Description: This session from the 1995 Vancouver Meeting reexamines Monte Carlo solutions for actuarial problems. From the Record of the Society of Actuaries, Vol. 21, No. 3a.

Description: Article discusses the conference on mathematical simulation models at Duke University on Oct. 31, 1968.

Description: At this session 114 PD of the Toronto Spring Meeting, participants learn how to create efficient simulation models in Excel for various problems arising in finance and insurance. From the Record of the Society of Actuaries, Volume 27, No. 2, Session

Description: This paper introduces and illustrates a new version of the Monte Carlo method that has attractive properties for the numerical valuation of derivatives. Quasi-Monte Carlo methods use deterministic sequences that are quasi-random sequences that result in better convergence and deterministic error bounds.

Description: According to the Actuarial Standards Board’s Actuarial Standard of Practice No. 49 (ASOP 49), actuarially sound Medicaid managed care capitation rates will include a provision for underwriting gain in order to provide compensation for the risks assumed by an MCO. However, there is no generally accepted method for quantifying underwriting gain in managed Medicaid capitation rates. This article discusses a new model developed to address this void and calculate underwriting gain. The model was developed by researching existing financial literature and performing a statistical analysis of industry data to build out a framework that can be leveraged to estimate underwriting gain.

Description: This is a short story on the retirement income calculator.

Description: This is the abstract of the paper Quasi-Monte Carlo Methods in Numerical Finance. This paper introduces and illustrates a new version of the Monte Carl method that has attractive properties for the numerical valuation of derivatives. The traditional Monte Carlo method has proven to be a powerful and flexible tool for many types of derivatives calculations.

Description: This article talks about replicating portfolios, a basket of financial instruments designed to replicate, as closely as possible, the value and market sensitivity of a target portfolio of liabilities in different economic scenarios.

Description: The purpose of this paper is to explore pension plan metrics— – measuring the behavior of a defined- benefit pension plan in an uncertain environment. Our goal is to measure and evaluate the quantitative impact of competing policy choices. We proceed by investigating some basic pension metrics, evaluating the characteristics of each using a simulated pension plan. We find that some typical metrics— – such as the mean and standard deviation— – are useful only in certain circumstances and that other less traditional measurements are sometimes better suited to evaluating policy choices.