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GARCH modeling of five popular commodities

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  • Saralees Nadarajah
  • Emmanuel Afuecheta
  • Stephen Chan

Abstract

Flexible models for the innovation process of GARCH models have been limited. Here, we show the flexibility of two recently proposed distributions due to Zhu and Zinde-Walsh (J Econom 148:86–99, 2009 ) and Zhu and Galbraith (J Econom 157:297–305, 2010 ) by means of GARCH modeling of five popular commodities. The five commodities considered are Cocoa bean, Brent crude oil, West Texas intermediate crude oil, Gold and Silver. For each commodity, one of the two models due to Zhu and Zinde-Walsh ( 2009 ) and Zhu and Galbraith ( 2010 ) is shown to perform better than those commonly known. Copyright Springer-Verlag Berlin Heidelberg 2015

Suggested Citation

  • Saralees Nadarajah & Emmanuel Afuecheta & Stephen Chan, 2015. "GARCH modeling of five popular commodities," Empirical Economics, Springer, vol. 48(4), pages 1691-1712, June.
    • Handle: RePEc:spr:empeco:v:48:y:2015:i:4:p:1691-1712
    DOI: 10.1007/s00181-014-0845-3
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    5. Salisu, Afees A. & Gupta, Rangan & Bouri, Elie & Ji, Qiang, 2020. "The role of global economic conditions in forecasting gold market volatility: Evidence from a GARCH-MIDAS approach," Research in International Business and Finance, Elsevier, vol. 54(C).

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