Description: This article discusses the advantages, logistical concerns, and pricing formulas of implementing a TNHP, in which members pay less for treatment from providers who meet higher quality and cost-effectiveness standards.

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

Description: This article discusses how to get data into and out of R, an open source language for statistical computing.

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: This paper proposes using a classic actuarial framework of frequency and severity, modified to address the unique challenge of XPL.

Description: In this article about interest rate models, the author develops an empirical description of the term “interest rate regime,” and looks at the relationship between changes in yield curves and moving to a new interest rate regime.

Description: Overview of the issue.

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.