Graduate Financial Data Modeling

The Graduate Financial Data Modeling contest engages students in financial data modeling as they solve problems and perform experiments.

MATLAB provides various kinds of financial models, such as asset allocation, risk management, financial derivatives pricing, and so on. Using MATLAB helps your team model financial problems and validate financial calculation as quickly as possible. MATLAB also provides machine learning algorithms that can make your financial modeling more intelligent and accurate.

MathWorks is honored to sponsor Graduate Financial Data Modeling, with complimentary software for all teams participating, and has set up MATLAB awards for winning teams.

Complimentary Software

MathWorks provides complimentary software for this competition. If your team is participating in this competition and needs software, fill out the software request form.

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Student Tutorials and Videos

Learn how to use MATLAB and Simulink to design algorithms, create simulations, deploy code, and speed up software development for your projects.

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Competition Resources

Videos

Getting Started with Portfolio Optimization (4:12)

Backtesting Trading Strategies in Just 8 Lines of Code (4:13)

Machine Learning for Algorithmic Trading (32:55)

Apply AI for Finance with Apps in MATLAB (30:35)

MATLAB Application in Credit Risk Modeling - Workflow of Building Score Card (1:00:35)

Calculation and Back-Testing of VaR Values Based on MATLAB (32:23)

General Resources

MATLAB for Quantitative Finance and Risk Management

Financial Toolbox

Econometrics Toolbox

Financial Toolbox — Functions

Econometrics Toolbox — Functions

Computational Finance

Video Tutorials for Your Team

Interactive Online Tutorials

Learn by doing! Our two-hour online courses provide a hands-on learning environment where you will interact with a web-based version of MATLAB and receive instant and contextual feedback.

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