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Testing for the Presence of Asymmetric Information in the Oil Market: A Vector Autoregression Approach

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  • Haytem Ahmed Troug

    (Department of Economics, University of Exeter, Exeter, UK,)

  • Rashid Sbia

    (DULBEA, Solvay Business and Economics School, Ministry of Finance, UAE)

Abstract

This paper aims at providing empirical support to claims made by officials in oil-producing countries that investors in the New York Stock Exchange (NYSE) market are involved in the disruption of oil production in some Organization of the Petroleum Exporting Countries countries. The claims state that some investors in the NYSE are financing militias in those countries to close down oilfields and ports, and buy oil before this incident occurs. By doing so, they have access to information that no one else in the market has, and make profits from this information. Using a vector autoregression (VAR) model approach to detect this phenomenon, and being inspired by the asymmetric information theory, we fail to support those claims. We tried to put this theory under investigation by running test on three oil-disruption incidents that occurred in 2013, and all of the results turned out to be insignificant. Nevertheless, this approach was able to detect a period which might involve asymmetric information in the NYSE. In addition, using a VAR model enabled us to measure the duration and magnitude of the effect of a shock in volumes of trade on oil prices in that market.

Suggested Citation

  • Haytem Ahmed Troug & Rashid Sbia, 2015. "Testing for the Presence of Asymmetric Information in the Oil Market: A Vector Autoregression Approach," International Journal of Economics and Financial Issues, Econjournals, vol. 5(3), pages 753-762.
    • Handle: RePEc:eco:journ1:2015-03-15
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    Cited by:

    1. Troug, Haytem & Murray, Matt, 2015. "The Effects of Asymmetric Shocks in Oil Prices on the Performance of the Libyan Economy," MPRA Paper 68705, University Library of Munich, Germany.

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    More about this item

    Keywords

    Asymmetry of Information; Stock Market; Oil Market; Organization of the Petroleum Exporting Countries; New York Stock Exchange;
    All these keywords.

    JEL classification:

    • C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • G02 - Financial Economics - - General - - - Behavioral Finance: Underlying Principles
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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