For financial institutions, risk modeling is common practice to identify, assess, control, and monitor risk. Mathematical risk models and statistical methods applied in MATLAB®（例如，回归，蒙特卡罗模拟和金属款）被风险专业人员使用风险，以量化风险，优化资本分配，加速监管提交的影响，并实现基于风险的服务。
本电子书a practical guide to modeling financial risk with MATLAB and provides access to applied examples, documentation, and user stories. Learn more about:
- Matlab中的金融风险模型的类型，包括信用风险，市场风险，运营风险，全身风险，流动性风险，集中风险，资本风险，风险的价值
- How to improve your product offerings through automated risk-integrated service improvements
- How you can adapt risk models in MATLAB to conform to new regulations and address new types of risk factors, reducing project time
- MATLAB的数学建模与统计方法的现实世界应用
