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: Actuaries understand the technical benefits of converting their models to a modern actuarial system, such as new capabilities and upgraded technology. This article highlights additional, non-technical benefits that also come with model conversion. These benefits include advancements in attitudes and capacities among the team and across the company.

Description: The article warns against treating the results of a stochastic model with more deference than other actuarial analysis, and describes some hidden risks involved with choice of model and calibration.

Description: This article explains why stochastic modeling is becoming more pervasive, and describes a specific stochastic application with metrics to measure results.

Description: An Overview of Stochastic Simulation modeling techniques and usages

Description: A data format for mortality tables along with applications.

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: Private LTC insurers are paving the way for value-based care through working to implement care management programs that improve the lives of their policyholders before and during a claim. However, measuring the effectiveness of these new programs is a challenging task. In this article, we will explore powerful tools that can enhance traditional effectiveness studies and address some of their existing weaknesses.

Description: This is a record of a session at the October 1975 Annual Meeting of the SOA. It discusses what can be done with a corporate model and how it can be used to solve problems. 1975 Record Vol. 1, No 4.