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MATLAB for R Users in Computational Finance

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MATLAB for R Users in Computational Finance

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23 Jul 2013 (Updated )

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

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Description

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/

Acknowledgements

Intelligent Dynamic Date Ticks and Portfolio Optimizer Tool inspired this file.

Required Products Financial Toolbox
Optimization Toolbox
Parallel Computing Toolbox
Statistics Toolbox
MATLAB
Datafeed Toolbox
MATLAB release MATLAB 8.1 (R2013a)
Other requirements RStudio to run certain examples
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Updates
22 Oct 2013

Minor edits

17 Dec 2013

Changed description text

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