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1 – 10 of 785Memiyanty Abdul Rahim, Nur ’Ain Syahirah Shaharuddin and Norazah Mohd Suki
The purpose of this study is to examine the level of Shariah governance disclosure among Islamic banks in Malaysia and the Gulf Cooperation Council (GCC) countries (i.e. Kuwait…
Abstract
Purpose
The purpose of this study is to examine the level of Shariah governance disclosure among Islamic banks in Malaysia and the Gulf Cooperation Council (GCC) countries (i.e. Kuwait, Bahrain, United Arab Emirates, Qatar, Oman and Saudi Arabia). On top of that, the effect of Shariah governance disclosure on Islamic banks financial performance is investigated.
Design/methodology/approach
Data underwent quantitative content analysis and a mean comparison of the Shariah governance disclosure mechanisms as well as multiple regression analysis. Shariah governance information is obtained from the Islamic banks' official websites and the Bursa Malaysia Exchange.
Findings
The results of the content analysis revealed that the level of Shariah governance disclosure among Malaysian Islamic banks has been more pronounced than in the GCC countries. Additionally, the multiple regression analysis results specified that of the five Shariah governance disclosure mechanisms, the Shariah committee emerged as the strongest determinant in the financial performance of the Islamic banks, followed by transparency and disclosure.
Practical implications
Islamic banks should emphasise publishing Shariah governance information in annual reports to reflect superior accounting practices as assessed by certified Shariah auditors with an effective monitoring system.
Originality/value
The empirical findings are vital for serving as a guideline for Islamic banks in Malaysia and the GCC countries to disclose their practice of Shariah governance and gain empirical insights into its effect on firms’ financial performance. Following that, Islamic banks would improve their accounting practices while adhering to Shariah principles, strengthen internal controls and boost their brand reputation.
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This study aims to examine the correlation between the readability of financial statements and the likelihood of future stock price crashes in nonfinancial companies listed on the…
Abstract
Purpose
This study aims to examine the correlation between the readability of financial statements and the likelihood of future stock price crashes in nonfinancial companies listed on the Egyptian Stock Exchange. It further explores the possible moderating effect of audit quality on this relationship.
Design/methodology/approach
The study uses ordinary least squares regression, generalized least squares estimation and two-stage least squares methodology to examine and validate the research hypotheses. The sample comprises 107 nonfinancial companies registered on the Egyptian Stock Exchange from 2016 to 2019.
Findings
The results reveal a significant negative association between the readability of financial statements and stock price crash risk. This suggests that companies with more complex financial statements tend to experience higher future crash risks. Additionally, the study identifies audit quality as a significant moderating factor. Higher audit quality, often indicated by engagements with Big-4 audit firms, strengthens the influence of financial statements readability on stock price crash risk. This implies that while high audit quality enhances investor confidence and market stability, it also accentuates the negative consequences of complex financial statements.
Practical implications
The findings of this paper have significant implications for regulators and standard-setting bodies in Egypt. They should consider refining and revising existing standards to emphasize the importance of enhancing the readability of financial reports. Additionally, auditing firms should actively engage in efforts to ensure clearer and more transparent financial reporting. These actions are vital for boosting investor confidence, strengthening Egypt’s capital market and mitigating potential risks associated with information opacity and complexity.
Originality/value
This study represents a pioneering endeavor within the Arab and Egyptian financial environments. To the best of the author’s knowledge, it is the first examination of the association between the readability of financial statements and stock price crash risk in these contexts. Furthermore, it explores factors such as audit quality that may influence this connection.
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The existing literature offers various perspectives on integrating cryptocurrencies into investment portfolios; yet, there is a gap in understanding the behaviours, attitudes and…
Abstract
Purpose
The existing literature offers various perspectives on integrating cryptocurrencies into investment portfolios; yet, there is a gap in understanding the behaviours, attitudes and cross-investment links of individual investors. This study, grounded in the modern portfolio theory and the random walk theory, aims to add empirical insights that are specific to the UK context. It explores four hypotheses related to the influence of socio-demographics, digital adoption, cross-investment behaviours and financial attitudes on cryptocurrency owners.
Design/methodology/approach
This study uses a logistic regression model with secondary data from the Financial Lives Survey 2020 to assess the factors impacting cryptocurrency ownership. A total of 29 variables are used, categorized into four groups aligned with the hypotheses. Additionally, hierarchical clustering analysis was conducted to further explore the cross-investment links.
Findings
The study reveals a significant lack of diversification among UK cryptocurrency investors, a pronounced inclination towards high-risk investments such as peer-to-peer lending and crowdfunding, and parallels with gambling behaviours, including financial dissatisfaction and a propensity for risk-taking. It highlights the influence of demographic traits, risk tolerance, technological literacy and emotional attitudes on cryptocurrency investment decisions.
Originality/value
This study provides valuable insights into cryptocurrency regulation and retail investor protection, underscoring the necessity for tailored financial education and a holistic regulatory approach for investment products with comparable risk levels, with the aim of minimizing regulatory arbitrage. It significantly enhances our understanding of the unique dynamics of cryptocurrency investments within the evolving financial landscape.
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Asif Saeed, Komal Kamran, Thanarerk Thanakijsombat and Riadh Manita
This paper aims to examine the relationship between board structure and risk-taking, exploring how this association is influenced by advanced technologies in the banking sector.
Abstract
Purpose
This paper aims to examine the relationship between board structure and risk-taking, exploring how this association is influenced by advanced technologies in the banking sector.
Design/methodology/approach
This study uses a panel sample of 22 Pakistani banks from 2011 to 2018. To test the authors’ hypothesis, the authors use regression analysis with two-way cluster robust standard errors. Further, the authors also check the robustness of the authors’ findings using alternate proxies of board structure and bank risk-taking behavior. To address endogeneity concerns, the authors use the two-stage least square technique.
Findings
In the era of the Fourth Industrial Revolution, Pakistani banks’ digitalization is modeled by the presence of Temenos-T24/Oracle as their core banking system (software providing end-to-end operational integration). Its interactional effect with corporate governance is evaluated to implicate informed risk-taking by the board as a result of improved information access and analysis. The authors find that board size has a positive association with risk-taking, and the use of modern technology reshapes this association in the banking sector.
Originality/value
The contribution of this paper is twofold. First, the impact of board structure on bank risk-taking has not been extensively researched in Pakistan – a highly volatile and unpredictable economy. Second, the evaluation of the role of technology on bank risk is being researched for the very first time – a uniqueness of this paper.
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This study aims to explore the relationship between risk governance characteristics (chief risk officer [CRO], chief financial officer [CFO] and senior directors [SENIOR]) and…
Abstract
Purpose
This study aims to explore the relationship between risk governance characteristics (chief risk officer [CRO], chief financial officer [CFO] and senior directors [SENIOR]) and regulatory adjustments (RAs) in Organization for Economic Cooperation and Development public commercial banks.
Design/methodology/approach
Using principal component analysis (PCA) and regression models, the research analyzes a representative data set of these banks.
Findings
A significant negative correlation between risk governance characteristics and RAs is found. Sensitivity analysis on the regulatory Tier 1 capital ratio and the total capital ratio indicates mixed outcomes, suggesting a complex relationship that warrants further exploration.
Research limitations/implications
The study’s limited sample size calls for further research to confirm findings and explore risk governance’s impact on banks’ capital structures.
Practical implications
Enhanced risk governance could reduce RAs, influencing banking policy.
Social implications
The study advocates for improved banking regulatory practices, potentially increasing sector stability and public trust.
Originality/value
This study contributes to understanding risk governance’s role in regulatory compliance, offering insights for policymaking in banking.
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Muhammad Jawad Haider, Maqsood Ahmad and Qiang Wu
This study examines the impact of debt maturity structure on stock price crash risk (SPCR) in Asian economies and the moderating effect of firm age on this relationship.
Abstract
Purpose
This study examines the impact of debt maturity structure on stock price crash risk (SPCR) in Asian economies and the moderating effect of firm age on this relationship.
Design/methodology/approach
The study utilized annual data from 432 nonfinancial firms publicly listed in six Asian countries: China, Hong Kong, Japan, Singapore, Pakistan and India. The observation period covers 14 years, from 2007 to 2020. The sample was categorized into three groups: the entire sample and one group each for developing and developed Asian economies. A generalized least squares panel regression method was employed to test the research hypotheses.
Findings
The results suggest that long-term debt has a significant negative influence on SPCR in Asian economies, indicating that firms with high long-term debt experience lower future SPCR. Moreover, firm age negatively moderates this relationship, implying that older firms may experience a more pronounced reduction in SPCR due to high long-term debt. Finally, firms in developed Asian economies with high long-term debt are more effective in mitigating the risk of a significant drop in their stock prices than firms in developing Asian economies.
Originality/value
This study contributes to the literature in several ways. To the best of the researcher’s knowledge, this is the first of such efforts to investigate the relationship between debt maturity structure and crash risk in Asia. Additionally, it reveals that long-term debt influences SPCR directly and indirectly in Asia through the moderating role of firm age. Lastly, it is likely one of the first studies by a research team in Asia to compare the nonfinancial markets of developed and developing Asian countries.
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Geetanjali Pinto, Shailesh Rastogi and Bhakti Agarwal
This paper aims to evaluate whether promoter holding influences a bank’s liquidity in India’s leading emerging market. Furthermore, it also evaluates the moderating role of…
Abstract
Purpose
This paper aims to evaluate whether promoter holding influences a bank’s liquidity in India’s leading emerging market. Furthermore, it also evaluates the moderating role of risk-weighted assets (RWA) on the relationship between promoter holding and liquidity.
Design/methodology/approach
The data consists of 24 banks for the period of 12 years from 2010 to 2021. Static panel data is used to analyze the relationship between the liquidity coverage ratio (LCR) as the dependent variable, the promoter used as an explanatory variable and RWA used as a moderating variable in this study.
Findings
This study concludes that an increase in promoter holding helps to improve the liquidity of Indian banks. Moreover, it also shows that using RWA as a moderating term enhances the relationship between promoter holdings and Indian banks’ liquidity.
Research limitations/implications
This study evaluated the impact of promoter ownership solely on the LCR, a statistic used to measure the short-term liquidity of banks in the Indian setting. Additional corporate governance factors, such as the makeup of the board of directors, relevant ownership concentration factors and external factors with the potential to affect the liquidity position of banks, could potentially be the subject of future investigations.
Practical implications
This paper has both managerial and policy-level implications. It shows that it is advantageous for banks’ ownership composition to include more enormous promoter holdings to enhance banks’ liquidity. Policymakers can, thus, formulate policies to encourage banks to have more extensive promoter holdings.
Originality/value
The impact of promoter ownership on bank liquidity has not been evaluated in earlier research projects. Furthermore, the use of RWA as a moderating variable to determine this link has not been fully investigated, particularly in the context of a developing country like India.
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Musa Ghazwani, Ibrahim Alamir, Rami Ibrahim A. Salem and Nedal Sawan
This study aims to examine the impact of corporate governance (CG) on anti-corruption disclosure (A-CD), paying particular attention to the FTSE 100. Notably, it examines how…
Abstract
Purpose
This study aims to examine the impact of corporate governance (CG) on anti-corruption disclosure (A-CD), paying particular attention to the FTSE 100. Notably, it examines how board and audit committees’ characteristics affect the quantity and quality of anti-corruption disclosure.
Design/methodology/approach
Data from FTSE 100 firms, spanning the period from 2014 to 2020, were analysed using the regression of the Poisson fixed effect and GEE analyses.
Findings
The findings show that gender diversity, audit committee expertise and the independence of the audit committee are positively associated with both quantity and quality of anti-corruption disclosure. Notably, no statistically significant relationships were identified between anti-corruption disclosure and factors such as board size, role duality or board meetings.
Research limitations/implications
The findings provide valuable insights for decision-makers and regulatory bodies, shedding light on the elements that compel UK companies to enhance their anti-corruption disclosure and governance protocols to alleviate corruption and propel efforts towards ethical behaviour.
Originality/value
This study makes a notable contribution to the sparse body of evidence by examining the influence of board and audit committee attributes on anti-corruption disclosure subsequent to the implementation of the UK Bribery Act in 2010. Specifically, to the best of the authors’ knowledge, this study assesses for the first time the impact of board and audit committee mechanisms on both the quantity and quality of anti-corruption disclosure.
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Ummya Salma and Md. Borhan Uddin Bhuiyan
This study aims to examine whether the presence of advisory directors affects firm discretionary accruals (DACC), a widely used proxy for financial reporting quality. The authors…
Abstract
Purpose
This study aims to examine whether the presence of advisory directors affects firm discretionary accruals (DACC), a widely used proxy for financial reporting quality. The authors argue that the advisory director weakens the board monitoring role and impairs the firm financial reporting quality by increasing DACC.
Design/methodology/approach
The sample consists of listed firms on the Australian Stock Exchange from 2001 to 2015 using 7,649 firm-year observations. The authors perform descriptive statistics, regression and propensity score matching analyses to examine the research hypothesis.
Findings
The research evidence that firms with a higher presence of advisory directors have more DACC, indicating poor financial reporting quality. Furthermore, the authors categorize the DACC and find that the firm has higher income-increasing DACC in the presence of higher advisory directors. The findings are robust concerning endogeneity issues.
Research limitations/implications
The research evidence that firms with a higher presence of advisory directors have more DACC, indicating poor financial reporting quality. Furthermore, the authors categorize the DACC and find that the firm has higher income-increasing DACC in the presence of higher advisory directors. The findings are robust concerning endogeneity issues.
Practical implications
The research contributes valuable insights for regulators and policymakers seeking to comprehend the implications of firms using more advisory directors. Additionally, the authors recognize the potential significance of the findings for the institution of directors, as they can provide a nuanced understanding of the specific roles played by advisory directors in organizational dynamics.
Originality/value
While the extensive body of literature on corporate governance and financial reporting quality has been well-established, a noticeable void exists in academic research delving into the relationship between advisory directors and DACC management. This study seeks to fill this gap, making a distinctive and original contribution to the existing literature on corporate governance.
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Jahanzaib Alvi and Imtiaz Arif
The crux of this paper is to unveil efficient features and practical tools that can predict credit default.
Abstract
Purpose
The crux of this paper is to unveil efficient features and practical tools that can predict credit default.
Design/methodology/approach
Annual data of non-financial listed companies were taken from 2000 to 2020, along with 71 financial ratios. The dataset was bifurcated into three panels with three default assumptions. Logistic regression (LR) and k-nearest neighbor (KNN) binary classification algorithms were used to estimate credit default in this research.
Findings
The study’s findings revealed that features used in Model 3 (Case 3) were the efficient and best features comparatively. Results also showcased that KNN exposed higher accuracy than LR, which proves the supremacy of KNN on LR.
Research limitations/implications
Using only two classifiers limits this research for a comprehensive comparison of results; this research was based on only financial data, which exhibits a sizeable room for including non-financial parameters in default estimation. Both limitations may be a direction for future research in this domain.
Originality/value
This study introduces efficient features and tools for credit default prediction using financial data, demonstrating KNN’s superior accuracy over LR and suggesting future research directions.
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