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Motivated by the agency theory, this study aims to empirically examine the nexus between board attributes and a firm’s financing decisions of non-financial listed firms in Palestine and how the previous relationship is moderated and shaped by the level of gender diversity.

Multiple regression analysis on a panel data was used. Further, we applied three different approaches of static panel data “pooled OLS, fixed effect and random effect.” Fixed-effects estimator was selected as the optimal and most appropriate model. In addition, to control for the potential endogeneity problem and to profoundly analyze the study data, the authors perform the one-step system generalized method of moments (GMM) estimator. Dynamic panel GMM specification was superior in generating robust findings.

The findings clearly unveil that all explanatory variables in the study model have a significant influence on the firm’s financing decisions. Moreover, the results report that the impact of board size and board independence are more positive under conditions of a high level of gender diversity, whereas the influence of CEO duality on the firm’s leverage level turned from negative to positive. In a nutshell, gender diversity moderates the effect of board structure on a firm’s financing decisions.

This study was restricted to one institutional context (Palestine); therefore, the results reflect the attributes of the Palestinian business environment. In this vein, it is possible to generate different findings in other countries, particularly in developed markets.

The findings of this study can draw responsible parties and policymakers’ attention in developing countries to introduce and contextualize new mechanisms that can lead to better monitoring process and help firms in attracting better resources and establishing an optimal capital structure. For instance, entities should mandate a minimum quota for the proportion of women incorporation in boardrooms.

This study provides empirical evidence on the moderating role of gender diversity on the effect of board structure on firm’s financing decisions, something that was predominantly neglected by the earlier studies and has not yet examined by ancestors. Thereby, to protrude nuanced understanding of this novel and unprecedented idea, this study thoroughly bridges this research gap and contributes practically and theoretically to the existing corporate governance–capital structure literature.

The purpose of this study is to explore whether different board diversity attributes (corporate governance aspect) can be used to predict financial distress. This study also aims to identify what type of prediction models are more applicable to capture board diversity along with conventional predictors.

This study used Chinese A-listed companies during 2007–2016. Board diversity dimensions of gender, age, education, expertise and independence are categorized into three broad categories; relation-oriented diversity (age and gender), task-oriented diversity (expertise and education) and structural diversity (independence). The data is divided into test and validation sets. Six statistical and machine learning models that included logistic regression, dynamic hazard, K-nearest neighbor, random forest (RF), bagging and boosting were compared on Type I errors, Type II errors, accuracy and area under the curve.

The results indicate that board diversity attributes can significantly predict the financial distress of firms. Overall, the machine learning models perform better and the best model in terms of Type I error and accuracy is RF.

This study not only highlights symptoms but also causes of financial distress, which are deeply rooted in weak corporate governance. The result of the study can be used in future credit risk assessment by incorporating board diversity attributes. The study has implications for academicians, practitioners and nomination committees.

To the best of the authors’ knowledge, this study is the first to comprehensively investigate how different attributes of diversity can predict financial distress in Chinese firms. Further, this study also explores, which financial distress prediction models can show better predictive power.

The purpose of this paper is to find out firm, industry, and country level determinants of capital structure of Pakistani listed non-financial firms.

The authors use a fixed effects panel data model over a 39 years (1972-2010) unbalanced panel data of Pakistani non-financial listed firms to determine the factors that influence capital structure of these firms.

The authors find that Pakistani firms prefer retained earnings to finance their business projects, and debt is easily available for experienced firms. Moreover, socio-economic collusive networks, poor corporate governance mechanism along with weak legal system provide these firms an opportunity to pass on their risk to the creditors (banks).

The data set does not contain factors characterizing inter-industry heterogeneity, therefore, the authors use mean industry leverage and mean industry profitability to explore if any relationship exists between leverage of firms, and their respective industry leverage/profitability.

Pakistani non-financial firms are highly leveraged increasing their probability to face financial distress in erratic economic conditions. As such, the policy makers need to develop capital markets of Pakistan to enable a resilient corporate capital structure. Further, erratic economic conditions of Pakistan create uncertain business environment yielding short-term opportunities and to finance them Pakistani firms use short-term debt as a main financing source. The policy makers need to improve corporate governance mechanism and strengthen legal system that will go a long way to develop Pakistani capital market on sound and sustainable footing.

This is the first study that uses an extended number of variables and discovers financial behavior of firms in a bank-based economy having limited financing options, and facing erratic economic conditions.

This study aims to examine the relationship between board capital and firm performance in the Chinese tourism industry.

The study’s sample includes firms from the Chinese hotel, air transportation/travel and catering industries. This study explores the governance environment in tourism industries. This study estimates three dimensions of the board, including education, expertise and directors interlock. These dimensions are further grouped as human capital (i.e. education and expertise), social capital (interlocks) and board capital (sum of social and human capital). Ordinary least square regressions with multiple robustness tests are used to investigate the effect of board capital on firm value in Chinese listed tourism firms during 2005–2018.

This study finds that board capital positively impacts firm performance in its dimensions of human and social capital. This study also highlights the two important ownership contexts, namely, institutional investors and state-ownership, that shape the board capital-firm performance association in the Chinese tourism industry.

The findings suggest that board capital plays a significant role in corporate decisions. The results illustrate that higher board capital improves both governance mechanisms and resource provision roles of the board, resulting in higher firm value. The results further offer implications for managers and shareholders of tourism firms when electing directors as shareholders’ representatives.

The study has two important contributions. First, it extends the prior literature of firm value by considering the board’s human and social dimensions in the tourism sector. Second, contrary to prior research on board, this study takes three facets of board capital, education, expertise and interlocks that improve governance mechanisms and bring new resources in the shape of skills, knowledge and expertise.

Islamic banks have significantly different balance sheets from their conventional counterparts, leading to different implications in relation to liquidity creation compared to conventional banks. This work, first, investigates the liquidity creation of conventional and Islamic banks in Middle Eastern and North African (MENA) countries between 2011 and 2016. It then tests the relationship between liquidity creation and performance of these banks.

It uses the data of 491 commercial banks across 18 MENA countries between 2011 and 2016. The analysis is based on panel data techniques.

The banks created US$18.596 trillion of liquidity, about 28.4% of total assets. Conventional banks created more liquidity compared with Islamic banks. Nevertheless, Islamic banks created more liquidity per asset compared with conventional banks. The regression analysis revealed a significant and negative correlation between liquidity creation and performance of the banks using return on average equity (ROAE) measure. However, no significant relationship is observed between liquidity creation and return on average assets (ROAA) of MENA banks. Moreover, there is no difference between Islamic and conventional banks in the relation between liquidity creation and bank performance.

The data are limited to the period 2011-2016; the period of this study was selected based on yearly data availability from the data source. Accounting measures were used to study the effect of liquidity creation on bank profitability, and the market-based measures were excluded, as there is no uniform sources in these countries that can be used to collect market-based data.

Bank managers must reach a trade-off between the advantages and disadvantages of liquidity creation, as well as consider the negative relationship between liquidity creation and bank performance when making their decisions.

First, to the best of the authors’ knowledge, this work is the first to analyse the relationship between the liquidity creation and performance of conventional and Islamic banks in MENA. Second, this study uses a sample of Islamic and conventional banks in MENA that have detailed information on the Orbis Bank Focus dataset, which is the most comprehensive database of commercial banks in the MENA region.

We examine the informational roles of trades and time between trades in the domestic and overseas US Treasury markets. A vector autoregressive model is employed to assess the information content of trades and time duration between trades. We find significant impacts of trades and time duration between trades on price changes. Larger trade size induces greater price revision and return volatility, and higher trading intensity is associated with a greater price impact of trades, a faster price adjustment to new information and higher volatility. Higher informed trading and lower liquidity contribute to larger bid–ask spreads off the regular daytime trading period.

The purpose of this study is to explain the adjustment rate made to target capital structures by listed non-financial firms in Pakistan during the courses of their life cycles and to determine what factors influence their adjustment rates.

The study used multivariate analysis to classify 39 years (1972-2010) of unbalanced panel data from listed non-financial Pakistani firms in terms of their growth, maturity and decline stages. Further, it used a fixed-effects panel data model to determine the factors that influence capital structure and adjustment rates during the life-cycle stages of firms.

The study observed a low–high–low leverage pattern during the growth, maturity and decline stages of businesses in line with tradeoff theory. Furthermore, the study observed an adjustment rate for growing firms of between 49.3-37.9 per cent, for mature firms of between 35.5-17.5 per cent and for declining firms of between 22.2-15.1 per cent toward their respective leverage targets. Furthermore, it was found that growing firms have higher leverage adjustment rates because, by having more investment opportunities, these firms can alter their capital structures easily by changing the composition of their new issues.

Erratic economic conditions in Pakistan have created an uncertain business environment. Therefore, even mature Pakistani firms remain skeptical about the sustainability of positive trends among current economic indicators. Furthermore, to avoid uncertainty, Pakistani firms grab short-term opportunities by using quickly available short-term debt as a main financing source. Government should introduce long-term policies that will stabilize the business environment and strengthen the financial, as well as the judicial, institutions of the country so that these firms may benefit from long-term investment opportunities and access more options for raising external financing. The results of this study will also help policymakers for other Asian economies where the capital markets are underdeveloped and where firms have higher leverage ratios, such as Thailand, Indonesia and Malaysia.

This is the first study in Pakistan that has used a multivariate approach to classify firms into their different life-cycle stages and to discover the leverage adjustment rates of firms during those life-cycle stages.

The purpose of this paper is to explore how multiple facets of board diversity influence technical efficiency (TE) and total factor productivity (TFP).

The authors measure board diversity in two dimensions: relation-related dimension (age and gender) and task-related dimension (tenure, education and expertise). The authors use a balanced panel data of 806 nonfinancial Chinese firms over the period 2009–2017. The authors use a two-stage approach for analysis. In the first stage, the authors use a non-parametric frontier approach to calculate the TE and factor productivity scores. In the second stage, the authors regressed these scores on board diversity attributes (relation-related diversity and task-related diversity).

By using tobit regression and two-step system GMM, the authors find that board diversity improves TE and TFP. The authors’ analyses illustrate that a higher diversity on corporate board (in terms of age, gender, tenure, education and expertise) positively influence firm efficiency.

The findings have important implications for policymakers. The findings suggest that regulators should devise policies to encourage board diversity. Because a diverse board can bring knowledge, skills, abilities, expertise and experience of diverse group members, which will ultimately enhance a firm’s efficiency. Especially, in the emerging markets (such as China), there is still a need for standard governance mechanisms; therefore, the authors suggest that policymakers should develop regulations and promote diversity of directors as one of the factors for improving the governance mechanisms, which will ultimately improve firms productivity.

Prior studies mostly considered only one dimension (such as gender) of diversity and, therefore, have overlooked how other dimensions influence firms. The authors consider several dimensions of diversity and quantify them into relation-related (age and gender) and task-related (tenure, education and expertise) attributes and show how they influence firms’ efficiency. To the best of the authors’ knowledge, this is the first study to comprehensively investigate how several facets of diversity influence a firm’s TE and TFP.