IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/91558.html
   My bibliography  Save this paper

Oil price and the global conventional and islamic stock markets: Is the relationship symmetric or asymmetric ? evidence from nonlinear ARDL

Author

Listed:
  • Adediran, Ibrahim Opeyemi
  • Masih, Mansur

Abstract

The objective of this study is to investigate the relationship between the global oil and stock markets using the Islamic and conventional global stock indexes. We test the short- and long-run asymmetric impact of oil prices on both the conventional and Islamic stock prices in the global markets. The nonlinear ARDL approach developed by Shin et al.(2014) is utilized to examine the asymmetric relationship between the variables. The results tend to indicate that the impact of oil prices on stock prices is asymmetric during the short-run for both the Islamic and conventional stock markets. However, the long-run asymmetric relationship exists for the impact of the Oil price on Islamic stocks only and not on conventional stocks.The results carry important policy implications for the investors and policymakers.

Suggested Citation

  • Adediran, Ibrahim Opeyemi & Masih, Mansur, 2018. "Oil price and the global conventional and islamic stock markets: Is the relationship symmetric or asymmetric ? evidence from nonlinear ARDL," MPRA Paper 91558, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:91558
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/91558/1/MPRA_paper_91558.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. M. Hashem Pesaran & Yongcheol Shin & Richard J. Smith, 2001. "Bounds testing approaches to the analysis of level relationships," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(3), pages 289-326.
    2. Ishak Shari, 2000. "Economic Growth And Income Inequality In Malaysia, 1971–95," Journal of the Asia Pacific Economy, Taylor & Francis Journals, vol. 5(1-2), pages 112-124.
    3. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    4. Rita Biswas & Donald R. Fraser & Gregory Hebb, 2000. "On The Shareholder Wealth Effects Of Deposit Insurance Premium Revisions On Large, Publicly Traded Commercial Banks," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 23(2), pages 223-241, June.
    5. Zhang, Ruixin & Ben Naceur, Sami, 2019. "Financial development, inequality, and poverty: Some international evidence," International Review of Economics & Finance, Elsevier, vol. 61(C), pages 1-16.
    6. Robin C. Sickles & William C. Horrace (ed.), 2014. "Festschrift in Honor of Peter Schmidt," Springer Books, Springer, edition 127, number 978-1-4899-8008-3, September.
    7. Seven, Unal & Coskun, Yener, 2016. "Does financial development reduce income inequality and poverty? Evidence from emerging countries," Emerging Markets Review, Elsevier, vol. 26(C), pages 34-63.
    8. Madhu Sehrawat & A K Giri, 2015. "Financial development and income inequality in India: an application of ARDL approach," International Journal of Social Economics, Emerald Group Publishing Limited, vol. 42(1), pages 64-81, January.
    9. Muhammad Shahbaz & Faridul Islam, 2011. "Financial Development And Income Inequality In Pakistan: An Application Of Ardl Approach," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 36(1), pages 35-58, March.
    10. Biswas, Rita & Fraser, Donald R & Hebb, Gregory, 2000. "On the Shareholder Wealth Effects of Deposit Insurance Premium Revisions on Large, Publicly Traded Commercial Banks," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 23(2), pages 223-241, Summer.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Godil, Danish Iqbal & Sarwat, Salman & Khan, Muhammad Kamran & Ashraf, Muhammad Sajjad & Sharif, Arshian & Ozturk, Ilhan, 2022. "How the price dynamics of energy resources and precious metals interact with conventional and Islamic Stocks: Fresh insight from dynamic ARDL approach," Resources Policy, Elsevier, vol. 75(C).
    2. Ghaemi Asl, Mahdi & Adekoya, Oluwasegun Babatunde & Rashidi, Muhammad Mahdi & Ghasemi Doudkanlou, Mohammad & Dolatabadi, Ali, 2022. "Forecast of Bayesian-based dynamic connectedness between oil market and Islamic stock indices of Islamic oil-exporting countries: Application of the cascade-forward backpropagation network," Resources Policy, Elsevier, vol. 77(C).

    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. Haffejee, muhammad Ismail & Masih, Mansur, 2018. "Is the relationship between financial development and income inequality symmetric or asymmetric ? new evidence from South Africa based on NARDL," MPRA Paper 87574, University Library of Munich, Germany.
    2. Murat Cetin & Harun Demir & Selin Saygin, 2021. "Financial Development, Technological Innovation and Income Inequality: Time Series Evidence from Turkey," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 156(1), pages 47-69, July.
    3. Ahmed, Azleen Rosemy & Masih, Mansur, 2017. "What is the link between financial development and income inequality? evidence from Malaysia," MPRA Paper 79416, University Library of Munich, Germany.
    4. Prao Yao Séraphin & Kongoza Kouassi Cyrille, 2023. "Nonlinear Effect of Financial Development on Income Inequality: The Case of Ivory Coast," International Journal of Business and Management, Canadian Center of Science and Education, vol. 17(6), pages 1-57, February.
    5. Boukraine, Wissem, 2020. "The finance-inequality nexus in the BRICS countries: evidence from an ARDL bound testing approach," MPRA Paper 101976, University Library of Munich, Germany.
    6. Shahbaz, Muhammad & Hoang, Thi Hong Van & Mahalik, Mantu Kumar & Roubaud, David, 2017. "Energy consumption, financial development and economic growth in India: New evidence from a nonlinear and asymmetric analysis," Energy Economics, Elsevier, vol. 63(C), pages 199-212.
    7. Ingrid Groessl & Artur Tarassow, 2015. "A Microfounded Model of Money Demand Under Uncertainty, and some Empirical Evidence," Macroeconomics and Finance Series 201504, University of Hamburg, Department of Socioeconomics, revised Jan 2018.
    8. Shawkat Hammoudeh & Walid Mensi & Jin Seo Cho, 2022. "Spillovers between exchange rate pressure and CDS bid-ask spreads, reserve assets and oil prices using the quantile ARDL model," International Economics, CEPII research center, issue 170, pages 66-78.
    9. Luqman, Muhammad & Ahmad, Najid & Bakhsh, Khuda, 2019. "Nuclear energy, renewable energy and economic growth in Pakistan: Evidence from non-linear autoregressive distributed lag model," Renewable Energy, Elsevier, vol. 139(C), pages 1299-1309.
    10. Adewuyi, Adeolu O. & Ogebe, Joseph O., 2019. "The validity of uncovered interest parity: Evidence from african members and non-member of the organisation of petroleum exporting countries (OPEC)," Economic Modelling, Elsevier, vol. 82(C), pages 229-249.
    11. Muhammad Shahbaz & Mohammad Mafizur Rahman, 2012. "The Dynamic of Financial Development, Imports, Foreign Direct Investment and Economic Growth: Cointegration and Causality Analysis in Pakistan," Global Business Review, International Management Institute, vol. 13(2), pages 201-219, June.
    12. Adnen Ben Nasr & Juncal Cunado & Rıza Demirer & Rangan Gupta, 2018. "Country Risk Ratings and Stock Market Returns in Brazil, Russia, India, and China (BRICS) Countries: A Nonlinear Dynamic Approach," Risks, MDPI, vol. 6(3), pages 1-22, September.
    13. Farhani, Sahbi & Solarin, Sakiru Adebola, 2017. "Financial development and energy demand in the United States: New evidence from combined cointegration and asymmetric causality tests," Energy, Elsevier, vol. 134(C), pages 1029-1037.
    14. Rangan Gupta & Amine Lahiani & Chi-Chuan Lee & Chien-Chiang Lee, 2019. "Asymmetric dynamics of insurance premium: the impacts of output and economic policy uncertainty," Empirical Economics, Springer, vol. 57(6), pages 1959-1978, December.
    15. Roya Taherifar & Mark J. Holmes & Gazi M. Hassan, 2023. "Does economic openness matter in the impact of financial development on income inequality?," Working Papers in Economics 23/04, University of Waikato.
    16. Meniago, Christelle & Asongu, Simplice A., 2018. "Revisiting the finance-inequality nexus in a panel of African countries," Research in International Business and Finance, Elsevier, vol. 46(C), pages 399-419.
    17. Muhammad Shahbaz & Talat Afza & Muhammad Shahbaz Shabbir, 2013. "Financial Development, Domestic Savings and Poverty Reduction in Pakistan: Using Cointegration and Granger Causality Analysis," International Journal of Economics and Empirical Research (IJEER), The Economics and Social Development Organization (TESDO), vol. 1(5), pages 59-73, May.
    18. Quan-Hoang Vuong & Manh-Tung Ho & Hong-Kong To Nguyen & Minh-Hoang Nguyen, 2019. "The trilemma of sustainable industrial growth: evidence from a piloting OECD’s Green city," Palgrave Communications, Palgrave Macmillan, vol. 5(1), pages 1-14, December.
    19. Gila-Gourgoura, E. & Nikolaidou, E., 2017. "Credit Risk Determinants in the Vulnerable Economies of Europe: Evidence from the Spanish Banking System," International Journal of Business and Economic Sciences Applied Research (IJBESAR), International Hellenic University (IHU), Kavala Campus, Greece (formerly Eastern Macedonia and Thrace Institute of Technology - EMaTTech), vol. 10(1), pages 60-71, March.
    20. Jin Seo Cho & Matthew Greenwood‐Nimmo & Yongcheol Shin, 2023. "Recent developments of the autoregressive distributed lag modelling framework," Journal of Economic Surveys, Wiley Blackwell, vol. 37(1), pages 7-32, February.

    More about this item

    Keywords

    global oil and stock markets; ARDL; NARDL; causality;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:pra:mprapa:91558. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.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.