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The purpose of this study is to investigate the effect of financial performance (FP) and governance on the accounting and auditing organization for Islamic financial institutions (AAOIFI) disclosure for the Islamic banks.

The authors used the generalized least squares (GLS) estimation for 47 MENASA (Middle East, North Africa and Southeast Asia) Islamic banks (IBs) between 2012 and 2019. In this regression, disclosure is the endogenous variable. The performance and governance measures are the explanatory parameters. The authors use bank's size, leverage and age for control parameters. The robustness of results is verified via generalized method of moments (GMM) estimation method.

The findings indicate that performance measurement has weak effects on AAOIFI disclosure. Only the net interest margin (NIM) measure has a significant positive impact. The return of assets (ROA) and the return on equity (ROE) have a significant negative impact. Furthermore, all Shariah Governance measures have significant effects. Finally, the findings of this study support the governance's positive contribution to the disclosure in IBs.

Through including the whole issues allied to AAOIFI and their impacts on the banks' value, this study provides a significant summary for IBs, policymakers, regulators, AAOIFI and connected authorities across countries. In addition, the findings linked powers between jurisdictions with recommendations on growing the present AAOIFI practices.

This paper offers an original contribution to the accounting professionals and stakeholders who investigate the relationship between disclosure, performance and governance. It is considered as a basis for future studies in the simultaneous relation between these variables. It is crucial for accounting professionals, researchers and stakeholders interesting in the financial disclosure (FD) in IBs.

The purpose of this study is to examine the nonlinear relationship between institutional quality and bank liquidity creation and to analyze whether the impact of institutional quality on liquidity creation depends on the level of institutional quality or not.

This study is based on a sample of 126 Middle East/North Africa (MENA) region banks for the period extending from 2006 to 2020. To deal with the nonlinearity, we apply a dynamic panel threshold method.

Using six different indicators of institutional quality, the results reveal that the impact of the institutional quality on liquidity creation depends on the level and the indicator of institutional quality. While control of corruption, government effectiveness and regulatory quality have positive (negative) effects below (above) the threshold value, political stability has a positive impact below and above the threshold value. Regarding the role of law and voice and accounting, only significant negative impact above the threshold value is found.

The research findings have important implications for policymaking. It suggests that institutional quality may have the potential to reduce liquidity creation rather than increase it. As a result, policymakers should work on providing an optimal level of institutional quality that promotes bank liquidity creation as a means to stimulate economic growth.

This paper is among the first studies, to the best of the authors’ knowledge, to examine the nonlinear relationship between institutional quality and bank liquidity creation using a dynamic panel threshold model.

The objective of this research is to determine the influence of solvency and liquidity on the profitability [return on assets (ROA)] of Tunisian banks from Q2-2020 to Q3-2022 by considering asset quality as a moderating variable.

This study uses data on liquidity, solvency, ROA and asset quality for 12 banks. It also considers bank size, gross domestic product (GDP) growth and inflation as control variables. The methodology is based on panel data with generalized least squares (GLS) estimation to assess the moderate influence of the asset quality on solvency, liquidity and ROA. Also, the generalized method of moments (GMM) estimation is used as a robustness test.

The results of the GLS model estimation indicated a negatively significant moderating correlation between the liquidity and the solvency. The data from the GMM model indicate that the liquidity variable predicted by the liquidity has a positively significant influence on a bank's ROA as well as for the solvency variable, which is predicted by the capital capacity. Therefore, we conclude that these two variables had a positively significant impact on the ROA.

The studies have many implications for banks and their management in addition to the industry regulators. The results of this study will enable political decision-makers to determine the banks' profits based on their liquidity and solvency.

This analysis provides financial explanations and recommendations for stakeholders in Tunisian banks. Furthermore, these banks must also be able to maintain their liquidity and solvency to ensure their profits in times of COVID-19.

The objective of this paper is twofold. First, to study the safe-haven characteristic of the Islamic stock indexes and Ṣukūk during the crises time. Second, to evaluate this property in the last pandemic. This study employs the daily dataset from June 15, 2015, to June 15, 2020, for the most affected countries by the earlier disease.

This study uses the Markov-switching Capital Asset Pricing Model (CAPM) approach and the basic CAPM for the main analysis and the safe haven index (SHI) recently developed by Baur and Dimpfl (2021) for the robustness test.

Based on Baur and Lucey's (2010) definition, empirical findings indicate that Islamic stock indexes cannot be a refuge throughout the crisis regime for all selected conventional markets. However, Ṣukūk are a strong refuge in Brazilian, Russian and Malaysian markets. For the remainder countries, except Italy, the USA and Spain, the Ṣukūk index offers weak protection against serious conventional market downturns. Similar conclusions are obtained during the COVID-19 global crisis period. Finally, results are confirmed by using the SHI.

To the best of the authors’ knowledge, this paper is the first study that evaluates the safe haven effectiveness of the Islamic index and Ṣukūk using the SHI in the most impacted countries by the COVID-19 outbreak.

This paper aims at examining the co-movement dependent regime and causality relationships between conventional and Islamic returns for emerging, frontier and developed markets from November 2008 to August 2020.

First, the authors used the Markov-switching autoregression (MS–AR) model to capture the regime-switching behavior in the stock market returns. Second, the authors applied the Markov-switching regression and vector autoregression (MS-VAR) models in order to study, respectively, the co-movement and causality relationship between returns of conventional and Islamic indexes across market states.

Results show the presence of two different regimes for the three studied markets, namely, stability and crisis periods. Also, the authors found evidence of a co-movement relationship between the conventional and Islamic indexes for the three studied markets whatever the regime. For the Granger causality, it is proved only for emerging and developed markets and only during the stability regime. Finally, the authors conclude that Islamic indexes can act as diversifiers, or safe-haven assets are not strongly supported.

This paper is the first study that examines the co-movement and the causal relationship between conventional and Islamic indexes not only across different financial markets' regimes but also during the COVID-19 period. The findings may help investors in making educated decisions about whether or not to add Islamic indexes to their portfolios especially during the recent outbreak.

The purpose of this paper is to investigate the impact of the COVID-19 pandemic on the financial performance and stability of Islamic banks (IBs) in the Middle East, North Africa and Southeast Asia (MENASA) region.

The sample consists of 50 IBs across 13 MENASA countries. The data covers 11 quarters, starting in Q1 2019 and ending in Q3 2021, and are collected from banks’ quarterly reports. The authors proxy financial performance by three measures, namely, return on assets (ROA), return on equity (ROE) and cost-to-income (Cost/Income). For financial stability, the authors use two indicators: insolvency risk (log Z-score) and asset risk (ROA/SDROA). The methodology is based on the generalized least squares method estimation.

The results showed a significant and negative impact of COVID-19 on two performance measures of IBs (ROA and ROE) suggesting that IBs were significantly affected during the earlier pandemic. As well, the authors found strong evidence of the impact of COVID-19 on the insolvency risk and asset risk of the studied banks.

The study of COVID-19’s impact on the performance and stability of IBs in MENASA countries permits the banks’ regulators and policymakers to ameliorate the banks’ financial performance and reinforce their supervisory actions. Also, it gives them assistance to guarantee the financial stability of these banks in times of crisis.

This study provides significant financial information and policy implications for stakeholders involved in the banking sector in MENASA countries. Consequently, IBs must guarantee their profits and stability to ensure their competitiveness versus conventional banks during the period of crisis.

This study aims at investigating the impact of the disclosure and the Shariah governance on the financial performance in MENASA (Middle East, North Africa and Southeast Asia) Islamic banks.

We use the Generalized Least Squares (GLS) regression models to check the interdependence relationship between the disclosure, the Shariah governance and the financial performance of 47 Islamic banks (IBs) from ten countries operating in MENASA region. The sample period is from 2012 to 2019. In these regressions models, Return on Assets (ROA) and Return on Equity (ROE) are the dependent variables. The disclosure and the Shariah governance indicators are the independent factors. To measure the Shariah governance, we use the three sub-indices, which are the Board of Directors (BOD), the Audit Committee (AC) and the Shariah Supervisory Board (SSB). Size, Leverage and Age of the bank are used as control variables. We also used The Generalized Method of Moments (GMM) and the three-stage least squares (3SLS) estimations for robustness check.

Result shows a negative relationship between the disclosure and the two performance measures in IBs. Furthermore, as far as the governance indicators are concerned, we found that the BOD and AC, as well as the BOD and SSB, have a positive and significant impact on the ROA and ROE, respectively. This reveals that good governance had a significant association with higher performance in MENASA IBs.

The paper considers both IBs that adopt mandatory as well as voluntary AAOIFI standards and the GLS method to investigate the impact of the AAOIFI disclosure and the Shariah governance on ROA and ROE. Also, it uses the GMM and the 3SLS estimations for robustness check. It is relevant for researchers, policymakers and stakeholders concerned with IBs' performance.

This paper investigates the relative importance of local macroeconomic and global factors in the explanation of twelve MENA (Middle East and North Africa) stock market returns across the different quantiles in order to determine their degree of international financial integration.

The authors use both ordinary least squares and quantile regressions from January 2007 to January 2018. Quantile regression permits to know how the effects of explanatory variables vary across the different states of the market.

The results of this paper indicate that the impact of local macroeconomic and global factors differs across the quantiles and markets. Generally, there are wide ranges in degree of international integration and most of MENA stock markets appear to be weakly integrated. This reveals that the portfolio diversification within the stock markets in this region is still beneficial.

This paper is original for two reasons. First, it emphasizes, over a fairly long period, the impact of a large number of macroeconomic and global variables on the MENA stock market returns. Second, it examines if the relative effects of these factors on MENA stock returns vary or not across the market states and MENA countries.

This paper aims to investigate whether Islamic indexes, Bitcoin and gold still act as hedges or/and “safe-haven” assets during the COVID-19 pandemic crisis. This paper examines the role of the Morgan Stanley Capital International all-country world index, Islamic index, gold and Bitcoin as a hedge or safe-haven asset for the world conventional stock market over the period from April 30, 2015 to March 27, 2020.

In this paper, the authors re-evaluate the hedge and safe haven properties of Islamic indexes, gold and Bitcoin following Baur and Lucey’s (2010) and Baur and McDermott’s (2010) methodology.

Empirical results show that the Islamic index is not a hedge or a safe haven asset for the world conventional stock market during the recent coronavirus crisis period. Different from the whole period, the authors find that gold is a strong hedge but only a weak safe or is not a safe haven during the coronavirus sub-period. Bitcoin reports distinctive properties, as it acts as a weak hedge and not a safe-haven asset.

This paper is the first study that investigates whether the global Islamic index still acts as hedges or “safe-haven” assets during the new COVID-19 crisis period. The results can help investors make informed decisions when adding cryptocurrencies and Islamic indexes to their portfolios during the coronavirus crisis.

This paper aims to investigate the hedge, safe-haven and diversifier properties of Islamic indexes, Bitcoin and gold for ten of the most affected countries by the coronavirus, which are the USA, Brazil, the UK, Italy, Spain, Germany, France, Russia, China and Malaysia.

This research uses the Ratner and Chiu (2013) methodology based on the dynamic conditional correlation models to improve Baur and McDermott (2010). The authors adopt a careful investigation of the features of a diversifier, hedge and safe haven using the dynamic conditional correlation–GARCH and quantile regression models.

Empirical results indicate that Islamic indexes are not considered as hedge assets for the conventional market for all studied countries during the COVID-19 pandemic crisis period. However, gold works as a strong hedge in all countries, except for Brazil and Malaysia. Bitcoin is a strong hedge in the USA and a strong hedge and safe haven in China.

International investors in China and the US stock markets should replace Islamic ‎indexes with Bitcoin in their conventional portfolio of securities during the pandemic.

To the best of the authors’ knowledge, this is the first paper that re-evaluates the hedge, safe-haven and diversifier properties of Islamic indexes, Bitcoin and gold for ten of the most affected countries by the coronavirus.