Description: Private LTC insurers are paving the way for value-based care through working to implement care management programs that improve the lives of their policyholders before and during a claim. However, measuring the effectiveness of these new programs is a challenging task. In this article, we will explore powerful tools that can enhance traditional effectiveness studies and address some of their existing weaknesses.

Description: Given the limits of classical actuarial modeling and forecasting techniques, this newsletter contains articles discussing several ways to supplement your toolset.

Description: Introduces readers to the R language used for statistics and modeling of data.

Description: A Summary of the UVS Project by Dave Sandberg from The Financial Reporter, March 2001, Issue No. 45.

Description: This article discusses facts and issues related to the selection of a stock’s price distribution.

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: This article gives a brief overview of ways to extend clustering analysis beyond basic methods such a k-means

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

Description: Article discussing how geospatial imagery and high-resolution image technology are transforming property insurance.

Description: Actuaries can leverage cluster modeling to reduce model runtime and cloud compute costs, which can be a real concern as companies transition from an on-premise grid to a scalable cloud solution. We consider practical considerations associated with clustering, through both US statutory and US GAAP lenses. Lastly, the results from a variable annuity liability clustering case study are presented.