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 a logistic function for the correlation coefficient. Check the adequacy of the fitted model, and obtain 1-step ahead forecast of the covariance matrix at the forecast origin December 1999.