Introduction to Computational Finance with MATLAB: A Risk Management Example
Michael Weidman, MathWorks
In this webinar, financial services professionals will learn how to use MATLAB to develop and deploy financial models. This webinar follows the creation of a
value-at-risk application from its inception through data integration, modeling, and finally deployment. The examples shown will demonstrate the functionality of MathWorks products and their support for the entire business process.
Webinar highlights include:
• Integrating market data feeds
• Creating a value-at-risk model
• Deploying the model as an Excel add-in and a Java servlet
This webinar is for practitioners or academics in finance whose focus is quantitative analysis, modeling, risk management, or asset valuation. Familiarity with MATLAB is helpful, but not required.
Webinar highlights include:
• Integrating market data feeds
• Creating a value-at-risk model
• Deploying the model as an Excel add-in and a Java servlet
This webinar is for practitioners or academics in finance whose focus is quantitative analysis, modeling, risk management, or asset valuation. Familiarity with MATLAB is helpful, but not required.
Product Focus
Recorded: 1 Sep 2009
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