Description: This article will be focused on maximizing the reuse of code using features available within Moody’s Axis specifically targeted at using Formula Link.

Description: As any international traveler who has tried to plug in an electronic device knows, the human race is great at devising many different ways to accomplish the same task. Predictive modeling is no different. Data scientists can choose from a wide variety of languages to prepare data, fit models, and verify results. The Rosetta Stone, which showed writing composed in three languages side by side, was instrumental in translating unfamiliar Egyptian hieroglyphics into the more common Greek language. This presentation follows a similar approach by showing the same predictive model implemented in the following languages: R, Python, Spark, MatLab, and SAS. Participants will compare and contrast each of these languages and, by doing so, build a greater understanding of those languages less familiar to them.

Description: This article describes how to model variable annuities using a GPU along with some of the stumbling blocks.

Description: October 2015 issue of CompAct, the technology section's member benefit newsletter.

Description: Presented at May 2005 Spring Meeting. Panelists discuss strategies for increased modeling speed as risk management, valuation and product development activities have been requiring increasingly complex financial models.