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Impact of Brexit on Islamic stock markets: employing MGARCH-DCC and wavelet correlation analysis

Author

Listed:
  • Burak Çıkıryel
  • Hakan Aslan
  • Mücahit Özdemir

Abstract

Purpose - This paper aims to study the co-movement dynamics of Islamic equity returns to explain international portfolio diversification opportunities for investors having a heterogeneous stock holding period in light of Brexit. Design/methodology/approach - The authors use the following three recent methodologies: the multivariate generalised autoregressive conditional heteroskedastic-dynamic conditional correlations, continuous wavelet transforms and maximum overlap discrete wavelet transform. Dow Jones Islamic country-based indexes are used from 2 September 2013 to 31 December 2019. Findings - There is a high correlation between the United Kingdom (UK) Islamic stock market return with the Canadian, USA, Malaysian and Indian implying lesser diversification benefits for the investors. However, the results tend to indicate that UK Islamic stock market investors who have allocated their investment in Sri Lanka, Kuwait, Japan and Turkey have enjoyed diversification benefits. Besides, there is a declining correlation between UK Islamic stock markets and other selected markets aftermath of Brexit. Turkey seems the most volatile stock over the period, appealing to risk-lover investors to gain from price changes. When the shock occurs in the financial sector, the volatility is mean-reverting faster than other markets in Sri Lanka. On the other hand, Malaysia appears to have the least volatility implying a stable financial sector. Research limitations/implications - The results tend to shed light on effective portfolio diversification benefits in light of the recent shock (Brexit) between the UK Islamic stock index and other selected indexes that vary from country to country depending on investment horizons. This critically confirms the significance of heterogeneity in investment horizons and provides significant inferences for portfolio diversification strategies. Originality/value - To the best of the authors’ knowledge, this study is the first study investigating the Brexit effect on Islamic stocks, guiding Shariah sensitive investors in their diversification strategies, providing information to investors to consider the implications of this incident on Islamic stocks for future shocks.

Suggested Citation

  • Burak Çıkıryel & Hakan Aslan & Mücahit Özdemir, 2021. "Impact of Brexit on Islamic stock markets: employing MGARCH-DCC and wavelet correlation analysis," International Journal of Islamic and Middle Eastern Finance and Management, Emerald Group Publishing Limited, vol. 15(1), pages 179-202, August.
  • Handle: RePEc:eme:imefmp:imefm-01-2020-0007
    DOI: 10.1108/IMEFM-01-2020-0007
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    Citations

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    Cited by:

    1. 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.

    More about this item

    Keywords

    Islamic finance; Wavelet correlation; Brexit; MGARCH-DCC; C58; G15; G11; Z12; C22;
    All these keywords.

    JEL classification:

    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • Z12 - Other Special Topics - - Cultural Economics - - - Religion
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

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