Description: This article demonstrates how to implement DevOps for data using Moody's Axis. This was described as Model as Data (MAD). It described how extract turn-around documents from the model so they could be loaded back into the model. This feature allows continuous integration, continuous deployment and continuous testing of the model, which are important concepts in DevOps. This will allow the actuaries to speed up the model development cycle.

Description: The United States Geological Surv ey USGS released the latest version of its National Seismic Hazard Maps NSHM in April 2008. The maps, which were last updated in 2002, define the latest scientific view of earthquake hazard at varying probability levels across the United States.

Description: A research report that examines modeling of cash flow associated within a pool of mortgages and specifically focusing on the effectiveness of infusing a limited amount of capital into the pool.

Description: A guide to the protocols and rules necessary to ensure an accurate savings comparison when using an historical claims repricing in the PBM RFP process.

Description: Presents some elementary and down-to-earth calculations for the optimal dividend strategy that maximizes the expectation of the discounted dividends until the possible ruin of a company.

Description: Presentation from the 2006 41st Actuarial Research Conference focusing on the declining usage of expert opinions in the actuarial profession.

Description: This paper shows the application of a threshold strategy on the surplus level of an insurance risk model results in a process that can be analyzed as a doubly infinite Markov chain with finite blocks. The resulting procedures are then used to calculate the probability distributions for time of ruin, the surplus immediately prior to ruin, and the deficit at ruin. From the Actuarial Research Clearing House, 2008, Vol.1.

Description: This paper discusses stochastic treatments for insured Long Term Disability [LTD] benefits under a group insurance policy.

Description: The problem of finding the distribution of sums of lognormally distributed random variables is discussed. References going back to the 1930’s are given, as well as some possible solutions. A formula for the characteristic function of one lognormal is stated, and then the moments and distribution of the logarithm of sums of lognormals are considered.

Description: This abstract describes a paper that investigates how to apply a stochastic mortality model in the presence of missing data, using 'multiple imputation'.