Identifying the tradeoff between risk and reward can help you gain a competitive advantage while achieving regulatory compliance. With MATLAB®, you can model financial risk, perform stress testing, and optimize decision-making processes under uncertainty.

Read this white paper and find out how to reduce model risk and improve model governance with MATLAB. Learn more about:

  • The financial risk challenges facing banking, insurance, asset management, and supervisor institutions
  • Increasingly complex regulatory requirements, including IFRS 9, Basel III, and Solvency II
  • How to apply quantitative methods using MATLAB across credit risk, market risk, operational risk, and more

The white paper also includes MATLAB examples and resources specific to financial risk management.

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