WOLFRAM

Optimizing Supply Chains: Building Simulation Models with Mathematica (2:47)

George Danner , Business Laboratory

Wolfram Technologies in Finance: Reducing Risk through Backtesting and Portfolio Analysis (3:25)

Stephane Caraguel , Quantitative Portfolio Manager

One Hundred Times Faster: Using Mathematica to Teach Local Volatility (3:08)

Jose Luu , Natixis

Case Study
Deploying Symbolic Computation to Build a Next-Generation Financial Reporting System
Langham Hall
Play 4:34
Analyzing Risk: Improving the Speed and Reliability of Financial Models with Mathematica
Mathematica, BRED Banque Populaire
Play 2:55
Insuring the Auto Racing Industry: Calculating Prices for Volatile, High-Risk Markets with Mathematica
Francois Roth, CEO, MTA
Play 3:50
A Comprehensive Solution: Developing an Enterprise-Wide Platform with Mathematica
Philip Zecher, Chief Risk Officer, EQA Partners, LP
Play 2:58
Modeling the Aftermath: Mathematica's Role in Hurricane Insurance Research
Seth Chandler, University of Houston Law Center
Play 3:23
Inside the Interface: Optimizing Search with Mathematica
Joel Drouillard, BondDesk Group LLC
Play 3:45
Dynamics of Change: Modeling the Economic Effects of Global Warming with Mathematica
Stuart Nettleton, Senior Lecturer, University of Technology, Sydney
Play 3:54
A Quantitative Edge: Powerful Web Analysis with Mathematica
David Howell, Corporate Analysis Team Lead, Wolfram Research, Inc.
Play 2:51
A Fresh Approach to Forecasting Mortgages: Developing New Models in Mathematica
Bernard Gress, Financial Economist, Fannie Mae
Read
Predicting the Health of the United States Economy
Read
Using Mathematica to Correct Flaws in Textbook Models for Derivatives Trading
Read
Analysts Better Represent Financial Structures with Mathematica Symbolics
Read
Mathematica Relied On for Cotton-Fiber Research, Testing, and Evaluation