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Oil price uncertainty and the U.S. stock market analysis based on a GARCH-in-mean VAR model

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  • Alsalman, Zeina

Abstract

This paper uses a bivariate GARCH-in-mean VAR model to examine the effect of oil price uncertainty on the U.S. real stock returns at the aggregate and sectoral levels. Estimation results suggest that there is no statistically significant effect of oil price volatility on the U.S. stock returns. The absence of an uncertainty effect might be explained by the fact that companies are likely to hedge against fluctuations in oil prices. It could also stem from the ability of most companies to transfer the higher cost of oil to customers. Moreover, the impulse responses indicate that, accounting for oil price uncertainty, oil price increases and decreases have symmetric effects on the U.S. aggregate stock returns, in that energy price increases and decreases are estimated to have equal and opposite effects on the U.S. financial market. However, this symmetric effect doesn't hold across all the sectors studied in this paper.

Suggested Citation

  • Alsalman, Zeina, 2016. "Oil price uncertainty and the U.S. stock market analysis based on a GARCH-in-mean VAR model," Energy Economics, Elsevier, vol. 59(C), pages 251-260.
  • Handle: RePEc:eee:eneeco:v:59:y:2016:i:c:p:251-260
    DOI: 10.1016/j.eneco.2016.08.015
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    Keywords

    Uncertainty in oil prices; U.S. stock returns; Asymmetric responses;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy

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