Wake me up before you GO-GARCH

Open Access
Authors
Publication date 2006
Series UvA Econometrics discussion paper, 2006/03
Number of pages 27
Publisher Amsterdam: Universiteit van Amsterdam
Organisations
  • Faculty of Economics and Business (FEB) - Amsterdam School of Economics Research Institute (ASE-RI)
Abstract In this paper we present a new three-step approach to the estimation of Generalized Orthogonal GARCH (GO-GARCH)models, as proposed by van der Weide (2002). The approach only requires (non-linear) least-squares methods in combination with univariate GARCH estimation, and as such is computationally attractive, especially in larger-dimensional systems, where a full likelihood optimization is often infeasible. The effectiveness of the method is investigated using Monte Carlo simulations as well as a number of empirical applications.
Document type Working paper
Published at http://www1.feb.uva.nl/pp/bin/381fulltext.pdf
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