MATLAB® helps financial organizations develop quality-assured, transparent, documented, and replicable risk and stress testing models in days, not years. MATLAB offers agility amidst rapidly changing regulatory and business environments.
With MATLAB, risk analysts and managers work with developers, integrators, stakeholders, and CROs to blend, scale, and customize research. You can incorporate “risk-aware” developer best practices when implementing model control and automation, reducing model and operational risk.
Using MATLAB, a single risk model stack can service multiple compliance regimes and front and middle office functions. On a smaller scale, you can customize, control, and automate market, credit, economic capital, and systemic risk models. You can operate alongside or validate existing vendor models, home-grown code, and spreadsheets.
MATLAB is used across industries for research and modeling. Banks, asset managers, supervisors, and insurers use MATLAB in:
Building Models. Mathematicians, quants, data scientists, and others use MATLAB to perform risk calculations that are faster than spreadsheets. They create models more quickly than in C++, with greater transparency and customization than black box products, and with greater quality and consistency than open source applications.
Pre-built, tested functions facilitate:
"[MATLAB] is not as complex to code as C++. It is not as restrictive in terms of applications as Excel.... For communicating the idea — selling the idea — MATLAB has helped a lot.... I can create visuals very quickly."Attilio Meucci, SYMMYS
Application developers at financial institutions find that MATLAB makes it easier to incorporate new and updated models directly into professional risk applications. It is easier for IT teams to maintain and troubleshoot components. They can:
MATLAB helps risk teams easily incorporate their models and analytics into development projects by providing capabilities such as Object-Oriented Programming and the ability to package and share applications.
MATLAB enables risk professionals and integrators to share a risk analytic or model from a single risk analytics stack through extensible interfaces that include connections to C++, Java, .NET, Python, SQL, and web services. Risk teams share, control, and manage the use of their models as a standalone or spreadsheet application; as an automatically generated professional watermarked report embedded in the risk production stack; or as a component of a web application, database, visualization application, or third-party risk system.