[UDEMY] [100% OFF] Financial Risk Management in Python, R and Excel, $50

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Financial Risk Management in Python, R and Excel

Value-at-Risk and factor-based models in Python, R and Excel/VBA

Includes:
4 hours on-demand video
1 Article
27 Supplemental Resources

What Will I Learn?

• Design robust risk models using covariance matrices, Value-at-Risk and factor analysis
  
• Implement these robust factor-based models in Excel, Python and R
  
• Create realistic scenarios for stress-testing risk
  
• Contrast covariance-matrices, scenario-based and factor-based risk models
  
• Understand the strengths and weaknesses of value-at-risk
  

Description
A financial portfolio is almost always modeled as the sum of correlated random variables. Measuring the risk of this portfolio accurately is important for all kinds of applications: the financial crisis of 2007, the failure of the famous hedge fund LTCM and many other mishaps are attributable to poor risk modeling.

In this course, we cover the theory and practice of robust risk modeling:

• Model risk using covariance matrices and historical returns
  
  
• Refine this approach using factor models for dimensionality reduction and robustness
  
  
• Generate realistic stress-test scenarios using these factor model
  
  
• Calculate Value-at-Risk and understand the implications, strengths and weaknesses of this approach
  
  
• Implement all of this in Python, Excel and R
  

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