Risk modeling is commonly used by financial institutions to detect, assess, control, and monitor risk. Risk professionals use mathematical risk models and statistical methods to determine the impact of risk, accelerate regulatory submission, improve capital allocation, and enable additional risk-based service offerings.
The most influential institutions in the world rely on MATLAB® software developed by MathWorks to streamline the model risk management process, calculate interest rates, carry out stress tests, manage portfolios worth multiple billions of dollars, and execute complex trades in a fraction of a second.
MATLAB enables financial institutions to increase productivity, reduce costs, and comply with regulatory expectations for managing their models.
Stay up to date with the industry's latest trends and learn the best pactices to innovate and optimize your engineering designs.
This blog discusses how machine learning accelerates tasks like modeling and optimization, showcasing real-world applications such as battery testing. Learn how these innovative updates are transforming workflows, increasing accuracy, and driving efficiencies in industrial optimization, paving the way for future advancements in engineering practices.
Explore how combining AI with Model-Based Design (MBD) in MATLAB & Simulink enhances system accuracy, optimizes control strategies, and accelerates innovation in engineering.
Explore how MATLAB and Simulink enable electrical engineers to design, simulate, and optimize advanced systems efficiently, ensuring reliability and innovation.
