Description: Investment Fallacies: Simulation of Long-Term Stock Returns: Fat-Tails and Mean Reversion

Description: Summarizes a research paper considering insurer performance during the financial crisis, with actions and circumstances that improved results highlighted.

Description: Feature article discussing the implications and uses of market consistent embedded value in developing investment strategy.

Description: This presentation suggests a possible flexible solution to the time and resource problems of running a large number of stochastic interest rate scenarios, by selecting a representative subset. Each interest rate scenario consists of 30 future spot yield curves, where a reasonable number of points are specified on each curve such as 12. The distribution of the scenarios is approximated by the subset and each scenario in the subset has equal weight. The method is independent of the inter rate generator used.

Description: This paper demonstrates that using a conditional probability approach to analyzing investment data yields investment forecast and stock option pricing models which more closely match actual market data, and it demonstrates the impact that conditional probabilities could have on CAPM beta and risk premia calculations. Reprinted from: Journal of Financial and Economic Practice, Vol. 6 No. 2 Spring 2006.

Description: Discusses how surplus should be defined, how it should be invested, and how the rating agencies may respond to various approaches. From the 1987 Record of Society of Actuaries, Vol. 13, No. 3.

Description: Investment Fallacies: Bitcoin Fallacies

Description: Asset Adequacy Analysis for the Long-Term Care Product: A Case Study by Amy Pahl from Long-Term Care Newsletter, December 2004, Issue No. 13.

Description: This paper discusses both the theoretical and the application aspects of stress testing in managing enterprise risks. Effective stress testing maximizes the risk adjusted enterprise profit by controlling major risks financial, strategic, operational and hazard upon identifying risk metrics and modeling the correlations. A case study is included for demonstration purposes.