Case Study: Natixis teaches local volatility faster with Wolfram Mathematica

One Hundred Times Faster Using Mathematica to Teach Local Volatility

Natixis, a global financial services firm, faced a challenge in teaching the complex topic of local volatility to its employees. An investment banker running an internal workshop found that using only traditional math created a huge obstacle, as the intricate calculations distracted from the students' overall comprehension of the subject.

The solution, implemented using Wolfram's Mathematica, used Monte Carlo methods to demonstrate the concept without getting bogged down in manual math. Wolfram's technology handled all the heavy computations, which an employee reported made the process one hundred times faster. This allowed students to focus on the core concept, with dynamic graphs and interactive models leading to significantly better understanding.

Natixis

Jose Luu

Investment Banker