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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
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    References listed on IDEAS

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    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. International Monetary Fund, 1988. "Equilibrium in a Non-Interest Open Economy," IMF Working Papers 1988/111, International Monetary Fund.
    3. 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.
    4. 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.
    5. 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.
    6. Robert Engle & Clive Granger, 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.
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    Keywords

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    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

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