IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-03347374.html

From dotcom to Covid-19: A convergence analysis of Islamic investments

Author

Listed:
  • Christos Alexakis

    (Rennes SB - Rennes School of Business)

  • Dimitris Kenourgios

    (NKUA - National and Kapodistrian University of Athens)

  • Vasileios Pappas

    (Kent Business School, University of Kent)

  • Athina Petropoulou

    (SOAS, University of London)

Abstract

This paper goes beyond the extant comparisons of Islamic and conventional investments by econometrically assessing their convergence dynamics, in a dataset spanning over 1996-2020, covering ten business sectors and five episodes of crisis. We use a dynamic multivariate framework to estimate time-varying correlations, which we submit to beta and sigma-convergence analysis. Subsequently we examine how convergence dynamics affect portfolio risk management and crisis propagation. Our results show strong convergence of Islamic and conventional investments. During crises conventional convergence rates double, but Islamic ones are less affected. Sectoral diversification works best for conventional investments; Islamic ones behave as a single entity. On average we document a 7% risk diversification benefit from Islamic investments, at a 64 basis points cost. Yet, at the epicentre of the Covid-19 financial crisis this rises to 466 basis points and highlights the resilience of these investments in an exogenous event. Islamic investments reduce volatility spillovers in the financial system, but they are progressively less insulated across time. Our findings withstand a battery of robustness checks and are primarily useful to policy makers and investors.

Suggested Citation

  • Christos Alexakis & Dimitris Kenourgios & Vasileios Pappas & Athina Petropoulou, 2021. "From dotcom to Covid-19: A convergence analysis of Islamic investments," Post-Print hal-03347374, HAL.
  • Handle: RePEc:hal:journl:hal-03347374
    DOI: 10.1016/j.intfin.2021.101423
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Cui, Jinxin & Maghyereh, Aktham, 2024. "Unveiling interconnectedness: Exploring higher-order moments among energy, precious metals, industrial metals, and agricultural commodities in the context of geopolitical risks and systemic stress," Journal of Commodity Markets, Elsevier, vol. 33(C).
    2. Akbar, Muhammad & Ullah, Ihsan & Ali, Shahid & Rehman, Naser, 2024. "Adaptive market hypothesis: A comparison of Islamic and conventional stock indices," International Review of Economics & Finance, Elsevier, vol. 89(PA), pages 460-477.
    3. Sahoo, Satyaban, 2024. "Harmony in diversity: Exploring connectedness and portfolio strategies among crude oil, gold, traditional and sustainable index," Resources Policy, Elsevier, vol. 97(C).
    4. Dibooglu, Sel & Cevik, Emrah I. & Tamimi, Hussein A. Hassan Al, 2022. "Credit default risk in Islamic and conventional banks: Evidence from a GARCH option pricing model," Economic Analysis and Policy, Elsevier, vol. 75(C), pages 396-411.
    5. Xin Jin & Bisharat Hussain Chang & Chaosheng Han & Mohammed Ahmar Uddin, 2025. "The tail connectedness among conventional, religious, and sustainable investments: An empirical evidence from neural network quantile regression approach," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 30(2), pages 1124-1142, April.
    6. Selmi, Refk & Wohar, Mark & Deisting, Florent & Kasmaoui, Kamal, 2023. "Dynamic inflation hedging performance and downside risk: A comparison between Islamic and conventional stock indices," The Quarterly Review of Economics and Finance, Elsevier, vol. 91(C), pages 56-67.
    7. Polyzos, Efstathios, 2022. "Examining the asymmetric impact of macroeconomic policy in the UAE: Evidence from quartile impulse responses and machine learning," The Journal of Economic Asymmetries, Elsevier, vol. 26(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • C30 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - General
    • F36 - International Economics - - International Finance - - - Financial Aspects of Economic Integration
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • P51 - Political Economy and Comparative Economic Systems - - Comparative Economic Systems - - - Comparative Analysis of Economic Systems
    • Z12 - Other Special Topics - - Cultural Economics - - - Religion

    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:hal:journl:hal-03347374. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    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.