Search results

This paper aims to investigate the impact of audit mechanisms on earnings management (EM) practices in listed Saudi Arabian companies. Specifically, it examines the association between audit committee (AC) characteristics, external audit quality and EM before and after the revision of Saudi Regulations on Corporate Governance (SRCGs) in 2017.

The study analyzes a data set comprising 135 Saudi-listed companies observed from 2013 to 2020. EM practices are measured using the absolute value of discretionary accruals, and external audit quality is assessed by the involvement of BIG 4 auditors. The authors also consider four variables to gauge AC characteristics: independence, size, meeting frequency and expertise. To test the hypotheses, the authors use multivariate regression on panel data.

The findings provide robust evidence regarding the impact of audit mechanisms on EM practices. The presence of accounting and finance experts within the AC is shown to have a substantial and statistically significant effect in reducing EM practices. Similarly, AC independence demonstrates a negative association with EM after the implementation of the SRCGs 2017. However, the study does not uncover any statistically significant impact of AC size and meeting frequency on EM practices. Moreover, the research highlights a noteworthy positive relationship between EM practices and engagement with BIG 4 audit firms before the SRCGs 2017. However, this relationship ceases to exist following the regulatory amendment.

The practical implications of this research are significant for policymakers and companies operating in Saudi Arabia, as well as for practitioners and auditors working in the region. The findings underscore the importance of high-quality auditing work to prevent EM practices and promote transparent financial reporting. The study recommends increasing the number of independent members and financial experts on the AC, as well as rigorous monitoring of AC size and meetings. It also emphasizes the need for compliance with governance regulations to focus on effective monitoring of the AC rather than mere fulfillment of requirements.

The study enhances the existing literature on the effectiveness of ACs and external audit quality in mitigating EM by providing evidence from a unique and Islamic context that has not been extensively studied before. This can help in validating or challenging the findings of previous studies and provide a more comprehensive understanding of the factors that impact EM in different contexts.

This study aims to test the presence of herding behavior in commodity markets, including energy, metals and agriculture. Additionally, the authors investigate the possible asymmetric effect of oil price changes on the herding behavior in these markets.

The authors examine herding based on the cross-sectional absolute deviation (CSAD) model in a static and time-varying perspective.

By using daily data over the period 2003–2017, the authors’ findings firstly support the dynamic nature of investor behavior in commodity markets, which oscillates between antiherding during the normal period and herding during and after the global financial crisis of 2008. Furthermore, results highlight that the asymmetric impact of oil shocks on herding differs across commodity sectors and periods. Additionally, herding seems to be more pronounced when the oil market declines, which may be due to the pessimistic investors' sentiments.

This study provides insight into what factors influence herd behavior in commodity markets. The understanding of factors driving herding aids investors to avoid the impact of this behavior and its consequences

To the authors’ knowledge, this study is the first to examine whether the level of herding depends on the oil price fluctuations, as well as the asymmetric effect of the oil price on herding behavior in commodity markets.

The purpose of this paper is to build a class model to confirm the authenticity of olives from Bi'r al Malluli, Tunisian region, in order to obtain the Designation of Origin (DO).

In total, ten orchards of Chemlali olive oil variety were chosen, in Sfax region, characterized by the same applied cultural techniques. Pomological characters of olives, fatty acids composition and organoleptic analysis of olive oil were conducted.

Results showed that the pomological characters were specific of the Chemlali variety: the olive weight ranged from 0.9 to 1.10 g in all studied orchards and the water content (WC) ranged from 41.45 to 57.68 per cent. All analysed oils showed good fatty acids balance. Chemlali olive oil contains high amounts of oleic acid and a smaller amount of linoleic acid. The oleic acid content ranged from 57.96 to 63.52 per cent according to the orchards. All oils having oleic acid higher than 55 per cent are categorized as extra virgin olive oil based on International Olive Oil Council (IOOC) Norma. Based on the organoleptic analysis, all the analysed oils were classified as an extra virgin olive oil. The principal component analysis applied separately on olive characters and fatty acids contents do not indicate any group's structure.

An objective approach based on pomologic, sensory and acidic composition analyses would be used to delimitate Protected Designation of Origin (PDOs) in olive oil from the Bi'r al Malluli area and better protect their markets.

This article unveils first the lead–lag structure between the confirmed cases of COVID-19 and financial markets, including the stock (DJI), cryptocurrency (Bitcoin) and commodities (crude oil, gold, copper and brent oil) compared to the financial stress index. Second, this paper assesses the role of Bitcoin as a hedge or diversifier by determining the efficient frontier with and without including Bitcoin before and during the COVID-19 pandemic.

The authors examine the lead–lag relationship between COVID-19 and financial market returns compared to the financial stress index and between all markets returns using the thermal optimal path model. Moreover, the authors estimate the efficient frontier of the portfolio with and without Bitcoin using the Bayesian approach.

Employing thermal optimal path model, the authors find that COVID-19 confirmed cases are leading returns prices of DJI, Bitcoin and crude oil, gold, copper and brent oil. Moreover, the authors find a strong lead–lag relationship between all financial market returns. By relying on the Bayesian approach, findings show when Bitcoin was included in the portfolio optimization before or during COVID-19 period; the Bayesian efficient frontier shifts to the left giving the investor a better risk return trade-off. Consequently, Bitcoin serves as a safe haven asset for the two sub-periods: pre-COVID-19 period and COVID-19 period.

Based on the above research conclusions, investors can use the number of COVID-19 confirmed cases to predict financial market dynamics. Similarly, the work is helpful for decision-makers who search for portfolio diversification opportunities, especially during health crisis. In addition, the results support the fact that Bitcoin is a safe haven asset that should be combined with commodities and stocks for better performance in portfolio optimization and hedging before and during COVID-19 periods.

This research thus adds value to the existing literature along four directions. First, the novelty of this study lies in the analysis of several financial markets (stock, cryptocurrencies and commodities)’ response to different pandemics and epidemics events, financial crises and natural disasters (Correia et al., 2020; Ma et al., 2020). Second, to the best of the authors' knowledge, this is the first study that examine the lead–lag relationship between COVID-19 and financial markets compared to financial stress index by employing the Thermal Optimal Path method. Third, it is a first endeavor to analyze the lead–lag interplay between the financial markets within a thermal optimal path method that can provide useful insights for the spillover effect studies in all countries and regions around the world. To check the robustness of our findings, the authors have employed financial stress index compared to COVID-19 confirmed cases. Fourth, this study tests whether Bitcoin is a hedge or diversifier given this current pandemic situation using the Bayesian approach.

The purpose of this paper is to comparatively examine the cost and the overlooked revenue efficiency of Islamic and commercial banks in the aftermath of the crisis, operating in nine MENA-based countries during the 2010-2017 financial period, where the established empirical work is relatively limited. The authors also update the research where they use recent data sets and they provide for a targeted, structured literature review pre- and post-crisis in the Gulf region.

The authors examine cost and revenue efficiency of 25 major Islamic banks (IBs) and 25 major conventional banks (CBs). They conduct tests on the determinants of such variables. In the first stage of the analysis, they measure efficiency by using the data envelopment analysis (DEA) technique. The analysis performs regressions where these also reveal that the bank efficiency index is influenced by various bank type-specific attributes. It also seems that tighter restrictions on bank activities are negatively associated with bank efficiency. Second stage analysis, which accounts for banking environment and bank-level characteristics, confirms these results.

Conventional banks are both more cost and revenue efficient than Islamic banks over the period under examination. The analysis also reveals that the bank efficiency index is influenced by bank-type attributes. Greater presence of fixed capital resources has positive effects on growth in both Islamic and conventional banking. The major constraints impeding Islamic banking growth include labour costs. The authors examine whether and how bank-type orientation affects the cost and revenue efficiency of conventional and Islamic banks. They find that post-crisis Islamic banks underperform their conventional counterparts on both accounts within a mixed banking system.

This study did not include comparative data before the 2008 financial crisis. There is also a great deal of heterogeneity among Islamic banks in the samples that have been examined here and by other researchers and the constructed efficiency scores should be interpreted cautiously as divergent Islamic banks are pooled in the same samples.

This study identified factors that may help bank managers to improve their financial outlook by controlling revenue and cost efficiency profitability. These factors could as well help to understand how some indicators affect both cost and revenue efficiency, particularly in Islamic banking. It also seems that tighter restrictions on Islamic bank activities are negatively associated with bank efficiency. Islamic banks that directly compete with their conventional counterparts in the aftermath of the crisis are less efficient on both the cost and revenue frontiers. They are potentially hindered by the differential regulations of supervising authorities in dual banking systems.

The authors provide recommendations regarding regulatory and other issues that are relevant to Islamic banking and further research is suggested. Findings are relevant to a variety of stakeholders (managers, policymakers and regulators). Islamic banking authorities could re-examine the benefits of partially moving to a more standardized/conventional system of banking by lifting some trading restrictions. In addition, developing and maintaining managerial skills is an indispensable instrument for the long-term endurance of any system. A related aspect is thus an effort to determine the holistic efficiency (including managerial) of Islamic banks as a guide for policymakers to improve managerial performance.

There is relatively limited empirical work that investigates the efficiency between Islamic and conventional banking in the aftermath of the crisis in the Gulf region despite the growing importance of this region on political and economic levels. The authors also examine the revenue efficiency measure often under-researched in the literature and particularly important for comparative studies. Overseas-owned banks have attained much higher infiltration levels in middle-eastern countries over the past decade. It has also been suggested that market penetration differences may also be related to bank efficiency concerns among countries and their financial systems as opposed to types of banks.

This paper aims to identify the impacts of sociodemographic covariates on behavioural biases (BB) scores; the psychometric evidence of the BB measurement instruments; and the main BB that influences the decision-making of individual investors.

Papers were retrieved through search using keywords in ten databases. This systematic review is based on 69 peer-reviewed papers, most of which were published between 2017 and 2021. The relevance of the included papers was assessed through the analysis of statistical/psychometric methods used, and content analysis of the BB literature and its sociodemographic correlations.

Overconfidence is higher in men and not related to age. There was no consensus regarding the relationship between BB and other sociodemographic variables. Most measuring instruments are ad hoc, showing ≤ 4 types of psychometric evidence and assessing ≤ 9 BB. Therefore, the findings demonstrate that there is no gold standard instrument for measuring investors’ BB. Furthermore, 37 BB were cited as influencers of individual investors’ decision-making and overconfidence, herding, anchoring, representativeness and loss aversion were the most prevalent.

Considering that very few systematic reviews have been published in the behavioural finance area, this paper highlights the current state-of-the-art and identifies significant gaps in the literature that can be explored by further research.

To the best of the authors’ knowledge, this is the first systematic review that analyses the psychometric properties of instruments used for individual investors BB assessment.