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Linking the gas and oil markets with the stock market: Investigating the U.S. relationship

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  • Gatfaoui, Hayette

Abstract

Energy markets can represent a strategic advantage when they are supporting each other, and specifically when energy segments are complementary enough to support economic development and growth. In this light, a high and strategic interest relies on the possible interactions between energy market segments as well as their impact on a given country’s financial market. The proposed research focuses on the interaction between the U.S. natural gas and U.S. crude oil markets on one side and their dependencies with the U.S. stock market on the other side. After controlling for structural changes or breaks, we characterize previous dependencies with the multivariate copula methodology. First, we assess the joint link prevailing between the natural gas and crude oil markets. Then, we characterize the joint risk structure prevailing between previous energy markets and the U.S. stock market. Finally, we assess the joint dependence structure between the natural gas, crude oil and stock markets.

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  • Gatfaoui, Hayette, 2016. "Linking the gas and oil markets with the stock market: Investigating the U.S. relationship," Energy Economics, Elsevier, vol. 53(C), pages 5-16.
    • Handle: RePEc:eee:eneeco:v:53:y:2016:i:c:p:5-16
    DOI: 10.1016/j.eneco.2015.05.021
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    More about this item

    Keywords

    Copula; Dependence structure; Energy commodity; Stock market; Tail risk;
    All these keywords.

    JEL classification:

    • C16 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Econometric and Statistical Methods; Specific Distributions
    • 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
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty

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