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Are there Long-Run Diversification Gains from the Dow Jones Islamic Finance Index?

Author

Listed:
  • Mehmet Balcilar

    (Department of Economics, Eastern Mediterranean University, Famagusta, Northern Cyprus , via Mersin 10, Turkey)

  • Charl Jooste

    (Department of Economics, University of Pretoria)

  • Shawkat Hammoudeh

    (Lebow College of Business, Drexel University, Philadelphia, PA, USA)

  • Rangan Gupta

    (Department of Economics, University of Pretoria)

  • Vassilios Babalos

    (Department of Accounting & Finance, Technological Educational Institute of Peloponnese, Greece)

Abstract

We compare nonlinear cointegration tests with the standard cointegration tests in studying the relationship of the Dow Jones Islamic finance index with three other conventional equity market indices. Our results show that there is a long-run nonlinear cointegrating relationship between the Dow Jones Islamic stock market index and other conventional stock market indices. Our findings rely on a battery of standard tests as well as on the Bierens and Martins (2010) test that investigates time-varying coefficient cointegration in a multivariate system. Islamic markets seem to offer little, if any, long-run diversification to international investors.

Suggested Citation

  • Mehmet Balcilar & Charl Jooste & Shawkat Hammoudeh & Rangan Gupta & Vassilios Babalos, 2014. "Are there Long-Run Diversification Gains from the Dow Jones Islamic Finance Index?," Working Papers 201433, University of Pretoria, Department of Economics.
    • Handle: RePEc:pre:wpaper:201433
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    References listed on IDEAS

    as
    1. Nasr, Adnen Ben & Lux, Thomas & Ajmi, Ahdi Noomen & Gupta, Rangan, 2016. "Forecasting the volatility of the Dow Jones Islamic Stock Market Index: Long memory vs. regime switching," International Review of Economics & Finance, Elsevier, vol. 45(C), pages 559-571.
    2. Vasco Gabriel & Luis Martins, 2011. "Cointegration tests under multiple regime shifts: An application to the stock price–dividend relationship," Empirical Economics, Springer, vol. 41(3), pages 639-662, December.
    3. Saban Nazlioglu & Shawkat Hammoudeh & Rangan Gupta, 2015. "Volatility transmission between Islamic and conventional equity markets: evidence from causality-in-variance test," Applied Economics, Taylor & Francis Journals, vol. 47(46), pages 4996-5011, October.
    4. R.K. Kaundal & Sanjeet Sharma, 2010. "Stock Market Integration," Foreign Trade Review, , vol. 45(3), pages 3-18, October.
    5. Bierens, Herman J. & Martins, Luis F., 2010. "Time-Varying Cointegration," Econometric Theory, Cambridge University Press, vol. 26(5), pages 1453-1490, October.
    6. Park, Joon Y. & Hahn, Sang B., 1999. "Cointegrating Regressions With Time Varying Coefficients," Econometric Theory, Cambridge University Press, vol. 15(5), pages 664-703, October.
    7. Johansen, Soren, 1991. "Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models," Econometrica, Econometric Society, vol. 59(6), pages 1551-1580, November.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Camgöz, Mevlüt & Topal, Mehmet Hanefi, 2022. "Identifying the asymmetric price dynamics of Islamic equities: Implications for international investors," Research in International Business and Finance, Elsevier, vol. 60(C).
    2. Mensi, Walid & Rehman, Mobeen Ur & Maitra, Debasish & Al-Yahyaee, Khamis Hamed & Vo, Xuan Vinh, 2023. "Frequency spillovers and portfolio risk implications between Sukuk, Islamic stock and emerging stock markets," The Quarterly Review of Economics and Finance, Elsevier, vol. 91(C), pages 139-157.
    3. Karim, Muhammad Mahmudul & Kawsar, Najmul Haque & Ariff, Mohamed & Masih, Mansur, 2022. "Does implied volatility (or fear index) affect Islamic stock returns and conventional stock returns differently? Wavelet-based granger-causality, asymmetric quantile regression and NARDL approaches," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 77(C).
    4. Ahmed, Walid M.A., 2019. "Islamic and conventional equity markets: Two sides of the same coin, or not?," The Quarterly Review of Economics and Finance, Elsevier, vol. 72(C), pages 191-205.
    5. Yanhua Chen & Rosario N Mantegna & Athanasios A Pantelous & Konstantin M Zuev, 2018. "A dynamic analysis of S&P 500, FTSE 100 and EURO STOXX 50 indices under different exchange rates," PLOS ONE, Public Library of Science, vol. 13(3), pages 1-40, March.
    6. Jean-Michel Sahut & Mehdi Mili & Maroua Ben Krir & Frédéric Teulon, 2015. "Factors of Competitiveness of Islamic Banks in the New Financial Order," Working Papers 2015-625, Department of Research, Ipag Business School.
    7. Charfeddine, Lanouar & Benlagha, Noureddine & Maouchi, Youcef, 2020. "Investigating the dynamic relationship between cryptocurrencies and conventional assets: Implications for financial investors," Economic Modelling, Elsevier, vol. 85(C), pages 198-217.
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    14. Delle Foglie, Andrea & Panetta, Ida Claudia, 2020. "Islamic stock market versus conventional: Are islamic investing a ‘Safe Haven’ for investors? A systematic literature review," Pacific-Basin Finance Journal, Elsevier, vol. 64(C).

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    More about this item

    Keywords

    Islamic and conventional finance; time-varying cointegration;

    JEL classification:

    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling
    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • G1 - Financial Economics - - General Financial Markets

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