IDEAS home Printed from https://ideas.repec.org/a/adi/bsrsss/v3y2021i2p24-40.html
   My bibliography  Save this article

The causality relationship between energy prices and developed countries indices

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://doi.org/10.36096/brss.v3i2.292
    Download Restriction: no

    File URL: http://www.bussecon.com/ojs/index.php/brss/article/view/292/129
    Download Restriction: no

    File URL: https://libkey.io/10.36096/brss.v3i2.292?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    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, November.
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Kanjilal, Kakali & Ghosh, Sajal, 2017. "Dynamics of crude oil and gold price post 2008 global financial crisis – New evidence from threshold vector error-correction model," Resources Policy, Elsevier, vol. 52(C), pages 358-365.
    2. Das, Debojyoti & Bhatia, Vaneet & Kumar, Surya Bhushan & Basu, Sankarshan, 2022. "Do precious metals hedge crude oil volatility jumps?," International Review of Financial Analysis, Elsevier, vol. 83(C).
    3. Kyritsis, Evangelos & Serletis, Apostolos, 2018. "The zero lower bound and market spillovers: Evidence from the G7 and Norway," Research in International Business and Finance, Elsevier, vol. 44(C), pages 100-123.
    4. Elbakry, Ashraf E. & Nwachukwu, Jacinta C. & Abdou, Hussein A. & Elshandidy, Tamer, 2017. "Comparative evidence on the value relevance of IFRS-based accounting information in Germany and the UK," Journal of International Accounting, Auditing and Taxation, Elsevier, vol. 28(C), pages 10-30.
    5. Apostolakis, George N. & Floros, Christos & Gkillas, Konstantinos & Wohar, Mark, 2024. "Volatility spillovers across the spot and futures oil markets after news announcements," The North American Journal of Economics and Finance, Elsevier, vol. 69(PA).
    6. Shahbaz, Muhammad & Balcilar, Mehmet & Abidin Ozdemir, Zeynel, 2017. "Does oil predict gold? A nonparametric causality-in-quantiles approach," Resources Policy, Elsevier, vol. 52(C), pages 257-265.
    7. Štěpán Chrz & Karel Janda & Ladislav Krištoufek, 2014. "Modelování provázanosti trhů potravin, biopaliv a fosilních paliv [Modeling Interconnections within Food, Biofuel, and Fossil Fuel Markets]," Politická ekonomie, Prague University of Economics and Business, vol. 2014(1), pages 117-140.
    8. Rehman, Mobeen Ur & Owusu Junior, Peterson & Ahmad, Nasir & Vo, Xuan Vinh, 2022. "Time-varying risk analysis for commodity futures," Resources Policy, Elsevier, vol. 78(C).
    9. Tiwari, Aviral Kumar & Sahadudheen, I., 2015. "Understanding the nexus between oil and gold," Resources Policy, Elsevier, vol. 46(P2), pages 85-91.
    10. Turhan, M. Ibrahim & Sensoy, Ahmet & Ozturk, Kevser & Hacihasanoglu, Erk, 2014. "A view to the long-run dynamic relationship between crude oil and the major asset classes," International Review of Economics & Finance, Elsevier, vol. 33(C), pages 286-299.
    11. Tarek Tawfik Yousef Alkhateeb & Haider Mahmood, 2020. "Oil Price and Energy Depletion Nexus in GCC Countries: Asymmetry Analyses," Energies, MDPI, vol. 13(12), pages 1-13, June.
    12. Ali Shehadeh & Peter Erdos & Youwei Li & Michael Moore, 2016. "US Dollar Carry Trades in the Era of "Cheap Money"," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 66(5), pages 374-404, October.
    13. Hem C. Basnet & Kamal P. Upadhyaya, 2015. "Impact of oil price shocks on output, inflation and the real exchange rate: evidence from selected ASEAN countries," Applied Economics, Taylor & Francis Journals, vol. 47(29), pages 3078-3091, June.
    14. Mohammad Sharik Essa & Evangelos Giouvris, 2020. "Oil Price, Oil Price Implied Volatility (OVX) and Illiquidity Premiums in the US: (A)symmetry and the Impact of Macroeconomic Factors," JRFM, MDPI, vol. 13(4), pages 1-40, April.
    15. Thuy Thu Nguyen & Hong Thi Mai & Tram Thi Minh Tran, 2020. "Monetary Policy and Stock Market Returns: Evidence from ARDL Bounds Testing Approach for the Case of Vietnam," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 10(7), pages 758-777, July.
    16. Joscha Beckmann & Robert Czudaj, 2013. "Oil and gold price dynamics in a multivariate cointegration framework," International Economics and Economic Policy, Springer, vol. 10(3), pages 453-468, September.
    17. repec:sek:ibmpro:3004657 is not listed on IDEAS
    18. Prince, Ehsanur Rauf & Barmon, Basanta Kumar & Islam, Teresa, 2022. "An Investigation into the Spatial Rice Market Integration in Bangladesh: Application of Vector Error Correction Approach," MPRA Paper 115927, University Library of Munich, Germany.
    19. Golitsis, Petros & Gkasis, Pavlos & Bellos, Sotirios K., 2022. "Dynamic spillovers and linkages between gold, crude oil, S&P 500, and other economic and financial variables. Evidence from the USA," The North American Journal of Economics and Finance, Elsevier, vol. 63(C).
    20. Luqman, Muhammad & Mugheri, Adil & Ahmad, Najid & Soytas, Ugur, 2023. "Casting shadows on natural resource commodity markets: Unraveling the quantile dilemma of gold and crude oil prices," Resources Policy, Elsevier, vol. 86(PA).
    21. Gil-Alana, Luis A. & Yaya, OlaOluwa S. & Awe, Olushina O., 2017. "Time series analysis of co-movements in the prices of gold and oil: Fractional cointegration approach," Resources Policy, Elsevier, vol. 53(C), pages 117-124.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:adi:bsrsss:v:3:y:2021:i:2:p:24-40. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Umit Hacioglu (email available below). General contact details of provider: https://edirc.repec.org/data/ibihutr.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.