Focus on the monthly log returns in percentages of GE stock and the S&P 500 index.
Build a time-varying correlation GARCH model for the bivariate series using the Cholesky decomposition.
Check the adequacy of the fitted model, and obtain the 1-step ahead forecast of the covariance matrix at the forecast origin December 1999.
Compare the model with the other two models built in the previous exercises.