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Structurally-Induced Volatility Clustering

Author

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  • Machina, Mark J
  • Granger, Clive W.J.

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.

Suggested Citation

  • Machina, Mark J & Granger, Clive W.J., 2002. "Structurally-Induced Volatility Clustering," University of California at San Diego, Economics Working Paper Series qt13k994d2, Department of Economics, UC San Diego.
    • Handle: RePEc:cdl:ucsdec:qt13k994d2
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    Cited by:

    1. Boulis Ibrahim & Janusz Brzeszczynski, 2013. "Interdependence of Stock Markets Before and After the Global Financial Crisis of 2007," CFI Discussion Papers 1305, Centre for Finance and Investment, Heriot Watt University.

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