Description: This session of the SOA 2003 Washington, DC Spring Meeting covers the basics of stochastic modeling with focus on random number and scenario generation, steps in creating models, and verification of models and assumptions.

Description: With seemingly unending demands on life & annuity companies for more intense and complex calculations, as well as greater sophistication around analytics, and all of this done at speed, never before has it been so important to seek out maximum efficiency in constructing models. In this session the panelists examine how the combination of various model efficiency approaches, pulling in many different facets of modeling and making it flexible enough to dial up or down various modeling components, can bring about incredible results. Not only does it become possible to produce and expand upon financial risk metrics via a building block approach, but also enables life insurers to produce analytics and dashboards to support strategic decisions that were simply not possible or cost effectively viable before.

Description: Full version of Risk Management, March 2007, Issue No. 10.

Description: In this article, the outgoing chairperson of the Section addresses the readership about the financial crisis.

Description: Chairperson’s corner in which the Chairperson talks about the diversity of issues in ERM.

Description: An Overview of Stochastic Simulation modeling techniques and usages

Description: Full version of The Actuary Newsletter Volume 37, Number 9 - November 2003

Description: Article from Risk Management Newsletter, July 2006, Issue 8 announcing the arrival of the Risk Management Section's Regional Meetings. The first event of this exciting endeavor was held in Toronto on June 1.

Description: Full version of Risk Management, December 2006, Issue No. 9.

Description: This session at the 2003 Valuation Actuary Symposium discusses advanced modeling techniques. Focus is on advanced liability and asset modeling issues, model distinctions between types of variable annuity guarantees, stochastic mortality, stochastic-on-stochastic modeling, and alternatives to stochastic modeling.