Description: These are the presentation slides for Risk Management Education by R. Brown found in the January 2006 ARCH.

Description: Explore a general introduction to uplift modeling, a relatively newer area in machine learning which has been successfully used in retail (Wayfair etc.). The concepts are parallel to the intervention programs in health care, where we are interested in measuring the treatment effects and ultimately directing the right members to the most effective programs, driving the highest value for the programs both from a financial and health outcomes perspective.

Description: The note begins with a short overview of key characteristics of a modern tontine. This is followed by a representation of a tontine flowchart that explicitly displays the components of a tontine and their relationships. The remainder of the note discusses the specifics of those components, including: the valuation and buy-in module, the active life test, settlement options, and periodic payments.

Description: This paper investigates the use of models of dependent mortality for determining annuity values. We discuss a broad class of parametric models using a bivariate survivorship function called a copula. Using data from a large insurance company to illustrate our methods, we calculate maximum likelihood estimates to calibrate the rnodel.

Description: The results obtained during the last one-third of the research project and the project at whole are presented. The report only contains brief descriptions of the results which are placed in addendums and which are in reality copies of papers and a chapter of a book submitted for publication. Some theoretical and applied problems induced by the research are discussed.

Description: In this paper, we propose measures of the risk that the value of the liabilities becomes larger than the value of the assets, and this especially for insurance companies. We study probabilities of mismatching and a degree of mismatching in unsegmented and multidimensional models of the balance, in which we stress the influence of interest rates on the active and passive side of the balance.

Description: The purpose of this article is to provide an overview of soft computing applications in actuarial science. Soft computing refers to modes of computing in which precision is traded for tractability, robustness and ease of implementation.