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Smart security investing requires in-depth research and analysis. Measuring all the influencing factors is an essential part of risk management. As a result, research groups continually create and modify mathematical models to calculate stock value, review forecasts, and develop innovative risk strategies.
"With this tool [MATLAB®], it is now possible to implement a sophisticated financial model within a couple of hours and run it in a couple of seconds."
Gustavo Aleixo de Oliveira,
Fleet Asset Management
Fleet Asset Management
 | The MATLAB product helps you calculate option valuation (left), optimize capital allocation (center), and develop forecasts from time series data (right). Click on image to see enlarged view. |
Equity research groups use the thousands of math and graphics functions in MathWorks products to access stock data, perform statistical analysis, determine derivatives pricing, perform sensitivity analyses, and run Monte Carlo simulations. The graphics capabilities in MATLAB offer a variety of ways to review time series data, visualize portfolio risks and returns, and create forecasting graphs.
Select any of the following links for more information on:
- Introduction to MATLAB in Finance
- Why use MATLAB
- Analyzing and modeling financial data
- Rapidly Deploying Financial Applications
Financial Modeling Recorded Webinar
Using MATLAB to Develop Financial ModelsPresented by Kas Sharma
Senior Applications Engineer, The MathWorks
The MathWorks' most popular webinar on financial modeling features live product demos.
Get a custom quote for Financial Modeling products
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The MATLAB high-level matrix-based programming language allowed us to reduce a huge amount of computational effort, resulting in both speed and precision.