Description: COVID19 highlights the need for greater complexity expertise in risk management. Crisis like the current COVID19 pandemic and 2008 Financial meltdown and others help us to turn into focus inwards for introspection on how we can better manage our resources and provide a deeper understanding of what our objectives should be and how we can achieve them through applying complexity science.

Description: This article summarizes the presentations by the Society of Actuaries and the Academy of Actuaries at the January 2015 National Academy of Social Insurance (NASI) Roundtables in Washington DC. SOA presented on the 2014 SOA monograph series "The Link between Retirement Security and Long-Term Care."

Description: Part 2 of a six-part series on the evolution of risk management continues with this article on dynamic financial analysis.

Description: This articles describes some of the industry issues that new-generation risk modeling technologies can address and the emerging technology of simultion as it applies to risk modeling.

Description: The article explores impact of resetting cap vs static cap choice for the GLWB rider for a Fixed Index Annuity for a Point to Point. Moreover, analysis of a Monthly Sum Cap is provided showing impacts of particular choices of market models (e.g. Black, Heston, Bates) used to price this deal.

Description: A study on stochastic simulation literature as it applies to a health actuary.

Description: The series expansion of a probability density function, known to actuaries by Esscher's name and to statisticians as the saddlepoint approximation, typically gets integrated to approximate probability values under the density, with a location parameter in the expansion chosen to optimize convergence of the integrated series. We review the general form, the accuracy and the derivation of the Esscher approximation. Then we propose using related series expansions for the derivative of a probability density function to approximate the value of the point of maximum likelihood for the density. The key is to make the value of the location parameter an unknown and assume it to be the point of maximum likelihood, which leads to a tractable optimization problem to find its value.

Description: This is the abstract of a preliminary report on a research project about the applications of dynamical systems theory in actuarial science. The project is funded by the AERF. The paper will briefly describe the nature of dynamical systems and present a tentative model derived from percolation theory that could be used to understand the pricing variations encountered in a competitive environment and that could also be used as a model for credibility. From Actuarial Research Clearing House 1992, Vol. 1.

Description: This paper describes the use of the Moses software package to model variable annuities with multiple guarantees. Pricing and risk management are discussed.

Description: To deal with future correlation crises, the author suggests the implementation of ‘’quanlitative analysts’’ (‘Quanls’) in the enterprise risk management (ERM) process: risk managers who are able to lead interdisciplinary ERM studies from a jointly qualitative and quantitative point of view, with an emphasis on dynamics.