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Are Islamic Stock Markets Efficient? A Multifractal Detrended Fluctuation Analysis

Author

Listed:
  • Jamal Bouoiyour

    (CATT - Centre d'Analyse Théorique et de Traitement des données économiques - UPPA - Université de Pau et des Pays de l'Adour)

  • Refk Selmi

    (CATT - Centre d'Analyse Théorique et de Traitement des données économiques - UPPA - Université de Pau et des Pays de l'Adour)

  • Mark Wohar

Abstract

In this paper, we use the methods of Multifractal Detrended Fluctuation Analysis (MF-DFA) and DFA based on generalized Hurst exponents to compare the relative efficiency between short- and long-run horizons and small and large fluctuations of emerging and developed Islamic stock markets. We find that the efficiency of Islamic stock markets is time varying. Both the developed and the emerging Islamic stock markets seem to include some inefficient forms in the short-run. We also show that emerging Islamic stock markets are less efficient than developed Islamic markets. Last but not least, the short-term (long-term) behavior of the developed (emerging) Islamic stock market is found to be persistent while the long-term (short-term) behavior is anti-persistent.
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Suggested Citation

  • Jamal Bouoiyour & Refk Selmi & Mark Wohar, 2018. "Are Islamic Stock Markets Efficient? A Multifractal Detrended Fluctuation Analysis," Post-Print hal-01879668, HAL.
  • Handle: RePEc:hal:journl:hal-01879668
    DOI: 10.1016/j.frl.2017.12.008
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    3. Shrestha, Keshab & Naysary, Babak & Philip, Sheena Sara Suresh, 2023. "Fintech market efficiency: A multifractal detrended fluctuation analysis," Finance Research Letters, Elsevier, vol. 54(C).
    4. Wang, Feng & Ye, Xin & Chen, HongTao & Wu, Congxin, 2021. "A portfolio strategy of stock market based on mean-MF-X-DMA model," Chaos, Solitons & Fractals, Elsevier, vol. 143(C).
    5. Jean-Claude Kouakou Brou & Jamal Bouoiyour, 2023. "South Africa's Public Debt: Long-term Dependence, Structural Breaks and Multifractality [La dette publique de l'Afrique du Sud : dépendance à long terme, ruptures structurelles et multifractalité]," Post-Print hal-04327950, HAL.
    6. Addi, Abdelhamid & Bouoiyour, Jamal, 2023. "Interconnectedness and extreme risk: Evidence from dual banking systems," Economic Modelling, Elsevier, vol. 120(C).
    7. Abdullah, Mohammad & Chowdhury, Mohammad Ashraful Ferdous & Sulong, Zunaidah, 2023. "Asymmetric efficiency and connectedness among green stocks, halal tourism stocks, cryptocurrencies, and commodities: Portfolio hedging implications," Resources Policy, Elsevier, vol. 81(C).
    8. Zhang, Wei & Wang, Pengfei & Li, Xiao & Shen, Dehua, 2018. "The inefficiency of cryptocurrency and its cross-correlation with Dow Jones Industrial Average," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 510(C), pages 658-670.
    9. Deniz Erer & Elif Erer & Selim Güngör, 2023. "The aggregate and sectoral time-varying market efficiency during crisis periods in Turkey: a comparative analysis with COVID-19 outbreak and the global financial crisis," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-25, December.

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    More about this item

    JEL classification:

    • 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

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