Description: A presentation on the principle of equivalent utility from the 2001 ARCH. Contains both the static and dynamic model as well as examples with exponential utility.

Description: This is the programme of the 24th Actuarial Research Conference. From the Actuarial Research Clearing House 1990 Vol. 1.

Description: This presentation defines the risks in the context of pension plans and reviews their relationship. From 2000 ARCH, Quebec City, Canada., January 2000.

Description: This 1997 presentation from the 32nd Actuarial Research Conference provides background on the work of the Society of Actuaries' Research Effectiveness Task Force [RETF] and presents the current status of that work in order to set the stage for breakout sessions during which Conference attendees have an opportunity to provide input to the SOA research effectiveness review.

Description: This presentation from the 1998 Actuarial Research Conference is about about retirement plans in the late 1990's. From Actuarial Research Clearing House 1999, Vol. 1.

Description: PowerPoint slides from Adam's presentation on the tri-model model of Canadian inflation. The cost of indexation protection is reviewed.

Description: What are the possible future implications to insurance companies of significant improvements in mortality? How can futurism techniques be used in research? The formation of the mortality improvement study group at the Principal Financial Group was the first step toward examining the issue of mortality improvement. In an interactive format, we will present what we learned about mortality and futurism techniques by participating in this group.

Description: In this presentation, the authors develop a stochastic generator for the generation of scenarios of the S & P 500 index, dividend yield, consumer price index, and U.S. Treasury yields. They first create a set of 'stylized facts' for these series. These in-sample statistical models are themselves not suitable for generation of scenarios for decision making, but instead are additional stylized facts that assist in model development. The 'best' statistical model according to standard statistical model selection criteria can easily lead to a model that is highly unsuitable for generation of scenarios for decision making. The authors develop a stochastic generator that is suitable for decision making under uncertainty. From Actuarial Research Clearing House 1997, Vol. 1.

Description: This 1997 presentation from the 32nd Actuarial Research Conference is about the challenges of an aging population on retirement, Social Security, Medicare and long term care. From Actuarial Research Clearing House 1998, Vol. 1.

Description: This 1997 presentation from the 32nd Actuarial Research Conference develops a stochastic generator for the generation of scenarios of the S&P 500 index, dividend yield, consumer price index, and U.S. Treasury yields. The authors first create a set of 'stylized facts' for these series. They estimate statistical models for these series. These in-sample statistical models are themselves not suitable for generation of scenarios for decision making, but instead are additional 'stylized facts' that assist in model development. The 'best' statistical model according to standard statistical model selection criteria can easily lead to a model that is highly unsuitable for generation of scenarios for decision making. The authors develop a stochastic generator that is suitable for decision making under uncertainty.