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MATLAB for R Users in Computational Finance

version 1.2.0.1 (4.62 MB) by Ameya Deoras
Learn how to use MATLAB and R together to tackle your computational needs

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Updated 01 Sep 2016

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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/

Cite As

Ameya Deoras (2020). MATLAB for R Users in Computational Finance (https://www.mathworks.com/matlabcentral/fileexchange/42514-matlab-for-r-users-in-computational-finance), MATLAB Central File Exchange. Retrieved .

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MATLAB Release Compatibility
Created with R2013a
Compatible with any release
Platform Compatibility
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Acknowledgements

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