2021
DOI: 10.1108/imefm-01-2020-0007
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Impact of Brexit on Islamic stock markets: employing MGARCH-DCC and wavelet correlation analysis

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 Islami… Show more

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Cited by 2 publications
(1 citation statement)
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“…However, in the context of the given research, the MGARCH-DCC approach is preferred as it allows us to investigate the volatilities of each market and test dynamic correlations between markets. For instance, Çikiryel et al [ 35 ] used Multivariate Generalized Autoregressive Conditionally Heteroskedastic – Dynamic Conditional Correlation (MGARCH-DCC) and Wavelet analysis to test the impact of Brexit on the performance of Islamic stock markets. Karim et al [ 36 ] also employed the same two approaches to examine the dynamic comovements between oil and BRICS stock market returns.…”
Section: Methodsmentioning
confidence: 99%
“…However, in the context of the given research, the MGARCH-DCC approach is preferred as it allows us to investigate the volatilities of each market and test dynamic correlations between markets. For instance, Çikiryel et al [ 35 ] used Multivariate Generalized Autoregressive Conditionally Heteroskedastic – Dynamic Conditional Correlation (MGARCH-DCC) and Wavelet analysis to test the impact of Brexit on the performance of Islamic stock markets. Karim et al [ 36 ] also employed the same two approaches to examine the dynamic comovements between oil and BRICS stock market returns.…”
Section: Methodsmentioning
confidence: 99%