IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/112099.html
   My bibliography  Save this paper

Do islamic indices help portfolio diversification ? application of multivariate GARCH and wavelet coherence

Author

Listed:
  • Mukrim, Syahirah
  • Masih, Mansur

Abstract

The global financial crises have made investors rethink their strategies of diversifying their portfolios by allocating their assets/capitals into Islamic equities. The feature of investment based on real assets by the Islamic equity market has made the market more stable during financial turmoil and was seen as investment alternatives. This paper is a study on the performance of Islamic equity indices against that of the conventional indices counterparts on a risk-adjusted return basis and to explore on the opportunities for investors to diversify their portfolio using Islamic equities. The result shows that Islamic equity market index (Dow Jones Islamic) has lower risk as compared to their conventional counterpart of Dow Jones Global and lower return as compared to the benchmarked portfolio (MSCI World) based on the result of the alpha and beta. This shows an advantage to investors or fund manager who pursues a passive approach to managing their portfolios and they're not exposed to market timing ability skills. In addition to that, the results also show that investors and fund managers can diversify their portfolios by allocating their assets/funds in Islamic equities due to the low correlation with their conventional counterparts. Policymakers can also take advantage of this to loosen up their restrictions to foreign investment if there is any policy imposing capital control that is being exercised in their country.

Suggested Citation

  • Mukrim, Syahirah & Masih, Mansur, 2018. "Do islamic indices help portfolio diversification ? application of multivariate GARCH and wavelet coherence," MPRA Paper 112099, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:112099
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/112099/1/MPRA_paper_112099.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. repec:cii:cepiei:2014-q1-137-5 is not listed on IDEAS
    2. Fredj Jawadi & Nabila Jawadi & Waël Louhichi, 2014. "Conventional and Islamic stock price performance: An empirical investigation," International Economics, CEPII research center, issue 137, pages 73-87.
    3. 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.
    4. Mansur Masih & Nazrol K. M. Kamil & Obiyathulla I. Bacha, 2018. "Issues in Islamic Equities: A Literature Survey," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 54(1), pages 1-26, January.
    5. Mr. Jemma Dridi & Maher Hasan, 2010. "The Effects of the Global Crisison Islamic and Conventional Banks: A Comparative Study," IMF Working Papers 2010/201, International Monetary Fund.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Shahwahid, Muhammad & Masih, Mansur, 2018. "Macroeconomic determinants of islamic and conventional stocks: Malaysian evidence based on ARDL and NARDL approaches," MPRA Paper 114368, University Library of Munich, Germany.
    2. Aiman, Muhammad & Masih, Mansur, 2018. "Impact of macroeconomic factors on shariah and conventional stocks: Malaysian evidence," MPRA Paper 111736, University Library of Munich, Germany.
    3. Andrea Delle Foglie & Gianni Pola, 2021. "Make the Best from Comparing Conventional and Islamic Asset Classes: A Design of an All-Seasons Combined Portfolio," JRFM, MDPI, vol. 14(10), pages 1-17, October.
    4. Marei Elbadri & Eralp Bektaş, 2022. "Dynamic relationship among the bank stability, oil, and gold prices: Evidence from the Islamic banks operating in the Gulf Cooperation Council countries," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(2), pages 2153-2168, April.
    5. Azad, A.S.M.S. & Azmat, Saad & Chazi, Abdelaziz & Ahsan, Amirul, 2018. "Sailing with the non-conventional stocks when there is no place to hide," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 57(C), pages 1-16.
    6. Sherif, Mohamed, 2020. "The impact of Coronavirus (COVID-19) outbreak on faith-based investments: An original analysis," Journal of Behavioral and Experimental Finance, Elsevier, vol. 28(C).
    7. 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).
    8. Jaballah, Jamil & Peillex, Jonathan & Weill, Laurent, 2018. "Is Being Sharia compliant worth it?," Economic Modelling, Elsevier, vol. 72(C), pages 353-362.
    9. Mohamed Ali Trabelsi & Naama Trad, 2017. "Profitability and risk in interest-free banking industries: a dynamic panel data analysis," International Journal of Islamic and Middle Eastern Finance and Management, Emerald Group Publishing Limited, vol. 10(4), pages 454-469, October.
    10. Dharani, M. & Hassan, M. Kabir & Paltrinieri, Andrea, 2019. "Faith-based norms and portfolio performance: Evidence from India," Global Finance Journal, Elsevier, vol. 41(C), pages 79-89.
    11. Ibrahim, Mansor H., 2015. "Issues in Islamic banking and finance: Islamic banks, Shari’ah-compliant investment and sukuk," Pacific-Basin Finance Journal, Elsevier, vol. 34(C), pages 185-191.
    12. Fakhfekh, Mohamed & Hachicha, Nejib & Jawadi, Fredj & Selmi, Nadhem & Idi Cheffou, Abdoulkarim, 2016. "Measuring volatility persistence for conventional and Islamic banks: An FI-EGARCH approach," Emerging Markets Review, Elsevier, vol. 27(C), pages 84-99.
    13. Muhammad Anas & Ghulam Mujtaba & Sadaf Nayyar & Saira Ashfaq, 2020. "Time-Frequency Based Dynamics of Decoupling or Integration between Islamic and Conventional Equity Markets," JRFM, MDPI, vol. 13(7), pages 1-27, July.
    14. Muteba Mwamba, John W. & Hammoudeh, Shawkat & Gupta, Rangan, 2017. "Financial tail risks in conventional and Islamic stock markets: A comparative analysis," Pacific-Basin Finance Journal, Elsevier, vol. 42(C), pages 60-82.
    15. 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).
    16. Shumi Akhtar & Maria Jahromi & Tom Smith, 2017. "Impact of the global financial crisis on Islamic and conventional stocks and bonds," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 57(3), pages 623-655, September.
    17. Azmat, Saad & Azad, A.S.M. Sohel & Ghaffar, Hamza & Hayat, Aziz & Chazi, Abdelaziz, 2020. "Conventional vs Islamic banking and macroeconomic risk: Impact on asset price bubbles," Pacific-Basin Finance Journal, Elsevier, vol. 62(C).
    18. Czujack, Corinna & Flôres Junior, Renato Galvão & Ginsburgh, Victor, 1995. "On long-run price comovements between paintings and prints," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 269, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    19. Lisbeth Funding la Cour, 1995. "A Component® based Analysis of the danish Long-run Money Demand Relation," Discussion Papers 95-18, University of Copenhagen. Department of Economics.
    20. Muhammad Shahbaz & Vassilios G. Papavassiliou & Amine Lahiani & David Roubaud, 2023. "Are we moving towards decarbonisation of the global economy? Lessons from the distant past to the present," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(3), pages 2620-2634, July.

    More about this item

    Keywords

    Islamic indices; portfolio diversification; MGARCH; Wavelet;
    All these keywords.

    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
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:112099. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.