MATLAB for R Users in Computational Finance

Learn how to use MATLAB and R together to tackle your computational needs

This submission contains files from the “MATLAB for R Users in Computational Finance” webinar, highlighting the interconnectivity between MATLAB and R, and some of the differences between the MATLAB environment and R/RStudio. Demos include:
• Interactive data import, cleaning, visualization
• Customized risk and portfolio analysis
• Parallel computing to speed up a trading strategy backtest
• Calling R from MATLAB
• Deploy an application to Excel
To view the webinar, please follow this link:
http://www.mathworks.com/wbnr78271
To learn more about MATLAB products for computational finance, please visit the following link:
http://www.mathworks.com/computational-finance/
To learn how MATLAB is used in the financial services industry, please visit the following link:
http://www.mathworks.com/financial-services/
To learn how to speed up your computations by leveraging MATLAB’s parallel computing and GPU computing support, please visit the following link:
http://www.mathworks.com/products/parallel-computing/
To learn more about application deployment options with MATLAB, please visit the following link:
http://www.mathworks.com/desktop-web-deployment/