Description: Describes using the new multi-risk scenario generator to create sensitivity tests at moderately adverse probability levels, resulting in margins to use for PBR.

Description: How do you make model output media worthy? This article explores considerations that may contribute to the mass production of model results for public consumption.

Description: This paper uses a mortality surge model to estimate the total financial impact on the U.S. insurance industry of a flu pandemic. It does not attempt to determine the probability of such a pandemic.

Description: The author recommends the use of "minimally destructive scenarios" as part of an ORSA process, in order to deal with cognitive bias that can occur in risk decision-making. Part of the essay collection "Risk Metrics for Decision Making and ORSA"

Description: The author delves into other important parts that should be in the scope of model validation besides the code.

Description: This article discusses the sensitivity of actuarial functions to interest rate changes.

Description: 1993 SOA Annual Meeting in New York. This session is about Dynamic Solvency Handbook developed by The Financial and Investment Management Practice Education Committee. The handbook is for actuaries who prepare solvency reports, and the targeted completion date was December 31, 1994.

Description: This article discusses challenges that short-term predictions have on actuaries' reputations, both as individuals and as a profession, and discusses strategies to improve our professionalism and better manage this risk.

Description: It is worth the effort to obtain a pricing surface. It helps make an informed decision and facilitate the pricing conversation within and outside a company.

Description: Presentation at the 41st Actuarial Research Conference held on August 10-12, 2006 in Montreal, QC. This paper considers the problem of extending regime-switching models for asset returns to the situation with multiple asset markets. The conditional tail expectation CTE is highly sensitive to the assumed dependence structure between the regime models for the different markets. A Monte Carlo simulation is used to illustrate the cost of misspecification. The authors find that the model most commonly used by practitioners is worse than all of the alternatives that they investigate.