For financial institutions, risk modeling is common practice to identify, assess, control, and monitor risk. Mathematical risk models and statistical methods applied in MATLAB®(e.g., regression, Monte Carlo simulation, and copulas) are used by risk professionals to quantify the impact of risk, optimize capital allocation, accelerate regulatory submission, and enable more risk-based service offerings.

该电子书是通过MATLAB对财务风险进行建模的实用指南，并提供对应用示例，文档和用户故事的访问权限。学习更多关于：

  • Types of financial risk models in MATLAB, including credit risk, market risk, operational risk, systemic risk, liquidity risk, concentration risk, capital risk, and value at risk
  • 如何通过自动风险集成服务改进来改善产品产品
  • How you can adapt risk models in MATLAB to conform to new regulations and address new types of risk factors, reducing project time
  • 使用MATLAB的数学建模和统计方法的现实应用

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