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

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  • Troug, Haytem Ahmed
  • Sbia, Rashid

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 market are involved in the disruption of oil production in some OPEC 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 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

  • Troug, Haytem Ahmed & Sbia, Rashid, 2015. "Testing for the Presence of Asymmetric Information in the Oil Market: A VAR Approach," MPRA Paper 64933, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:64933
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    File URL: https://mpra.ub.uni-muenchen.de/64933/1/MPRA_paper_64933.pdf
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    References listed on IDEAS

    as
    1. M. F. M. Osborne, 1959. "Brownian Motion in the Stock Market," Operations Research, INFORMS, vol. 7(2), pages 145-173, April.
    2. Morse, Dale, 1980. "Asymmetrical Information in Securities Markets and Trading Volume," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 15(5), pages 1129-1148, December.
    3. Karpoff, Jonathan M., 1987. "The Relation between Price Changes and Trading Volume: A Survey," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 22(1), pages 109-126, March.
    4. Michael S. Rashes, 2001. "Massively Confused Investors Making Conspicuously Ignorant Choices (MCI–MCIC)," Journal of Finance, American Finance Association, vol. 56(5), pages 1911-1927, October.
    5. Lamoureux, Christopher G & Lastrapes, William D, 1990. "Heteroskedasticity in Stock Return Data: Volume versus GARCH Effects," Journal of Finance, American Finance Association, vol. 45(1), pages 221-229, March.
    6. Jonathan M. Karpoff, 1988. "Costly Short Sales And The Correlation Of Returns With Volume," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 11(3), pages 173-188, September.
    7. Copeland, Thomas E, 1976. "A Model of Asset Trading under the Assumption of Sequential Information Arrival," Journal of Finance, American Finance Association, vol. 31(4), pages 1149-1168, September.
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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

    stock Exchange market; OPEC countries; NYSE; Asymmetric Information; Oil Market;
    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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