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Oil shocks and stock markets revisited: Measuring connectedness from a global perspective

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  • Zhang, Dayong

Abstract

This paper contributes to the large volume of empirical studies on the relationship between oil shocks and stock markets from a new systemic perspective. The method of measuring connectedness proposed by Diebold and Yilmaz (2009, 2012, 2014) is adopted to study the relationship between oil shocks and returns at six major stock markets around the world. It is shown that the contribution of oil shocks to the world financial system is limited. Oil price changes, however, can be explained by information on the financial system. Furthermore, a rolling windows analysis finds that oil shocks can occasionally contribute significantly to stock markets, and it is also proved that only large shocks matter.

Suggested Citation

  • Zhang, Dayong, 2017. "Oil shocks and stock markets revisited: Measuring connectedness from a global perspective," Energy Economics, Elsevier, vol. 62(C), pages 323-333.
    • Handle: RePEc:eee:eneeco:v:62:y:2017:i:c:p:323-333
    DOI: 10.1016/j.eneco.2017.01.009
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    References listed on IDEAS

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    1. David C Broadstock & Rui Wang & Dayong Zhang, 2014. "The direct and indirect effects of oil shocks on energy related stocks," Surrey Energy Economics Centre (SEEC), School of Economics Discussion Papers (SEEDS) 146, Surrey Energy Economics Centre (SEEC), School of Economics, University of Surrey.
    2. Abhay Abhyankar, Bing Xu, and Jiayue Wang, 2013. "Oil Price Shocks and the Stock Market: Evidence from Japan," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2).
    3. Kang, Wensheng & Ratti, Ronald A. & Vespignani, Joaquin, 2016. "The impact of oil price shocks on the U.S. stock market: A note on the roles of U.S. and non-U.S. oil production," Economics Letters, Elsevier, vol. 145(C), pages 176-181.
    4. Filis, George & Degiannakis, Stavros & Floros, Christos, 2011. "Dynamic correlation between stock market and oil prices: The case of oil-importing and oil-exporting countries," International Review of Financial Analysis, Elsevier, vol. 20(3), pages 152-164, June.
    5. Francis X. Diebold & Kamil Yilmaz, 2009. "Measuring Financial Asset Return and Volatility Spillovers, with Application to Global Equity Markets," Economic Journal, Royal Economic Society, vol. 119(534), pages 158-171, January.
    6. David C. Broadstock & Ying Fan & Qiang Ji & Dayong Zhang, 2016. "Shocks and Stocks: A Bottom-up Assessment of the Relationship Between Oil Prices, Gasoline Prices and the Returns of Chinese Firms," The Energy Journal, , vol. 37(1_suppl), pages 55-86, January.
    7. Edouard Jaeck & Delphine Lautier, 2016. "Volatility in electricity derivative markets: the Samuelson effect revisited," Post-Print hal-01488127, HAL.
    8. Diebold, Francis X. & Yilmaz, Kamil, 2012. "Better to give than to receive: Predictive directional measurement of volatility spillovers," International Journal of Forecasting, Elsevier, vol. 28(1), pages 57-66.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Connectedness; Granger causality; Oil shocks; Stock markets; Variance decomposition;
    All these keywords.

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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