MathWorks Introduces Risk Management Toolbox

Provides functions and apps in MATLAB to help risk managers accurately quantify credit and market risk exposures

The Binning Explorer app, which includes automatic binning of algorithms, manual bin adjustment (merge and split), and bin information calculation. (Photo: Business Wire)

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NATICK, Mass.--()--MathWorks today announced Risk Management Toolbox, which offers risk managers a set of functions and apps in MATLAB to develop and validate risk models and perform risk simulation. By supporting the development of models and helping to simulate scenarios, Risk Management Toolbox allows for accurate assessment of risk factors when performing credit and market risk analysis, modeling, and simulation.

Financial, quant, and risk professionals can now model probabilities of default, create credit scorecards, perform credit portfolio analysis, and backtest models to assess potential for financial loss. Risk Management Toolbox offers an open and customizable platform for mathematical modeling, visualization, and integrated risk analysis, modeling, and simulation across risk domains, helping to assess corporate and consumer credit risk, as well as market risk models. The toolbox runs within MATLAB, which provides an environment for mathematical exploration with royalty-free options for production deployment.

Key features of the toolbox include a Binning Explorer app for automatic and manual binning for credit scorecards, credit portfolio simulation tools to analyze credit portfolio risk, and backtesting tools for value-at-risk (VaR) models. Risk Management Toolbox, when combined with additional MATLAB products, provides a scalable solution that meets research and production applications needs across varied projects and timeframes, and offers interactive customized apps and detailed reports.

“In today's rapidly changing and volatile markets, risk modeling, validation, and stress testing are integral to financial services firms. Success depends on the accuracy of the models used and the velocity at which these organizations can innovate, while maintaining low risk exposure,” says Stuart Kozola, computational finance product manager, MathWorks. “With Risk Management Toolbox, these companies can now speed creation, validation, and performance of what-if scenarios on credit and market models to satisfy regulatory and compliance needs, and to navigate market movements.”

To learn more about Risk Management Toolbox, please visit
mathworks.com/products/risk-management

About MathWorks
MathWorks is the leading developer of mathematical computing software. MATLAB, the language of technical computing, is a programming environment for algorithm development, data analysis, visualization, and numeric computation. Simulink is a graphical environment for simulation and Model-Based Design for multidomain dynamic and embedded systems. Engineers and scientists worldwide rely on these product families to accelerate the pace of discovery, innovation, and development in automotive, aerospace, electronics, financial services, biotech-pharmaceutical, and other industries. MATLAB and Simulink are also fundamental teaching and research tools in the world's universities and learning institutions. Founded in 1984, MathWorks employs more than 3500 people in 15 countries, with headquarters in Natick, Massachusetts, USA. For additional information, visit mathworks.com.

MATLAB and Simulink are registered trademarks of The MathWorks, Inc. See mathworks.com/trademarks for a list of additional trademarks. Other product or brand names may be trademarks or registered trademarks of their respective holders.

Contacts

MathWorks
Len Dieterle, 508-647-4404
Len.Dieterle@mathworks.com

Release Summary

Financial, quant, and risk professionals can now model probabilities of default, create credit scorecards, perform credit portfolio analysis, and backtest models to assess potential for financial loss

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Contacts

MathWorks
Len Dieterle, 508-647-4404
Len.Dieterle@mathworks.com