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The causality relationship between energy prices and developed countries indices

Author

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  • Yakup Soylemez

    (Devrek Vocational School, Zonguldak Bulent Ecevit University, 67800, Zonguldak, Turkey)

Abstract

The aim of this study is to determine the causality relationship between energy prices, which are among the most important inputs of the economy, and selected stock market indices of developed countries. Crude oil and natural gas are used as energy variables. G7 countries were selected to represent developed countries. Stock indices used in the study are Dow & Jones (USA), DAX (Germany), CAC40 (France), FTSE250 (England), FTSE Italia All Share (Italy), NIKKEI225 (Japan), and S&P/TSX (Canada). In the study, Johansen (1988) cointegration test and Granger (1969) causality test were used to analyse the causality relationship between energy prices and selected stock market indices. The research could not find a long-term balance relationship between energy prices and developed country indices. Also, while the causality relationship was determined between crude oil prices and NIKKEI225, DAX, and CAC40 indices, a causal relationship between natural gas prices and Dow & Jones and FTSE250 indices was determined. In the study, it was found that energy prices can be used for diversification in investments to be made with stock market indices of developed countries. This study is one of the most comprehensive studies in the literature that examines the relationship between energy prices and the stock market indices of G7 countries. It is expected to contribute to the literature in this way.

Suggested Citation

  • Yakup Soylemez, 2021. "The causality relationship between energy prices and developed countries indices," Bussecon Review of Social Sciences (2687-2285), Bussecon International Academy, vol. 3(2), pages 24-40, April.
  • Handle: RePEc:adi:bsrsss:v:3:y:2021:i:2:p:24-40
    DOI: 10.36096/brss.v3i2.292
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    References listed on IDEAS

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    1. Thai-Ha LE & Youngho CHANG, 2011. "Oil and Gold Prices: Correlation or Causation?," Economic Growth Centre Working Paper Series 1102, Nanyang Technological University, School of Social Sciences, Economic Growth Centre.
    2. Brooks,Chris, 2008. "RATS Handbook to Accompany Introductory Econometrics for Finance," Cambridge Books, Cambridge University Press, number 9780521896955.
    3. Diaz, Elena Maria & Molero, Juan Carlos & Perez de Gracia, Fernando, 2016. "Oil price volatility and stock returns in the G7 economies," Energy Economics, Elsevier, vol. 54(C), pages 417-430.
    4. Thai-Ha Le & Youngho Chang, 2011. "Oil and gold: correlation or causation?," Economics Bulletin, AccessEcon, vol. 31(3), pages 1-31.
    5. Omar Masood & Manuela Tvaronavičienė & Kiran Javaria, 2019. "Impact of oil prices on stock return: evidence from G7 countries," Post-Print hal-02163013, HAL.
    6. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
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