Structurally-induced Volatility Clustering

Clive W. J. Granger, University of California, San Diego
Mark J. Machina, University of California, San Diego

UCSD Economics Discussion Paper 2002-15
September 2002

Abstract

Many standard structural models in economics have the property that they induce persistent, partially predictable heteroskedasticity ("volatility clustering") in their key dependent variables, even when their underlying stochastic shock variables are all serially independent and homoskedastic, and their structural parameters are all time-invariant. This paper presents examples of this phenomenon, and examines the nature of such induced volatility clustering.


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