Description: The June/July 2014 edition of The Actuary magazine—the Society of Actuaries’ flagship publication.

Description: This article explores the use of Generalized Additive Models and Multivariate Adaptive Regression Splines to model nonlinear relationships in a linear response model. These models use supervised methods to determine the optimal shape of the predictors in the model. Users are provided an example use case so that they may get started right away building models to explore complex relationships in new ways.

Description: Regulatory change and increased focus on internal risk management are driving a renewed interest in model efficiency. In this session, we will review several new and existing tools, that show significant promise for advanced modeling of equity linked products. These include: • Clustering • Use of unique--and potentially a different number of--scenarios for each policy • Semi Monte Carlo (SMC) – this is a proprietary technique that is similar to a combination of Monte Carlo and numeric integration • Using a neural network approach to optimize some of the more complex and manual aspects of clustering and improve the fit of the clustered model • Combining SMC with the use of unique scenarios per policy

Description: The August/September 2014 edition of The Actuary magazine—the Society of Actuaries’ flagship publication.

Description: Read the Quo Vadis Reinsurance.

Description: This is the first of two articles discussing technologies used to control data. this article covers data management strategies.

Description: This article discusses the risk management approaches of insurers. The author described some of the current practices of the total return approach, how the total return approach is used in managing risks as a process, and a model that takes future sales into consideration and determines the appropriate fair valuation method of an ongoing business.

Description: Complete issue of the August 2014 Risk Management newsletter.

Description: The widening gap in life span between high- and low-income Americans may be eroding the progressivity of Social Security retirement benefits. Differential longevity trends have had the effect of raising lifetime benefits for high earners but not for low earners. Social Security’s long-term financial problems result in part from an increase in average life expectancy driven by wealthier people living longer, and, thereby, collecting more benefits. Policymakers should not use funding shortfalls attributable to these trends as an excuse to cut monthly benefits alike for those who have gained (high earners) and for those who haven’t (low earners).