A Fresh Approach to Forecasting Mortgages: Developing New Models with Wolfram Technologies

Bernard Gress, Financial Economist, Fannie Mae

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"I think there's no question that Wolfram technologies are superior for this kind of project and development of this project."


Fannie Mae financial economist Bernard Gress is taking an innovative approach to predicting the stability of mortgages. He's using Wolfram technologies to create a genetic algorithm system that simultaneously finds the optimal model structure and the optimal dataset to use to make a final prediction.

He says Wolfram technologies are superior for developing this project. "Wolfram technologies, because they use expressions for the fundamental structure of all of their operations, and those expressions are directly manipulatable, that allows instantly, right off the bat, saves years of work right there," says Gress. "You visualize your data and parts of the function you're generating much easier. You can focus on where the issues are much quicker, so I think those are the advantages of Wolfram technologies for me."

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