Description: Reviews basic desirable features in an economic scenario generator. Discusses basics of model structure and validation process

Description: The SOA’s Committee on Finance Research recently made available the results of a research study that explores economic series and provides an Excel-based tool for generating future economic scenarios. From Risks and Rewards Newsletter, August 2005, Issue No. 47.

Description: Statistics were invented to describe heterogeneity and are now applied to tackle alea. It may not be appropriate. Let's clarify their field of relevance.

Description: The article discusses that drawbacks of the HJM Heath-Jarrow-Morton class of stochastic interest models and suggests the use of the Longstaff-Schwartz string model. It describes the use and benefits of the Lonstaff-Schwartz string model.

Description: This article discusses asset-liability management from two different paradigms, one a simulation of the firm as an external observer e.g. shareholder would view it, and the other a “still life” at a given moment from an internal viewpoint.

Description: “Many commentators have suggested that firms need to do stress tests to examine their vulnerability to adverse situations that are not within the data set used to parameterize their risk models. We suggest the adop¬tion of a terminology to describe stress tests and also a meth¬odology that can be adopted by any risk model user to test and communicate a test of the stability of model results.”

Description: Applies the economic concept of negative externality (where firms profit but create unacceptable social costs) to systemic of financial institutions. Identifies alternatives to the traditional (Pigou) response of taxing the firm.

Description: This article discusses actuarial appraisal value and explores the relationship between cost of capital, market fair value of assets and liabilities, and the option pricing method.

Description: As stochastic modeling has evolved, it has divided down two paths—real-world and risk-neutral. This article discusses this division and shows how these paths may be re-united through the use of deflators.

Description: Are Your Scenarios on Target?From Risks and Rewards Newsletter, August 2005, Issue No. 47. Actuaries are faced with the dilemma of how to incorporate advances in insurance products and modeling technology into their work. Increasingly, this means looking at a large number of potential outcomes using stochastic simulations.