Investigation of GARCH Models for the Estimation Power and Normality
The aims of the thesis are to investigate the estimation power and the normality of standardized residuals for Generalized autoregressive conditional heteroscedasticity models (GARCH). We facilitate the analysis by only dealing with GARCH(1, 1) models. We take use of MATLAB as the statistical programming tool for the simulation of the data and the estimation. We define the meaning of estimation