Description: Appendix to the Critical Review of Stochastic Simulation Literature and Applications for Health Actuaries. The Development of a Simulation Model of Primary Prevention Strategies for Coronary Heart Disease

Description: Summary of SOA research report "Optimizing Risk Retention" which applies parametric survival models and Monte Carlo simulation to a block of term life business.

Description: discussion of the ongoing developments in reserving and risk-based capital RBC requirements for variable annuities including stochastic scenario projections

Description: More Efficient Monte Carlo Simulations for Mortality Assumption Testing

Description: This article is a book review of “Two Stochastic Processes,” by John A. Beekman. The author of this article notes that the two stochastic processes referred to in the book are the Gaussian Markov and the collective risk stochastic processes, and that both the theory and applications are examined. Note: a more detailed review of this book will appear in the Transactions.

Description: Discussion of the appropriate use of geometric versus arithmetic average returns to use in a stochastic interest rate generator to be equivalent to a deterministic single interest rate scenario.

Description: A study on stochastic simulation literature as it applies to a health actuary.

Description: The Risk Management Task Force polled the Risks & Rewards readers and asked the following questions related to Monte Carlo models: 1 How many scenarios do you run? 2 How did you determine the number? and 3 What confidence interval does your result have? The results are summarized in this article.

Description: Feature article discussing numerical short cuts, rules of thumb, estimators, modeling tips, etc. The featured problem is fitting the intermediate points for a real-world stochastic model of interest rates.

Description: A summary of Modeling Section-sponsored sessions at the 2016 Life/Annuity Symposium, covering model risk management, model governance, and model efficiency.