Description: Provides details of the 2nd forecasting competition for the best model that predicts the Civilian Unemployment Rate 'UNRATE', measured on a monthly basis, from March-end 2012 through September-end 2012.

Description: As providers are considering accountable and value based care models, it is critical to strategically think through how to achieve a sustainable business model into the future. This requires actuarial and clinical/provider capabilities to assess the care management and financial levers to help a client through the transition.

Description: Presented at October 1996 Annual Meeting. An update on Futurism Section activities followed by an introduction to common techniques of futurism. Examples are given how actuaries can use these techniques in their day-to-day work.

Description: The article describes the key components of actuarial model, leading practices in designing them, and characteristics of well-built models.

Description: The article gives a brief history of the development of the Delphi method, and describes the use of the Delphi method in studies by the Society of Actuaries over the past 25 years.

Description: In this article, we are going to discuss the AR model by making connections to time-dependent ordinary differential equations.

Description: This 1979 session is about recent advances in Prediction Theory. Topics included: 1. Statistical methods to predict path properties of a Time Series. 2. How and to what extent Box-Jenkins Time Series methods can be modified to predict two or more time series simultaneously. 3. Workable techniques that are already being successfully used in practice.

Description: Jeff Sagarin is one of the most well-known figures in the sports analytics world, with his sports ratings appearing in USA Today for over 30 years. Few may know that he started his career in the actuarial world, even passing three exams before his sports ratings took off. This article explores the parallels between the challenges of developing sports rating systems and the challenges that actuaries face every day.