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Evaluating The Short Run Effects Of U.S. Crude Oil Inventory Levels On Wti Crude Oil Price From 1993 - 2013

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  • Tobi Olasojiand

    (Nigeria Infrastructure Advisory Facility, Nigeria)

  • Elijah Acquah-Andoh

    (Coventry University, UK)

Abstract

The focus of this research was to investigate the short-term influence of U.S. crude oil inventories on WTI crude oil prices from 1993 to 2013. This study is important for policy makers who wish to reduce the persistent and growing price volatility of crude oil and its related products as well as businesses such as airline companies who wish to make annual budgetary sales decisions. Using OLS multiple regression, cointegration, VECM and Ex-post forecast techniques; we provide evidence of an inelastic relationship in which a 1% increase in U.S. crude oil inventories is associated with 0.46% decrease in WTI crude oil prices; however this was only valid for 22% of WTI crude oil price variation. We also find that past data on U.S. crude oil inventories could be used to predict future WTI crude oil prices movement. Contrary to literature, the results of the VECM analysis indicate there is no short-run relationship between both variables over the trajectory.

Suggested Citation

  • Tobi Olasojiand & Elijah Acquah-Andoh, 2016. "Evaluating The Short Run Effects Of U.S. Crude Oil Inventory Levels On Wti Crude Oil Price From 1993 - 2013," Eurasian Journal of Economics and Finance, Eurasian Publications, vol. 4(3), pages 64-84.
    • Handle: RePEc:ejn:ejefjr:v:4:y:2016:i:3:p:64-84
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    References listed on IDEAS

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    1. Cashin, Paul & Mohaddes, Kamiar & Raissi, Maziar & Raissi, Mehdi, 2014. "The differential effects of oil demand and supply shocks on the global economy," Energy Economics, Elsevier, vol. 44(C), pages 113-134.
    2. Ye, Michael & Zyren, John & Shore, Joanne, 2005. "A monthly crude oil spot price forecasting model using relative inventories," International Journal of Forecasting, Elsevier, vol. 21(3), pages 491-501.
    3. 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.
    4. Schmidbauer, Harald & Rösch, Angi, 2012. "OPEC news announcements: Effects on oil price expectation and volatility," Energy Economics, Elsevier, vol. 34(5), pages 1656-1663.
    5. Güntner, Jochen H.F., 2014. "How do oil producers respond to oil demand shocks?," Energy Economics, Elsevier, vol. 44(C), pages 1-13.
    6. Fattouh, Bassam, 2010. "The dynamics of crude oil price differentials," Energy Economics, Elsevier, vol. 32(2), pages 334-342, March.
    7. Huang, Bwo-Nung & Hwang, M.J. & Yang, C.W., 2008. "Causal relationship between energy consumption and GDP growth revisited: A dynamic panel data approach," Ecological Economics, Elsevier, vol. 67(1), pages 41-54, August.
    8. Shackle,G. L. S., 2012. "Expectation in Economics," Cambridge Books, Cambridge University Press, number 9781107629141, September.
    9. Christopher R. Knittel & Robert S. Pindyck, 2016. "The Simple Economics of Commodity Price Speculation," American Economic Journal: Macroeconomics, American Economic Association, vol. 8(2), pages 85-110, April.
    10. Rentschler, Jun E., 2013. "Oil price volatility, economic growth and the hedging role of renewable energy," Policy Research Working Paper Series 6603, The World Bank.
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    Cited by:

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    3. Zhao, Jing, 2022. "Exploring the influence of the main factors on the crude oil price volatility: An analysis based on GARCH-MIDAS model with Lasso approach," Resources Policy, Elsevier, vol. 79(C).

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