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: This article discusses important implications of the upcoming Long-Duration Targeted Improvements (LDTI) accounting change for the modeling actuary. We discuss the modeling implications of new GAAP standards for Market Risk Benefit (MRB), including identification of MRBs, implementation of fair valuation in actuarial systems and retroactive determination of at-issue valuation inputs for transition. We also examine the modeling implications of the other aspects of the accounting change, including Liability for Future Policy Benefit (LFPB), Deferred Acquisition Cost (DAC), and other transition and disclosure requirements

Description: A brief introduction to a new SOA research on liability-driven investment benchmark model.

Description: The article warns against treating the results of a stochastic model with more deference than other actuarial analysis, and describes some hidden risks involved with choice of model and calibration.

Description: The MACRA/QPP Payer Revenue Model is designed to provide Health Plans an estimate of the expected claim cost increase/decrease due to MACRA.

Description: As of 2019, most companies have defined a model steward role. However, this role is defined differently across the industry and the people in this role face a variety of challenges. The expert panel will share background, war stories and best practices from their years of experience in the role.

Description: Read the November 2019 issue of The Modeling Platform, published by the Modeling Section. Newsletters provide practical information for the working actuary, articles on trends that impact sections and news about section activities.

Description: Summary of the modeling-related sessions from some of the major 2018 Society of Actuaries (SOA) meetings: Life & Annuity Symposium, Health Meeting and the Valuation Actuary Symposium.

Description: A brief introduction to a new SOA research on liability-driven investment benchmark model.

Description: Discussion of machine learning applications currently being used to augment traditional actuarial modeling in the life insurance industry. This includes data science techniques for: Quantifying and explaining differences between model versions or reporting periods Building proxy models for actuarial model output using machine learning One-class classification for data integrity checks Applications of unsupervised learning (e.g., clustering and principal components analysis) to reduce model run time