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.