OLS regression with GARCH residuals
Posted: Mon Mar 31, 2014 9:02 am
Hello.
I'm modelling the risk premium in the Nordic electricity market using weekly contracts. I have chosen to do an OLS regression. In my literature study, I read an article which did a similar regression. Although, due to extreme spikes the model explains very little of the variance. They developed two models; 1) A regular OLS model with robuste std.errors and 2) A OLS with GARCH residuals (at least that's how I interpreted it), robuste std error here as well. . The coefficients from the two regression were very similar, but the t-stats are different making other variables significant.
Could someone please explain to me how they are doing it? The paper said they used GRETL, but I was hoping Eviews could do it as well, maybe in combination with Excel.
I appreciate all help.
I'm modelling the risk premium in the Nordic electricity market using weekly contracts. I have chosen to do an OLS regression. In my literature study, I read an article which did a similar regression. Although, due to extreme spikes the model explains very little of the variance. They developed two models; 1) A regular OLS model with robuste std.errors and 2) A OLS with GARCH residuals (at least that's how I interpreted it), robuste std error here as well. . The coefficients from the two regression were very similar, but the t-stats are different making other variables significant.
Could someone please explain to me how they are doing it? The paper said they used GRETL, but I was hoping Eviews could do it as well, maybe in combination with Excel.
I appreciate all help.