IDEAS home Printed from https://ideas.repec.org/a/pfq/journl/v66y2021i1p151-166.html
   My bibliography  Save this article

Analysis of the Influence of the Price of Raw Oil and Natural Gas on the Prices of Indices and Shares of the Turkish Stock Exchange

Author

Listed:
  • Akbulaev, Nurkhodzha
  • Aliyeva, Basti
  • Rzayeva, Shehla

Abstract

This article is a review on the impact of prices and their dependence on the cost of oil and natural gas on the world stock markets. The main studies and results achieved in the field of the impact of prices on both the stock index and industrial stocks and the dependence on the level of oil prices are presented. The paper presents an econometric study on the choice of offers on the securities market that allows us to identify the main specifics of changes in prices for the stock index and industrial shares in the daily period from 13. 05. 2012 to 01. 12. 2019. The article uses methods for estimating the impact of the price of natural gas and WTI crude oil using the Gretl statistical program, taking into account the selection of the main correlation features of the price matrix. Of the 13 proposed research models, only one model showed its statistical insignificance. A paired linear model of the CocaCola share price dependence and its dependence on NGFO prices was presented and analyzed in detail. Based on the results of econometric modeling, linear regression models were constructed for the dependence of stock prices on the NGFO and WTISPOT prices. The Gretl environment allows you to evaluate the situation in the econometric environment and make a forecast based on the obtained models of the dependence of stock prices and make appropriate conclusions.

Suggested Citation

  • Akbulaev, Nurkhodzha & Aliyeva, Basti & Rzayeva, Shehla, 2021. "Analysis of the Influence of the Price of Raw Oil and Natural Gas on the Prices of Indices and Shares of the Turkish Stock Exchange," Public Finance Quarterly, Corvinus University of Budapest, vol. 66(1), pages 151-166.
    • Handle: RePEc:pfq:journl:v:66:y:2021:i:1:p:151-166
    DOI: https://doi.org/10.35551/PFQ_2021_1_8
    as

    Download full text from publisher

    File URL: https://unipub.lib.uni-corvinus.hu/8632/
    Download Restriction: no
    File URL: https://libkey.io/https://doi.org/10.35551/PFQ_2021_1_8?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. Fan, Qinbin & Jahan-Parvar, Mohammad R., 2012. "U.S. industry-level returns and oil prices," International Review of Economics & Finance, Elsevier, vol. 22(1), pages 112-128.
    2. Rehana Siddiqui, 2004. "Energy and Economic Growth in Pakistan," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 43(2), pages 175-200.
    3. Dhaoui, Abderrazak & Khraief, Naceur, 2014. "Empirical linkage between oil price and stock market returns and volatility: Evidence from international developed markets," Economics Discussion Papers 2014-12, Kiel Institute for the World Economy (IfW Kiel).
    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. Suleman Sarwar & Rida Waheed & Mehnoor Amir & Muqaddas Khalid, 2018. "Role of Energy on Economy The Case of Micro to Macro Level Analysis," Economics Bulletin, AccessEcon, vol. 38(4), pages 1905-1926.
    2. Rida Waheed & Chen Wei & Suleman Sarwar & Yulan Lv, 2018. "Impact of oil prices on firm stock return: industry-wise analysis," Empirical Economics, Springer, vol. 55(2), pages 765-780, September.
    3. Shaeri, Komeil & Adaoglu, Cahit & Katircioglu, Salih T., 2016. "Oil price risk exposure: A comparison of financial and non-financial subsectors," Energy, Elsevier, vol. 109(C), pages 712-723.
    4. Muhammad, Shahbaz & V G R, Chandran & Pervaiz, Azeem, 2011. "Natural gas consumption and economic growth: cointegration, causality and forecast error variance decomposition tests for Pakistan," MPRA Paper 35103, University Library of Munich, Germany, revised 30 Nov 2011.
    5. 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.
    6. Muhammad Shahbaz & Mete Feridun, 2012. "Electricity consumption and economic growth empirical evidence from Pakistan," Quality & Quantity: International Journal of Methodology, Springer, vol. 46(5), pages 1583-1599, August.
    7. Basit Ali & Dilawar Khan & Muhammad Shafiq & Róbert Magda & Judit Oláh, 2022. "The Asymmetric Impact of Oil Price Shocks on Sectoral Returns in Pakistan: Evidence from the Non-Linear ARDL Approach," Economies, MDPI, vol. 10(2), pages 1-15, February.
    8. Muhammad Shahbaz & Amatul Razzaq Chaudhary & Syed Jawad Hussain Shahzad, 2020. "Is energy consumption sensitive to foreign capital inflows and currency devaluation in Pakistan?," Applied Economics, Taylor & Francis Journals, vol. 50(52), pages 5641-5658, June.
    9. Destek, Mehmet Akif, 2016. "Natural gas consumption and economic growth: Panel evidence from OECD countries," Energy, Elsevier, vol. 114(C), pages 1007-1015.
    10. Rafique, M. Mujahid & Rehman, S., 2017. "National energy scenario of Pakistan – Current status, future alternatives, and institutional infrastructure: An overview," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 156-167.
    11. Muhammad Shahbaz & Faridul Islam & Muhammad Sabihuddin Butt, 2016. "Finance–Growth–Energy Nexus and the Role of Agriculture and Modern Sectors: Evidence from ARDL Bounds Test Approach to Cointegration in Pakistan," Global Business Review, International Management Institute, vol. 17(5), pages 1037-1059, October.
    12. Aramonte, Sirio & Jahan-Parvar, Mohammad R. & Shugarman, Justin K., 2019. "Institutions and return predictability in oil-exporting countries," The Quarterly Review of Economics and Finance, Elsevier, vol. 71(C), pages 14-26.
    13. Jibran Hussain & Sallahuddin Hassan, 2019. "Oil Prices Dynamics and the State of Energy Crisis in Pakistan," Pakistan Journal of Humanities and Social Sciences, International Research Alliance for Sustainable Development (iRASD), vol. 7(2), pages :203-217, June.
    14. Mubashir Qasim & Koji Kotani, 2014. "An empirical analysis of energy shortage in Pakistan," Asia-Pacific Development Journal, United Nations Economic and Social Commission for Asia and the Pacific (ESCAP), vol. 21(1), pages 137-166, June.
    15. Uddin, Gazi Salah & Rahman, Md Lutfur & Hedström, Axel & Ahmed, Ali, 2019. "Cross-quantilogram-based correlation and dependence between renewable energy stock and other asset classes," Energy Economics, Elsevier, vol. 80(C), pages 743-759.
    16. Fazal, Rizwan & Rehman, Syed Aziz Ur & Bhatti, M. Ishaq, 2022. "Graph theoretic approach to expose the energy-induced crisis in Pakistan," Energy Policy, Elsevier, vol. 169(C).
    17. Muslima Zahan & Ron S. Kenett, 2013. "Modeling and Forecasting Energy Consumption in the Manufacturing Industry in South Asia," International Journal of Energy Economics and Policy, Econjournals, vol. 3(1), pages 87-98.
    18. Mumtaz, Rehma & Zaman, Khalid & Sajjad, Faiza & Lodhi, Muhammad Saeed & Irfan, Muhammad & Khan, Imran & Naseem, Imran, 2014. "Modeling the causal relationship between energy and growth factors: Journey towards sustainable development," Renewable Energy, Elsevier, vol. 63(C), pages 353-365.
    19. Syed Aziz Ur Rehman & Yanpeng Cai & Rizwan Fazal & Gordhan Das Walasai & Nayyar Hussain Mirjat, 2017. "An Integrated Modeling Approach for Forecasting Long-Term Energy Demand in Pakistan," Energies, MDPI, vol. 10(11), pages 1-23, November.
    20. Nasir, Muhammad & Ur Rehman, Faiz, 2011. "Environmental Kuznets Curve for carbon emissions in Pakistan: An empirical investigation," Energy Policy, Elsevier, vol. 39(3), pages 1857-1864, March.

    More about this item

    Keywords

    stocks; correlation; selection criteria; Gretl environment; sample condition; share price forecast; stock market; oil price;
    All these keywords.

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

    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:pfq:journl:v:66:y:2021:i:1:p:151-166. 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: Adam Hoffmann (email available below). General contact details of provider: https://edirc.repec.org/data/bkeeehu.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.