IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/100636.html
   My bibliography  Save this paper

Is the GCC islamic index independent of the conventional interest rates ?

Author

Listed:
  • Bakkali, Saad
  • Masih, Mansur

Abstract

The paper addresses the issue of independence of the GCC Islamic index from LIBOR which is the conventional interest rate. The issue of stability and independence of Islamic financial sector from its counterpart is debatable. The standard time series techniques are used to investigate this issue. We found that the GCC Islamic index is co-integrated with both Islamic and conventional sectors. Moreover, it has been co-integrated with LIBOR which means the conventional interest rate is still a large part of Islamic markets. The effectiveness of Islamic indices on GCC Islamic index tends to have weaker role excepting the US Islamic index which is a bit stronger. Generally, the conventional sector does play a big role and that is what was expected. The size of the conventional sector and the flexibility that it has, serve the position that it has. The study shows that even conventional sector in GCC has less to do with Islamic, whereas the US is driving both the sectors. The GCC economies are linked with the US economy in many ways. Many studies approved the high connection between the stock price and oil price which is paid in US Dollar. The economic condition of US and hence the conventional LIBOR is evidenced to have a big impact on the GCC Islamic index.

Suggested Citation

  • Bakkali, Saad & Masih, Mansur, 2017. "Is the GCC islamic index independent of the conventional interest rates ?," MPRA Paper 100636, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:100636
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/100636/1/MPRA_paper_100636.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Johansen, Soren & Juselius, Katarina, 1990. "Maximum Likelihood Estimation and Inference on Cointegration--With Applications to the Demand for Money," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 52(2), pages 169-210, May.
    2. Basher, Syed Abul & Haug, Alfred A. & Sadorsky, Perry, 2012. "Oil prices, exchange rates and emerging stock markets," Energy Economics, Elsevier, vol. 34(1), pages 227-240.
    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. Mohamed Arouri & Christophe Rault, 2010. "Oil Prices and Stock Markets: What Drives What in the Gulf Corporation Council Countries," International Economics, CEPII research center, issue 122, pages 41-56.
    5. International Monetary Fund, 1988. "Equilibrium in a Non-Interest Open Economy," IMF Working Papers 1988/111, International Monetary Fund.
    6. Baur, Dirk G. & Lucey, Brian M., 2009. "Flights and contagion--An empirical analysis of stock-bond correlations," Journal of Financial Stability, Elsevier, vol. 5(4), pages 339-352, 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. Narinder Pal Singh & Sugandha Sharma, 2018. "Cointegration and Causality among Dollar, Oil, Gold and Sensex across Global Financial Crisis," Vision, , vol. 22(4), pages 365-376, December.
    2. Abdul Razak Abdul Hadi & Mohd Hanafia Huridi & Syeliya Md Zaini & Zalina Zainudin, 2019. "Is Ringgit really influenced by crude oil price? Evidence from commodity and bank lending markets," Contemporary Economics, University of Economics and Human Sciences in Warsaw., vol. 13(4), December.
    3. Natanelov, Valeri & McKenzie, Andrew M. & Van Huylenbroeck, Guido, 2013. "Crude oil–corn–ethanol – nexus: A contextual approach," Energy Policy, Elsevier, vol. 63(C), pages 504-513.
    4. Benjamin Ighodalo Ehikioya & Alexander Ehimare Omankhanlen & Ayopo Abiola Babajide & Godswill Osagie Osuma & Cordelia Onyinyechi Omodero, 2020. "Oil Price Fluctuations and Exchange Rate in Selected Sub-Saharan Africa countries: A Vector Error Correction Model Approach," International Journal of Energy Economics and Policy, Econjournals, vol. 10(6), pages 242-249.
    5. Dagher, Leila & El Hariri, Sadika, 2013. "The impact of global oil price shocks on the Lebanese stock market," Energy, Elsevier, vol. 63(C), pages 366-374.
    6. Hammami, Algia & Ghenimi, Ameni & Bouri, Abdelfatteh, 2019. "Oil prices, US exchange rates, and stock market: evidence from Jordan as a net oil importer," MPRA Paper 94570, University Library of Munich, Germany.
    7. Mohammad Joarder & Monir Ahmed & Tahsina Haque & Syed Hasanuzzaman, 2014. "An empirical testing of informational efficiency in Bangladesh capital market," Economic Change and Restructuring, Springer, vol. 47(1), pages 63-87, February.
    8. Levent, Korap, 2007. "Modeling purchasing power parity using co-integration: evidence from Turkey," MPRA Paper 19584, University Library of Munich, Germany.
    9. Zamani, Mehrzad, 2007. "Energy consumption and economic activities in Iran," Energy Economics, Elsevier, vol. 29(6), pages 1135-1140, November.
    10. Muhammad Zia Ullah Khan & Muhammad Illyas & Muqqadas Rahman & Chaudhary Abdul Rahman, 2015. "Money Monetization and Economic Growth in Pakistan," International Journal of Economics and Empirical Research (IJEER), The Economics and Social Development Organization (TESDO), vol. 3(4), pages 184-192, April.
    11. Muhammad Shafiullah & Ravinthirakumaran Navaratnam, 2016. "Do Bangladesh and Sri Lanka Enjoy Export-Led Growth? A Comparison of Two Small South Asian Economies," South Asia Economic Journal, Institute of Policy Studies of Sri Lanka, vol. 17(1), pages 114-132, March.
    12. Titus O. Awokuse, 2003. "Is the export-led growth hypothesis valid for Canada?," Canadian Journal of Economics, Canadian Economics Association, vol. 36(1), pages 126-136, February.
    13. Saaed, A.A.J., 2007. "Inflation and Economic Growth in Kuwait: 1985-2005. Evidence from Co-Integration and Error Correction Model," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 7(1).
    14. Yap, Wei Yim & Lam, Jasmine S.L., 2006. "Competition dynamics between container ports in East Asia," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(1), pages 35-51, January.
    15. R. Santos Alimi, 2014. "ARDL Bounds Testing Approach to Cointegration: A Re-Examination of Augmented Fisher Hypothesis in an Open Economy," Asian Journal of Economic Modelling, Asian Economic and Social Society, vol. 2(2), pages 103-114, June.
    16. Ely, David & Salehizadeh, Mehdi, 2001. "American depositary receipts: An analysis of international stock price movements," International Review of Financial Analysis, Elsevier, vol. 10(4), pages 343-363.
    17. Claire G.Gilmore & Brian Lucey & Ginette M.McManus, 2005. "The Dynamics of Central European Equity Market Integration," The Institute for International Integration Studies Discussion Paper Series iiisdp069, IIIS.
    18. Abbas Alavirad & Sanhita Athawale, 2005. "The impact of the budget deficit on inflation in the Islamic Republic of Iran," OPEC Energy Review, Organization of the Petroleum Exporting Countries, vol. 29(1), pages 37-49, March.
    19. Daniel Levy, 1995. "Investment-saving comovement under endogenous fiscal policy," Open Economies Review, Springer, vol. 6(3), pages 237-254, July.
    20. Ulrich Witt & Christian Gross, 2020. "The rise of the “service economy” in the second half of the twentieth century and its energetic contingencies," Journal of Evolutionary Economics, Springer, vol. 30(2), pages 231-246, April.

    More about this item

    Keywords

    GCC Islamic index; LIBOR; VECM; VDC;
    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
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

    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:100636. 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.