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Volatility Relationship between Crude Oil and Petroleum Products

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Author Info
Thomas Lee ()
John Zyren
Abstract

This paper utilizes calculated historical volatility and GARCH models to compare the historical price volatility behavior of crude oil, motor gasoline and heating oil in U.S. markets since 1990. We incorporate a shift variable in the GARCH/TARCH models to capture the response of price volatility to a change in OPEC’s pricing behavior. This study has three major conclusions. First, there was an increase in volatility as a result of a structural shift to higher crude oil prices after April 1999. Second, volatility shocks from current news are not important since GARCH effects dominate ARCH effects in the variance equation. Third, persistence of volatility in all commodity markets is quite transitory, with half-lives normally being a few weeks. Copyright International Atlantic Economic Society 2007

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File URL: http://hdl.handle.net/10.1007/s11293-006-9051-9
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Publisher Info
Article provided by International Atlantic Economic Society in its journal Atlantic Economic Journal.

Volume (Year): 35 (2007)
Issue (Month): 1 (March)
Pages: 97-112
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Handle: RePEc:kap:atlecj:v:35:y:2007:i:1:p:97-112

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Related research
Keywords: oil markets; price volatility; petroleum product; GARCH; asymmetric response; Q40;

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

  1. Kiseok Lee & Shawn Ni & Ronald A. Ratti, 1995. "Oil Shocks and the Macroeconomy: The Role of Price Variability," The Energy Journal, International Association for Energy Economics, vol. 16(4), pages 39-56.
  2. Robert S. Pindyck, 2003. "Volatility In Natural Gas And Oil Markets," Working Papers 0312, Massachusetts Institute of Technology, Center for Energy and Environmental Policy Research. [Downloadable!]
  3. Sadorsky, Perry, 1999. "Oil price shocks and stock market activity," Energy Economics, Elsevier, vol. 21(5), pages 449-469, October. [Downloadable!] (restricted)
  4. Lester Hadsell & Achla Marathe & Hany A. Shawky, 2004. "Estimating the Volatility of Wholesale Electricity Spot Prices in the US," The Energy Journal, International Association for Energy Economics, vol. 25(4), pages 23-40.
  5. Zakoian, Jean-Michel, 1994. "Threshold heteroskedastic models," Journal of Economic Dynamics and Control, Elsevier, vol. 18(5), pages 931-955, September. [Downloadable!] (restricted)
  6. Ser-Huang Poon & Clive W. J. Granger, 2003. "Forecasting Volatility in Financial Markets: A Review," Journal of Economic Literature, American Economic Association, vol. 41(2), pages 478-539, June.
  7. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April. [Downloadable!] (restricted)
  8. Glosten, Lawrence R & Jagannathan, Ravi & Runkle, David E, 1993. " On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks," Journal of Finance, American Finance Association, vol. 48(5), pages 1779-1801, December. [Downloadable!] (restricted)
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  9. Borenstein, Severin & Cameron, A Colin & Gilbert, Richard, 1997. "Do Gasoline Prices Respond Asymmetrically to Crude Oil Price Changes?," The Quarterly Journal of Economics, MIT Press, vol. 112(1), pages 305-39, February.
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  10. Morana, C, 2002. "IGARCH Effects: An Interpretation," Applied Economics Letters, Taylor and Francis Journals, vol. 9(11), pages 745-48, September. [Downloadable!] (restricted)
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Cited by:
(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

  1. Chia-Lin Chang & Michael McAleer & Roengchai Tansuchat, 2009. "Modelling Conditional Correlations for Risk Diversification in Crude Oil Markets," CIRJE F-Series CIRJE-F-640, CIRJE, Faculty of Economics, University of Tokyo. [Downloadable!]
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