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How strong are the causal relationships between Islamic stock markets and conventional financial systems? Evidence from linear and nonlinear tests

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  • Ahdi Noomen Ajmi
  • Shawkat Hammoudeh
  • Duc Khuong Nguyen
  • Soodabeh Sarafrazi

Abstract

Past studies suggest that the Islamic finance system is only weakly linked or even decoupled from conventional markets. If this statement is true, then this system may provide a cushion against potential losses resulting from probable future financial crises. In this article, we make use of heteroscedasticity-robust linear Granger causality and nonlinear Granger causality tests to examine the links between the Islamic and global conventional stock markets, and between the Islamic stock market and several global economic and financial shocks. Our findings reveal evidence of significant linear and nonlinear causality between the Islamic and conventional stock markets but more strongly from the Islamic stock market to the other markets. They also show potent causality between the Islamic stock market and financial and risk factors. This evidence leads to the rejection of the hypothesis of decoupling of the Islamic market from their conventional counterparts, thereby reduces the portfolio benefits from diversification with Sharia-based markets. A striking result shows a connection between the Islamic stock market and interest rates and interest-bearing securities, which is inconsistent with the Sharia rules. The results also suggest that modeling Islamic stock markets should be done within a nonlinear VAR system and not through a regression equation.
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Suggested Citation

  • Ahdi Noomen Ajmi & Shawkat Hammoudeh & Duc Khuong Nguyen & Soodabeh Sarafrazi, 2013. "How strong are the causal relationships between Islamic stock markets and conventional financial systems? Evidence from linear and nonlinear tests," Working Papers 2013-35, Department of Research, Ipag Business School.
  • Handle: RePEc:ipg:wpaper:2013-35
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    References listed on IDEAS

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    1. Aisyah Rahman, 2010. "Financing structure and insolvency risk exposure of Islamic banks," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 24(4), pages 419-440, December.
    2. Martin Čihák & Heiko Hesse, 2010. "Islamic Banks and Financial Stability: An Empirical Analysis," Journal of Financial Services Research, Springer;Western Finance Association, vol. 38(2), pages 95-113, December.
    3. Andreas G.F. Hoepner & Hussain G. Rammal & Michael Rezec, 2011. "Islamic mutual funds’ financial performance and international investment style: evidence from 20 countries," The European Journal of Finance, Taylor & Francis Journals, vol. 17(9-10), pages 829-850, November.
    4. Heiko Hesse & Andreas (Andy) Jobst & Juan Solé, 2008. "Trends and Challenges in Islamic Finance," World Economics, World Economics, 1 Ivory Square, Plantation Wharf, London, United Kingdom, SW11 3UE, vol. 9(2), pages 175-193, April.
    5. M. E. Arouri & H. Ben Ameur & N. Jawadi & F. Jawadi & W. Louhichi, 2013. "Are Islamic finance innovations enough for investors to escape from a financial downturn? Further evidence from portfolio simulations," Applied Economics, Taylor & Francis Journals, vol. 45(24), pages 3412-3420, August.
    6. Ms. Olga Krasicka & Sylwia Nowak, 2012. "What’s in it for Me? A Primeron Differences between Islamic and Conventional Finance in Malaysia," IMF Working Papers 2012/151, International Monetary Fund.
    7. Andrews, Donald W K, 1991. "Heteroskedasticity and Autocorrelation Consistent Covariance Matrix Estimation," Econometrica, Econometric Society, vol. 59(3), pages 817-858, May.
    8. Goncalves, Silvia & Kilian, Lutz, 2004. "Bootstrapping autoregressions with conditional heteroskedasticity of unknown form," Journal of Econometrics, Elsevier, vol. 123(1), pages 89-120, November.
    9. Bashir, B. A., 1983. "Portfolio management of islamic banks : `Certainty model'," Journal of Banking & Finance, Elsevier, vol. 7(3), pages 339-354, September.
    10. Rapach, David E. & Weber, Christian E., 2004. "Are real interest rates really nonstationary? New evidence from tests with good size and power," Journal of Macroeconomics, Elsevier, vol. 26(3), pages 409-430, September.
    11. Cheung, Yin-Wong & Ng, Lilian K., 1996. "A causality-in-variance test and its application to financial market prices," Journal of Econometrics, Elsevier, vol. 72(1-2), pages 33-48.
    12. Rose, Andrew Kenan, 1988. " Is the Real Interest Rate Stable?," Journal of Finance, American Finance Association, vol. 43(5), pages 1095-1112, December.
    13. Ma, Yue & Kanas, Angelos, 2000. "Testing for a nonlinear relationship among fundamentals and exchange rates in the ERM," Journal of International Money and Finance, Elsevier, vol. 19(1), pages 135-152, February.
    14. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
    15. MacKinnon, James G. & White, Halbert, 1985. "Some heteroskedasticity-consistent covariance matrix estimators with improved finite sample properties," Journal of Econometrics, Elsevier, vol. 29(3), pages 305-325, September.
    16. Christian M. Hafner & Helmut Herwartz, 2009. "Testing for linear vector autoregressive dynamics under multivariate generalized autoregressive heteroskedasticity," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 63(3), pages 294-323, August.
    17. Granger, C. W. J., 1980. "Testing for causality : A personal viewpoint," Journal of Economic Dynamics and Control, Elsevier, vol. 2(1), pages 329-352, May.
    18. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-438, July.
    19. Hiemstra, Craig & Jones, Jonathan D, 1994. "Testing for Linear and Nonlinear Granger Causality in the Stock Price-Volume Relation," Journal of Finance, American Finance Association, vol. 49(5), pages 1639-1664, December.
    20. Hassan, Abul & Antoniou, Antonios & Paudyal, D Krishna, 2005. "Impact Of Ethical Screening On Investment Performance: The Case Of The Dow Jones Islamic Index," Islamic Economic Studies, The Islamic Research and Training Institute (IRTI), vol. 12, pages 68-97.
    21. Mr. Juan Sole, 2007. "Introducing Islamic Banks into Conventional Banking Systems," IMF Working Papers 2007/175, International Monetary Fund.
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    More about this item

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models

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