOL. 1.