  This paper presents a new approach for the optimization of GARCH parameters
estimation. Firstly, we propose a method for the localization of the maximum.
Thereafter, using the methods of least squares, we make a local approximation
for the projection of the likelihood function curve on two dimensional planes
by a polynomial of order two which will be used to calculate an estimation of
the maximum.
