IDEAS home Printed from https://ideas.repec.org/a/vrs/ngooec/v69y2023i4p1-11n2.html
   My bibliography  Save this article

The Relationship Between Oil Prices and Stock Prices of the European Renewable Energy Companies: A Vector Autoregressive Analysis

Author

Listed:
  • Slatina Enis

    (MA Student, University of Sarajevo, School of Economics and Business, Trg oslobodjenja 1, 71000 Sarajevo, BiH)

  • Lazović-Pita Lejla

    (University of Sarajevo, School of Economics and Business, Trg oslobodjenja 1, 71000 Sarajevo, BiH)

  • Abdić Ademir

    (University of Sarajevo, School of Economics and Business, Trg oslobodjenja 1, 71000 Sarajevo, BiH)

  • Abdić Adem

    (University of Sarajevo, School of Economics and Business, Trg oslobodjenja 1, 71000 Sarajevo, BiH)

Abstract

This article aims to examine the potential relationship between Brent crude oil futures prices and the index of the European renewable energy companies. After the overview of the European legislation and the most recent literature review on the topic, the article deploys a method of the Vector Autoregressive Model (VAR). The analysis includes weekly data over eight years (2015-2022). Our results indicate a positive correlation between Brent crude oil futures prices and the value of the European Renewable Energy Total Return (ERIX) index. The estimated bivariate VAR model indicates a statistically significant relationship, meaning that past values of the ERIX Index may be used to predict future Brent crude oil prices in the long run. Considering the most recent systemic disturbance in the world’s commodity market, future research should consider longer time series and possible relationships of other macroeconomic factors.

Suggested Citation

  • Slatina Enis & Lazović-Pita Lejla & Abdić Ademir & Abdić Adem, 2023. "The Relationship Between Oil Prices and Stock Prices of the European Renewable Energy Companies: A Vector Autoregressive Analysis," Naše gospodarstvo/Our economy, Sciendo, vol. 69(4), pages 1-11, December.
  • Handle: RePEc:vrs:ngooec:v:69:y:2023:i:4:p:1-11:n:2
    DOI: 10.2478/ngoe-2023-0019
    as

    Download full text from publisher

    File URL: https://doi.org/10.2478/ngoe-2023-0019
    Download Restriction: no

    File URL: https://libkey.io/10.2478/ngoe-2023-0019?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. Broadstock, David C. & Cao, Hong & Zhang, Dayong, 2012. "Oil shocks and their impact on energy related stocks in China," Energy Economics, Elsevier, vol. 34(6), pages 1888-1895.
    2. Murad A. BEIN & Mehmet AGA, 2016. "On the Linkage between the International Crude Oil Price and Stock Markets: Evidence from the Nordic and Other European Oil Importing and Oil Exporting Countries," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 115-134, December.
    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. Vítor Manuel de Sousa Gabriel & María Mar Miralles-Quirós & José Luis Miralles-Quirós, 2021. "Shades between Black and Green Investment: Balance or Imbalance?," Sustainability, MDPI, vol. 13(9), pages 1-14, April.
    2. Dutta, Anupam & Bouri, Elie & Rothovius, Timo & Uddin, Gazi Salah, 2023. "Climate risk and green investments: New evidence," Energy, Elsevier, vol. 265(C).
    3. Liu, Yongtuan & Wang, Kewei, 2024. "Asymmetric impacts of coal prices, fintech, and financial stress on clean energy stocks," Resources Policy, Elsevier, vol. 92(C).
    4. Yi, Yongsheng & Ma, Feng & Zhang, Yaojie & Huang, Dengshi, 2019. "Forecasting stock returns with cycle-decomposed predictors," International Review of Financial Analysis, Elsevier, vol. 64(C), pages 250-261.
    5. Shen, Yiran & Liu, Chang & Sun, Xiaolei & Guo, Kun, 2023. "Investor sentiment and the Chinese new energy stock market: A risk–return perspective," International Review of Economics & Finance, Elsevier, vol. 84(C), pages 395-408.
    6. Evrim Mandacı, Pınar & Cagli, Efe Çaglar & Taşkın, Dilvin, 2020. "Dynamic connectedness and portfolio strategies: Energy and metal markets," Resources Policy, Elsevier, vol. 68(C).
    7. Yufeng Chen & Wenqi Li & Xi Jin, 2018. "Volatility Spillovers between Crude Oil Prices and New Energy Stock Price in China," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 43-62, December.
    8. Leong, Soon Heng, 2021. "Global crude oil and the Chinese oil-intensive sectors: A comprehensive causality study," Energy Economics, Elsevier, vol. 103(C).
    9. Antonakakis, Nikolaos & Cunado, Juncal & Filis, George & Gabauer, David & Perez de Gracia, Fernando, 2018. "Oil volatility, oil and gas firms and portfolio diversification," Energy Economics, Elsevier, vol. 70(C), pages 499-515.
    10. Md. Mahmudul Alam & Haitian Wei & Abu N. M. Wahid, 2021. "COVID‐19 outbreak and sectoral performance of the Australian stock market: An event study analysis," Australian Economic Papers, Wiley Blackwell, vol. 60(3), pages 482-495, September.
    11. Ekhlas Al-hajj & Usama Al-Mulali & Sakiru Adebola Solarin, 2021. "Exploring the nexus between oil price shocks and sectoral stock returns: a new evidence from stock exchange in Malaysia," Economic Change and Restructuring, Springer, vol. 54(1), pages 199-217, February.
    12. Antonakakis, Nikolaos & Chatziantoniou, Ioannis & Filis, George, 2017. "Oil shocks and stock markets: Dynamic connectedness under the prism of recent geopolitical and economic unrest," International Review of Financial Analysis, Elsevier, vol. 50(C), pages 1-26.
    13. Kong, Dongmin & Xiong, Mengxu & Xiang, Junyi, 2021. "Terrorist attacks and energy firms' crash risk in stock markets: Evidence from China," Energy Economics, Elsevier, vol. 102(C).
    14. Bai, Shuming & Koong, Kai S., 2018. "Oil prices, stock returns, and exchange rates: Empirical evidence from China and the United States," The North American Journal of Economics and Finance, Elsevier, vol. 44(C), pages 12-33.
    15. Chen, Chun-Da & Cheng, Chiao-Ming & Demirer, Rıza, 2017. "Oil and stock market momentum," Energy Economics, Elsevier, vol. 68(C), pages 151-159.
    16. Juan C. Reboredo & Andrea Ugolini & Yifei Chen, 2019. "Interdependence Between Renewable-Energy and Low-Carbon Stock Prices," Energies, MDPI, vol. 12(23), pages 1-14, November.
    17. Miramir Bagirov & Cesario Mateus, 2024. "A Survey of Literature on the Interlinkage between Petroleum Prices and Equity Markets," JRFM, MDPI, vol. 17(1), pages 1-48, January.
    18. Dejan Živkov & Jovan Njegiæ & Mirela Momèiloviæ, 2018. "Bidirectional spillover effect between Russian stock index and the selected commodities," Zbornik radova Ekonomskog fakulteta u Rijeci/Proceedings of Rijeka Faculty of Economics, University of Rijeka, Faculty of Economics and Business, vol. 36(1), pages 29-53.
    19. Ferreira, Paulo & Pereira, Éder & Silva, Marcus, 2020. "The relationship between oil prices and the Brazilian stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 545(C).
    20. Kumeka, Terver Theophilus & Uzoma-Nwosu, Damian Chidozie & David-Wayas, Maria Onyinye, 2022. "The effects of COVID-19 on the interrelationship among oil prices, stock prices and exchange rates in selected oil exporting economies," Resources Policy, Elsevier, vol. 77(C).

    More about this item

    Keywords

    Renewable energy; Brent crude oil; Futures prices; ERIX index; VAR;
    All these keywords.

    JEL classification:

    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy
    • Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy

    Statistics

    Access and download statistics

    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:vrs:ngooec:v:69:y:2023:i:4:p:1-11:n:2. 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: Peter Golla (email available below). General contact details of provider: https://www.sciendo.com .

    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.