Hull, Chapter 11: Correlation and Copulas is a 26 minute instructional video analyzing the following concepts:

* Define correlation and covariance, and differentiate between correlation and dependence.

* Calculate covariance based using the EWMA and GARCH (1,1) models.

* Apply the consistency condition to covariance.

* Describe the procedure of generating samples from a bivariate normal distribution.

* Describe the properties of correlations between normally distributed variables when using a one-factor model.

* Define copula, describe the key properties of copula and copula correlation.

* Explain one tail dependence.

* Describe Gaussian copula, Student t-copula, multivariate copula and one factor copula.