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Conditional Dependence in Precious Metal Prices

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Author Info
Akgiray, Vedat, et al
Abstract

This study investigates the time-series properties of gold and silver spot prices. Both precious metal price series are found to exhibit time dependence and pronounced generalized autoregressive conditional heteroscedastic (GARCH) effects. Splitting the data into similar economic subperiods provides superior explanation of these effects because of the observed long-run nonconstancy of the unconditional variance. Further, the power exponential distribution, as opposed to the Student-t, is found to portray accurately the thick-tailed conditional variance that remains after the GARCH effects are removed. These findings imply that constant variance pricing models are inappropriate for securities that are based on precious metal prices. Coauthors are G. Geoffrey Booth, John J. Hatem, and Chowdhury Mustafa. Copyright 1991 by MIT Press.

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Publisher Info
Article provided by Eastern Finance Association in its journal The Financial Review.

Volume (Year): 26 (1991)
Issue (Month): 3 (August)
Pages: 367-86
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Handle: RePEc:bla:finrev:v:26:y:1991:i:3:p:367-86

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  1. Jean-Thomas Bernard & Lynda Khalaf & Maral Kichian & Sebastien McMahon, 2006. "Forecasting Commodity Prices: GARCH, Jumps, and Mean Reversion," Working Papers 06-14, Bank of Canada. [Downloadable!]
  2. Alvaro Escribano & Clive W.J. Granger, 1996. "Investigating the Relationship between Gold and Silver Prices," University of California at San Diego, Economics Working Paper Series 96-38, Department of Economics, UC San Diego. [Downloadable!]
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This page was last updated on 2009-12-18.


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