Introduction to R for Risk Managers. We go through loading data into R from Excel, calculate correlation and covariance matrices, eigenvalues and eigenvectors, and perform linear regression and principal component analysis on the data. We also look at a quick example of how to select random numbers from different distributions and perform a Monte Carlo simulation that models the loss distribution for an operational risk event. All in the next 21 minutes.
