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Measuring oil price volatility

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  • Kuper, Gerard H.

    (Groningen University)

Abstract

In this paper we try to measure oil price uncertainty. The measure of uncertainty is based on the conditional standard deviations which are derived from univariate (G)ARCH models. The measure of uncertainty we choose is the within-year high-low range of the conditional standard deviations. It is likely that the higher the uncertainty, the higher the high-low range within a year will be. We focus on volatility of the price of a barrel Brent crude, over the period 5 January, 1982 to 23 April, 2002 representing 5296 observations. The preferred model is a symmetric GARCH(1,3) model. Asymmetric leverage effects are not found. We also examine the volatility in monthly time series for the period January, 1970 to April, 2002. For this time span and frequency we prefer the GARCH(1,1) model.

Suggested Citation

  • Kuper, Gerard H., 2002. "Measuring oil price volatility," CCSO Working Papers 200208, University of Groningen, CCSO Centre for Economic Research.
    • Handle: RePEc:gro:rugccs:200208
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    File URL: http://irs.ub.rug.nl/ppn/241198380
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    Cited by:

    1. Chevillon, Guillaume & Rifflart, Christine, 2009. "Physical market determinants of the price of crude oil and the market premium," Energy Economics, Elsevier, vol. 31(4), pages 537-549, July.
    2. Neville Francis & Sergio Restrepo-Angel, 2018. "Sectoral and aggregate response to oil price shocks in the Colombian economy: SVAR and Local Projections approach," Borradores de Economia 1055, Banco de la Republica de Colombia.
    3. Arturo Lorenzo Valdés & Rocío Durán Vázquez & Leticia Armenta Fraire, 2012. "Conditional Correlation Between Oil and Stock Market Returns: The Case of Mexico," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 7(1), pages 49-63, Enero-Jun.
    4. Khalifa, Ahmed & Caporin, Massimiliano & Hammoudeh, Shawkat, 2015. "Spillovers between energy and FX markets: The importance of asymmetry, uncertainty and business cycle," Energy Policy, Elsevier, vol. 87(C), pages 72-82.
    5. Arturo Lorenzo Valdés & Rocío Durán Vázquez & Leticia Armenta Fraire, 2012. "Conditional Correlation Between Oil and Stock Market Returns: The Case of Mexico," Remef - The Mexican Journal of Economics and Finance, Instituto Mexicano de Ejecutivos de Finanzas. Remef, October.
    6. Haryo Kuncoro, 2011. "The volatility of world crude oil prices," Economic Journal of Emerging Markets, Universitas Islam Indonesia, vol. 3(1), pages 1-15, April.
    7. Huang, Dashan & Yu, Baimin & Fabozzi, Frank J. & Fukushima, Masao, 2009. "CAViaR-based forecast for oil price risk," Energy Economics, Elsevier, vol. 31(4), pages 511-518, July.
    8. Ali Ahmed, Huson Joher & Wadud, I.K.M. Mokhtarul, 2011. "Role of oil price shocks on macroeconomic activities: An SVAR approach to the Malaysian economy and monetary responses," Energy Policy, Elsevier, vol. 39(12), pages 8062-8069.

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