A Practical Guide: Modeling Financial Risk with MATLAB

For financial institutions, risk modeling is common practice to identify, assess, control, and monitor risk. Mathematical risk models and statistical methods applied in MATLAB ® (e.g., regression, Monte Carlo simulation, and copulas) are used by risk professionals to quantify the impact of risk, optimize capital allocation, accelerate regulatory submission, and enable more risk-based service offerings.

This ebook is a practical guide to modeling financial risk with MATLAB and provides access to applied examples, documentation, and user stories. Learn more about:

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