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On the origins of high persistence in GARCH-models (2009)

Abstract
The estimated persistence in various types of GARCH-models is known to be too large when the parameters of the model undergo structural changes somewhere in the sample. The present paper adds further insights into this phenomenon for the Baillie and Chung (2001) minimum distance estimates of the model parameters. While previous research has focused on the effects of changes in the GARCH-parameters, we investigate here the consequences of a changing mean.

Publication details
Download http://hdl.handle.net/2003/26486
Repository Universität Dortmund - Eldorado (Germany)
Keywords minimum distance estimates, structural change, long memory, GARCH, 310, 330, 620
Type Text, report
Language English
Relation Discussion Papers; 12/2009