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Return performance, Cointegration and short run dynamics of Islamic and non-Islamic indices: evidence from the US and Malaysia during the subprime crisis

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  • Mohamed Shikh Albaity

    (University of Malaya. Kuala Lumpur. Malaysia.)

  • Hamdia Mudor

    (Prince of Songkla University. Thailand.)

Abstract

This paper studies the returns difference, the long run relationship, and the short run dynamics of Islamic indices compared to non-Islamic indices in three sub periods as well as the overall period. The sub periods studied are the pre-, post and during the recent subprime crisis. The results indicate that there is no significant difference in mean returns between the Islamic indices as well as their counterparts. In terms of long run relationship or cointegration it is found that the Islamic indices were cointegrated in the pre-crisis as well as post crisis period. On the other hand the conventional indices were not cointegrated in any of the sub periods. The short run causality between the Islamic indices is a unidirectional from DJIMI towards HJ in all the sub-periods. Similarly, the conventional indices have a unidirectional causality running from DJINA towards KLCI except during the financial crisis where a bidirectional relationship exists. The result here suggests that the screening criteria of Islamic indices eliminate doubtful stocks before they fail is not accurate. In other words, if the Islamic indices screening criteria have any benefit in identifying the failing stocks they would have at least minimized the effect of the financial crisis. Therefore, investing in Islamic indices has no superiority over the conventional index in terms of performance. However, Islamic investment might have the peace of mind some investors are looking for.

Suggested Citation

  • Mohamed Shikh Albaity & Hamdia Mudor, 2012. "Return performance, Cointegration and short run dynamics of Islamic and non-Islamic indices: evidence from the US and Malaysia during the subprime crisis," Economic Analysis Working Papers (2002-2010). Atlantic Review of Economics (2011-2016), Colexio de Economistas de A Coruña, Spain and Fundación Una Galicia Moderna, vol. 1, pages 1-1, June.
    • Handle: RePEc:eac:articl:08/11
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    Cited by:

    1. Naifar, Nader, 2016. "Do global risk factors and macroeconomic conditions affect global Islamic index dynamics? A quantile regression approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 61(C), pages 29-39.
    2. El Mehdi, Imen Khanchel & Mghaieth, Asma, 2017. "Volatility spillover and hedging strategies between Islamic and conventional stocks in the presence of asymmetry and long memory," Research in International Business and Finance, Elsevier, vol. 39(PA), pages 595-611.
    3. Khan, Salman & Azmat, Saad, 2020. "Debt externality in equity markets: Leveraged portfolios and Islamic indices," International Review of Economics & Finance, Elsevier, vol. 69(C), pages 152-177.
    4. Ho, Catherine Soke Fun & Abd Rahman, Nurul Afiqah & Yusuf, Noor Hafizha Muhamad & Zamzamin, Zaminor, 2014. "Performance of global Islamic versus conventional share indices: International evidence," Pacific-Basin Finance Journal, Elsevier, vol. 28(C), pages 110-121.
    5. 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).
    6. Abba AHmed, Bello & Isah I, Salamatu & Aliyu Chika, Umar, 2019. "Risk Adjusted Performances of Conventional and Islamic Indices," MPRA Paper 104168, University Library of Munich, Germany, revised 26 May 2019.
    7. Al-Khazali, Osamah & Mirzaei, Ali, 2017. "Stock market anomalies, market efficiency and the adaptive market hypothesis: Evidence from Islamic stock indices," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 51(C), pages 190-208.
    8. Erragragui, Elias & Hassan, M. Kabir & Peillex, Jonathan & Khan, Abu Nahian Faisal, 2018. "Does ethics improve stock market resilience in times of instability?," Economic Systems, Elsevier, vol. 42(3), pages 450-469.
    9. Dash, Saumya Ranjan & Maitra, Debasish, 2018. "Does Shariah index hedge against sentiment risk? Evidence from Indian stock market using time–frequency domain approach," Journal of Behavioral and Experimental Finance, Elsevier, vol. 19(C), pages 20-35.
    10. Mehmet Asutay & Yumeng Wang & Alija Avdukic, 2022. "Examining the Performance of Islamic and Conventional Stock Indices: A Comparative Analysis," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 29(2), pages 327-355, June.
    11. Osamah AlKhazali & Hooi Hooi Lean & Taisier Zoubi, 2022. "The Size Anomaly in Islamic Stock Indices: A Stochastic Dominance Approach," IJFS, MDPI, vol. 10(4), pages 1-14, November.
    12. Audi, Marc & Sadiq, Azhar & Ali, Amjad, 2021. "Performance Evaluation of Islamic and Non-Islamic Equity and Bonds Indices: Evidence from selected Emerging and Developed Countries," MPRA Paper 109866, University Library of Munich, Germany.
    13. Haddad, Hedi Ben & Mezghani, Imed & Al Dohaiman, Mohammed, 2020. "Common shocks, common transmission mechanisms and time-varying connectedness among Dow Jones Islamic stock market indices and global risk factors," Economic Systems, Elsevier, vol. 44(2).

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