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This paper aims to compare and analyse the aspects of Shariah screening methodologies within the selected Gulf Cooperation Council (GCC) countries as well as comparing the methodologies with the USA, and to examine how Shariah screening methodologies affect financing and investing activities of a firm.

Shariah screening methodologies within the selected GCC countries and between the GCC countries and the USA are compared on the basis of the data collected from secondary sources.

Design, qualification and Shariah governance set the Shariah screening methodologies within the GCC countries apart. Feasibility, duration, economic viability and funds required differentiate these Shariah screening methodologies between the GCC countries and the USA. Shariah screening methodologies implied in the USA is more stringent than in the GCC countries.

The suggestions in this study include using a longer research timeline, examining many more number of countries’ Shariah screening methodologies and exploring other types of Shariah screening methodologies.

The possibility of generalising the implementation of strict and uniform Shariah screening methodologies across all the country-specific Shariah indices amongst Muslim nations, globally, is likely to benefit all the Muslim countries, by strengthening the understanding, interaction and economic co-operation amongst these countries.

People’s needs can be tended to if Maqasid Al-Shariah (objectives of Shariah) is achieved through flexibility, dynamism and creativity within the social policy.

Aspects of Shariah screening methodologies are compared and contrasted within the selected GCC countries as well as between the GCC countries and the United States and the role of Shariah screening methodologies is examined in order to determine the extent of what is Shariah-Compliant and what is Non-Shariah Compliant for a firm.

This study aims to investigate the transmission of shock between the oil market and the Islamic and conventional stock markets of the Gulf Cooperation Council (GCC) countries during the oil shocks of 2008 and 2014.

This study uses two models. First, the dynamic conditional correlation–generalized autoregressive conditionally heteroskedastic model has been used to capture the fundamental contagion effects between the oil market and the Islamic and conventional stock markets during the tranquil and turmoil-crisis periods of 2008-2014. Second, the filter of Kalman has been used to capture the effects of pure contagion between the oil market and the GCC Islamic and conventional stock markets. The authors analyze the dynamic correlation between forecasting errors of oil returns and stock returns of GCC Islamic and GCC conventional indices.

The main findings of this investigation are: first, the estimation of the dynamic conditional correlation– generalized autoregressive conditionally heteroskedastic model for oil market and the Islamic and conventional stock markets proves that the Islamic and conventional stock markets and oil market displayed a significant increase in the dynamic correlation during the turmoil period, from mid-2008 and mid-2014. This proves the existence of contagion between the markets studied. Second, the authors analyze the dynamic correlation between forecasting errors of oil returns and stock returns of GCC Islamic and GCC conventional indices. They show a strong increase in the correlation coefficients between the oil market and the conventional GCC stock markets, and between the conventional and Islamic GCC stock markets during the oil crisis of 2014. However, there is no change in regime in the figure of the correlation coefficient between the oil market and the GCC Islamic stock markets during the 2008 financial crisis. This pure contagion is mainly attributed to the herding bias in 2014 oil crisis.

This study contributes to identifying the contribution of herding bias on the volatility transmission between the oil markets, and the GCC Islamic and conventional stock market, especially during two controversial shocks: the 2008 oil-price increase and the 2014 oil drop.

This study explores the price and trading volume effects around the quarterly Dow Jones Islamic Market-GCC index (DJIM-GCC) revisions and investigates whether these reactions are driven by firms' fundamentals or by investors' perception of ethical screening.

The authors adopt an event study methodology to analyze the price and volume effects of Islamic indices redefinitions.

The results exhibit a positive (negative) price reaction for added (deleted) stocks. The authors also document an asymmetric volume response for index additions and deletions. The multivariate analysis of the cumulative abnormal returns reveals that the documented market reaction around Islamic index revisions is mainly related to the compliance attribution (withdrawal).

The approach allows to separate the market reaction arising from changes in firms' fundamentals from that induced by investors' perception of the attribution or withdrawal of a compliance certification. Moreover, the focus on the GCC region, where countries share the same cultural traits and perceive Islamic law identically excludes any social effect that would influence the market reaction due to cultural differences between countries.

The purpose of this paper is to present the Islamic stock and Sukuk market efficiency and focus on the presence of investor herding behaviour (HB) captured by Hurst exponent estimation.

The Hurst exponent was estimated with various methods. The authors studied the evolving efficiency of the “Dow Jones” indices from 1 January 2010 to 30 December 2016 using a rolling sample of the Hurst exponent. In addition, they used a time-varying parameter method based on the Hurst of delayed returns. After that, the robust Hurst method was considered. In the next step, the efficiency of the different activity types of Islamic bonds was studied using an efficiency index. Finally, the Hurst exponent estimates were applied to assess the presence of HB.

The results show that, firstly, there’s a strong correlation between the “DJIM” and “DJSI” prices and returns. Secondly, by using robust Hurst estimate, it is observed that the “DJIM” is the most efficient market. The Hurst exponent estimation results show that HB is more intensive in the Islamic stock market. These results indicate also the inexistence of this behaviour in the studied Sukuk market.

Sukuk as Islamic financial assets is recent. Their relative time series are not long enough to apply the long memory approach. Furthermore, this work can be extended to study other Islamic financial markets.

Herding affects risk-return characteristics of assets and has an impact on asset pricing models. Practitioners are interested in understanding herding and its timing as it might create profitable trading opportunities.

This work analyses the impact of Islamic principles on the financial markets and their ability to understand some behavioural biases.

This study contributes to the literature by identifying the efficiency and the presence of HB with Hurst exponent estimation in Islamic markets.

This paper aims to analyse the opportunity of an exclusive investment in the DJ Islamic indexes. The objective is to characterize the links between MENA region index with seven DJ Islamic indexes.

A co-movement analysis was conducted to assess whether there is a safe investment during crisis. The VECM verifies the existence of a long run association. The MGARCH-DCC characterizes the dynamic links. The wavelet coherence detects a correlation in a time-frequency domain, which is relevant to set up a diversification strategy based on investment horizons.

Despite the existence of a long run association between the Islamic indexes, diversification opportunities are present. The MGARCH-DCC results recommend including the USA, Canada and Emerging Markets indexes with the Mena index to get diversification benefits. The Wavelet coherence confirms these results for 0 to 16 days holding period and more than six-months’ investment horizons. Hence, MENA portfolio managers should not invest in Europe, UK and Emerging Markets indexes.

This study focused only on the bivariate correlation analysis without taking into consideration multivariate relationships. Future research should use multiple wavelet coherence and explore S&P Shariah indexes.

This work is important for investors searching for assets governed by sharia rules, who reject resorting to conventional markets, and policy makers dealing with coordination costs. They would be able to formulate strategies based on the different indexes’ relationships.

This paper enriches the limited stream of literature focusing only on Islamic indexes. Due to the important development of Islamic Finance in each MENA country, the authors shed the light on this Region’s index.

The purpose of this paper is to examine the herding behavior in GCC Islamic stock markets.

The authors followed the methodology developed by Chiang and Zheng (2010) to test herding behavior. Cross-sectional tests have been considered in this paper. The authors use both OLS and GARCH estimations to examine herding behavior by using a sample of GCC Islamic stock markets.

By applying monthly data for the period between January 2006 and February 2016 for five Islamic GCC stock returns (Bahrain, Kuwait, Qatar, Saudi Arabia and UAE), results suggest a significant evidence of herd behavior in Saudi and Qatari Islamic stock markets only. When the authors take into account the existence of asymmetry in herd behavior between down- and up-market periods, evidence of herding behavior during down market periods in the case of Qatar and Saudi Arabia was found. In addition, the authors found that Kuwaiti and Emirates Islamic stock markets herd with the local conventional stock market, showing the interdependencies between Islamic and conventional markets.

In this paper, the authors found an absence of herding behavior in some Islamic stock markets (Bahrain, Kuwait and Emirates). This is not the result of Shariah guidelines in these Islamic markets, but this is mainly due to the weak oscillations of returns which are very close to zero. In our future research, the authors could apply daily data and compare the results to those obtained in this paper by using monthly data.

This paper provides a practical framework in order to analyze the herding behavior concept for GCC Islamic stock markets. Its originality consists of linking the herding behavior to ethics and morality to verify whether the properties and guidelines of Islam are respected in Islamic stock markets. To the best of the authors’ knowledge, no other paper has treated the case of herding behavior in Islamic stock markets and taking into account the possible influence of the conventional market on the Islamic stock market that may impact herding behavior.

Market links (and price discovery) between financial assets and lead–lag relationships are topics of interest for financial economists, financial managers and analysts. The lead–lag relationship analysis should consider both short and long-term investors. From a portfolio diversification perspective, the first type of investor is generally more interested in determining the co-movement of financial assets at higher frequencies, which are short-run fluctuations, while the latter concentrates on the relationship at lower frequencies, or long-run fluctuations. The paper aims to discuss these issues.

For this study, a technique was employed known as the wavelet approach, which has recently been imported to finance from engineering sciences to study the co-movement dynamics between global sukuk and bond markets. Data cover the period from January 2010 to December 2015.

The results indicate that: there is no unidirectional causality from developed market bond indices to Malaysia and Dow Jones indices, which is promising for fixed-income investors of a developed market; and in relation to emerging markets, the Malaysian sukuk market has a bidirectional causality with Indonesia, Malaysia, India and South Korea bond indices but not China bond indices, while in terms of the Dow Jones sukuk index, there is no unidirectional causality between the listed emerging markets and the sukuk index except Indonesia’s market during the sample period.

This analysis provides evidence regarding the timely and appropriate measure of correlation changes and the behaviour of sukuk and bond indices globally, which is beneficial to the management of sukuk and bond portfolios.

The evidence hitherto unexplored, which was produced by the application of a wavelet cross-correlation amongst the selected sukuk and bond indices, provides robust and useful information for international financial analysts as well as long and short-term investors.

There is a great deal of research that has been done to investigate the investment characteristics of conventional socially responsible investment portfolios compared to their broader conventional counterparts. However, the impact of incorporating sustainability criteria into the traditional Sharia screening process has not so far been investigated. Therefore, the study aims to give empirical evidence as to whether or not incorporating sustainability socially responsible criteria in the traditional Sharia screening process has a significant impact on the investment characteristics of the Islamic investment portfolio.

The paper examines the investment characteristics of four groups of investment portfolios mainly, Dow Jones Global Index, Dow Jones Sustainability World Index, Dow Jones Islamic Market World Index and Dow Jones Islamic Market Sustainability Index. To improve the robustness of the study, the analysis was carried out at different levels. First, absolute mean return and t‐test were used to examine whether the difference between the different groups of investments is statistically significant or not. Second, risk adjusted equilibrium models, both single‐index and Fama and French multi‐index, were employed. This is to control for different risk exposure and investment style bias associated with different investment portfolios examined.

The paper finds that neither the Sharia nor the sustainability screening process seems to have an adverse impact on the performance and systematic risk of the investment portfolios compared to their unrestricted conventional counterparts. Therefore, Muslim as well as socially responsible investors can choose investments that are consistent with their value systems and beliefs without being forced to sacrifice performance or expose to higher systematic risk.

The study contributes to the existing literature by giving new evidence on the impact of incorporating sustainability criteria into the traditional Sharia screening process that has not so far been investigated.

This paper aims to investigate the connectedness of Islamic Stock Markets in five regional financial systems, namely, the United States, the United Kingdom, Europe (EU), GCC (Gulf Cooperation Council) and APAC (Asia-Pacific Countries), and across different asset classes (i.e. bonds, gold and crude oil).

This methodology is inspired by Diebold and Yilmaz (2012) and Barunlik and Krehlik (2017) for performing dynamic variance decomposition network and for studying time–frequency dynamics of connectedness at different frequencies.

Results show that the nature of connectedness over the past decade is time–frequency dynamics. The decomposition of the total volatility spillovers is mostly dominated by the long-run component. Furthermore, dominant regions are the largest contributors of spillover index, with the lowest contribution in the system coming from the GCC market. Results also reveal a slightly higher volatility spillover index of Islamic than conventional equity indexes. Finally, the system that encompasses commodities and Islamic finance instruments, generates the much lower volatility spillover.

The findings have significant implications for portfolio managers who are interested in being able to predict asset returns, as well as for policymakers who are concerned with market stability.

This paper aims to examine the dynamic spillover effects and network connectedness between the oil prices and the Islamic and conventional financial markets in the Gulf Cooperation Council countries. The focus is on network connectedness during the 2008–2009 global financial crisis, the 2014–2016 oil crisis and the COVID-19 pandemic. The authors use daily data covering the period from January 1, 2007 to April 14, 2022.

This study applies a spillover analysis and connectedness network to investigate the risk contagion among the Islamic and conventional stock–bond markets. The authors rely on Diebold and Yilmaz’s (2012, 2014) methodology to construct network-associated measures.

The results suggest that overall connectedness among financial market uncertainties increased during the global financial crisis, the oil price collapse of 2014–2016 and the COVID-19 crisis. In addition, the authors show that the contribution of oil shocks to the financial system is limited, as the oil market was a net receiver during the 2014 oil shock and the COVID-19 crisis. On the other hand, the Islamic and conventional stock markets are extensive sources of network effects on the oil market and Islamic and conventional bond markets. Furthermore, the authors found that the Sukuk market was significantly affected by the COVID-19 pandemic, whereas the conventional and Islamic stock markets were the highest transmitters of shocks during the COVID-19 pandemic outbreak. Moreover, oil revealed a weak connectedness with the Islamic and conventional stock markets during the COVID-19 health crisis, implying that it helps provide diversification benefits for international portfolio investors.

This study contributes to this field by improving the understanding of the effect of fluctuations in oil prices on the dynamics of the volatility connection between oil and Islamic and conventional financial markets during times of stress through a network connectedness framework. The main results of this study highlight the role of oil in portfolio allocation and risk minimization when investing in Islamic and conventional assets.