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The purpose of this paper is to examine the impact of the Yemen War on banking services (deposits and loans) at the aggregate and at the level of conventional and Islamic banks in GCC countries. The author also tests hypotheses of direct and indirect impacts of the Yemen War on bank services.

The sample comprises a total of 70 banks (45 conventional and 25 Islamic banks) over the period 2000–2018. The static and dynamic panel generalized methods of moments (GMM) estimation techniques are applied.

Empirical results indicate that the Yemen War has a significant negative direct impact on deposits and loans of GCC banks. The results lend support for the direct channel hypothesis, but not for the indirect channel hypothesis. The negative direct impact is most prominent on banks in GCC countries that are directly involved in the Yemen War, although the war has an asymmetric effect on conventional and Islamic banks, the former being more vulnerable. The overall conclusion is that the Yemen War exerts an asymmetric impact on the GCC region, across both banks and countries.

These results are a warning to policymakers to be cautious when formulating a strategy for macroeconomic stability.

It is widely recognized that the Yemen War has a significant impact on the economies of the GCC countries. However, the possible impact of the war on GCC bank services has not so far been subjected to robust empirical analysis. This paper therefore seeks to fill this gap by providing an in-depth quantitative analysis of this impact. It distinguishes between direct and indirect channels through which the Yemen War may affect bank services. It is also the first to examine the asymmetric impact of the Yemen War on the GCC region, across both banks (Islamic and conventional banks) and countries (whether or not involved in the war). The study uses both static panel and dynamic panel GMM estimation techniques to analyze the data.

The purpose of this paper is to examine the determinants of capital structure using a dataset of firms in Malaysia.

This paper carries out a panel data analysis of 8,270 observations from 827 listed non-financial firms on the Malaysia stock market over the period 2008–2017. To estimate the model and analyse the data collected from the DataStream and World Bank databases, the authors use static panel estimation techniques as well as two-step difference and system dynamic GMM estimator.

The results show that profitability, growth opportunity, tax-shield, liquidity and cash flow volatility have a negative and significant impact on debt measures. However, the effects of collateral, non-debt tax and earnings volatility on measures of debt are positive and significant. In addition, firm size, firm age, inflation rate and interest rate are important determinants of the present value of debt. The results also show a significant inverse U-shaped relationship between the firm's age and its capital structure. In general, the results support the proposition advocated by the pecking order and trade-off theories.

The results of this study necessitate formulation of various policy measures that can counter the effects of debt on firms.

The present study is among the earliest to use both the book and market value measures of capital structure. It also uses three proxies for each: total debt, long-term debt and short-term debt. It incorporates earning volatility and cash flow volatility as new independent variables in the model. These variables have not previously been used together with both book and market value measures of capital structure. The study also examines the non-monotonic relationship between firm's age and capital structure using a quadratic regression method. It applies both static panel techniques and dynamic GMM estimation techniques to analyse the data.

This paper aims to examine and compare the impact of foreign direct investment (FDI) inflows on bank deposits in aggregate as well as at the level of conventional and Islamic banks in Middle East and North Africa (MENA) countries. The study also tests hypotheses of direct and indirect impacts of FDI flow and FDI stock on bank deposits.

Static and dynamic panel generalized methods of moments (GMM) estimation techniques are applied to analyze a large data set of 491 commercial banks (422 conventional banks and 69 Islamic banks) across 18 MENA countries between 1993 and 2017 (12,275 year observations).

Empirical results indicate that inflowing FDI flow and FDI stock have a significant negative direct impact on deposits of MENA banks. The results lend support for the direct channel hypothesis for the effect of FDI on bank deposits and find no evidence in support of the indirect channel hypothesis. FDI inflows affect bank deposits directly via increased FDI-related excessive competition in the banking market. Deposits from conventional banks appear to be more affected than those from Islamic banks. The variation may due to the fact that Islamic banks have fewer multinational corporations (MNC) customers than conventional banks and therefore are less sensitive to fluctuations in FDI.

From this analysis, this study concludes that foreign investments have a higher productivity than local investments in MENA region. Attracting more FDI is aimed at increasing overall national productivity through competition. However, governments would be wise to enact such a policy to maximize benefits and minimize potential harm to local industry. Furthermore, FDI policy should encourage small to medium-size banks and firms (SMEs)’ participation and linkage with multinational banks and MNCs, while upgrading research and development institutions and innovation activities to help SMEs to benefit from potential spillovers from foreign presence in the industry. In addition, the linkage and connection between SMEs and foreign firms should be strengthened and promoted by government policy.

This study is the first of its kind to examine the effect of FDI inflows on bank deposits. It also provides an in-depth quantitative analysis of the impact of FDI flow and FDI stock, separately, on bank deposits for both conventional and Islamic banks. It distinguishes between direct and indirect channels through which FDI inflows may affect bank deposits. The study analyzes 25 years of panel data for 491 banks (12,275 year observations) and uses both static and dynamic panel GMM estimation techniques to analyze the data.

This paper investigates and compares the impact of foreign direct investment (FDI) inflows (flow and stock) on bank off-balance sheet (OBS) activities in aggregate as well as at the level of conventional and Islamic banks in GCC countries. It also tests hypotheses of direct and indirect impacts of FDI flow and FDI stock on OBS activities.

This paper uses both static and dynamic panel generalized methods of moments (GMM) estimation techniques to analyze the data of 70 GCC banks (45 conventional and 25 Islamic banks) over the period 1995–2017.

Empirical results indicate that FDI flow and FDI stock have a significant negative direct impact on OBS activities of GCC banks. The results lend support for the direct channel hypothesis for the effect of FDI on OBS activities and find no evidence in support of the indirect channel hypothesis. OBS activities from conventional banks appear to be more affected than those from Islamic banks.

The results of this study are expected to trigger appropriate policy response from the central banks of the respective GCC countries as well as their governments.

It is widely recognized that FDI inflows are of great importance to the economic development of emerging and developing countries. However, their impact on bank OBS activities has so far not been subject to accurate empirical assessment. This paper aims to fill this gap by providing an in-depth quantitative analysis of the impact of FDI flow and FDI stock separately, on bank OBS activities for both conventional and Islamic banks in GCC countries. It distinguishes between direct and indirect channels through which FDI flow and FDI stock may affect OBS activities for banks as a whole and both conventional and Islamic banks separately. It also uses both static and dynamic panel GMM estimation techniques to analyze the data.

The purpose of this paper is to investigate and compare the impact of FDI inflows on bank loans in aggregate as well as at the level of conventional and Islamic banks in GCC countries. The paper also tests hypotheses of direct and indirect impacts of FDI inflow and FDI stock on bank loans.

The sample comprises a total of 70 banks (45 conventional and 25 Islamic banks). The period under consideration is 1995–2017. Static panel and dynamic panel GMM estimation techniques are applied.

Empirical results indicate that inflowing FDI and FDI stock have a significant negative direct impact on loans of GCC banks. The results lend support to the direct channel hypothesis for the effect of FDI on bank loans and find no evidence in support of the indirect channel hypothesis. FDI inflows affect bank loans directly via increased FDI-related liquidity, business activity or excessive competition in the banking market; they are not channeled through macro variables. Loans from conventional banks appear to be more affected than those from Islamic banks.

Given the attractiveness of the GCC economies to foreign investment, the potential volatility of investment-induced instability to the financial system in these economies should be on the radar of the central banks. Attracting more FDI is expected to increase overall national productivity through competition. However, government would be wise to enact a policy to maximize benefits and minimize potential harm to local industry. In addition, to achieve the goal of the new economic model, in turning the GCC economies into high-income and knowledge-driven economies by 2030, enhancement of efficiency and the quality of the workforce will contribute to creating productivity-driven economies.

It is widely recognized that FDI inflows are of great importance to the financial performance development of emerging and developing countries. However, their impact on bank loans has so far not been subject to accurate empirical assessment. This paper aims to fill this gap by providing an in-depth quantitative analysis of the impact of FDI inflow and FDI stock, separately, on bank loans for both conventional and Islamic banks in GCC countries. It distinguishes between direct and indirect channels through which FDI inflows may affect bank loans. The study uses both static and dynamic panel GMM estimation techniques to analyze the data.

The purpose of this study is to investigate the role of corporate governance practices on the post-privatization financial performance of the firms listed on the Nigerian Stock Exchange (NSE) over the period 2005-2014.

The study uses a two-step dynamic system Generalized Method of Moments (GMM) estimation technique for 27 privatized firms by considering a wide range of controlled variables such as managerial shareholdings, board composition, debt financing and stock market development.

The empirical result suggests that the improvement in the firms’ financial performance is attributed to good corporate governance practices through effective board composition, debt financing (leverage) and stock market development. The result further shows no substantial evidence to support that managerial shareholding improves firms’ financial performance.

Therefore, based on the empirical findings of this study, the authors recommend that the firms need to maintain the optimum board composition and the ratio of debt to share capital as well as developing the stock market to function effectively.

This study contributes to the existing literature in several ways: (1) the first time that the role of corporate governance is considered in explaining the post-privatization financial performance of firms listed on the Nigerian Stock Exchange; (2) the paper applies a two-step dynamic system GMM estimation technique, proposed by Arellano and Bover (1995) and Blundell and Bond (1998) to control for the serial correlation and heterogeneity, which remain the major weaknesses of the panel data modeling in the literature.

The paper examines the effect of bank-specific, financial structure and macroeconomic factors on the profitability of banks in Asian economies during 1995–2017.

It uses the data of 2,446 banks across 47 Asian countries between 1995 and 2017 (41,582 year observations). The static and dynamic panel generalized methods of moments (GMM) estimation techniques are applied.

The results show that banks that are highly dependent on nontraditional activities have lower net interest revenue and net interest margin but higher return on assets, return on equity and profit before tax. Higher opportunity cost, capitalization, demand deposits and market risk result in a better bank profits. Furthermore, banks with higher loan exposure and growth have more profit. However, nonperforming loans have negative and significant impact on bank profitability. Asian banks do not suffer from diseconomies of scale and scope. The author also finds that banks located in countries with high gross domestic product, inflation rates and high rates of interest or in financially developed economies offer better profits. High credit to the private sector reduces the bank profitability. This study finds evidence to support the structure-conduct-performance (SCP) hypothesis. It also provides evidence that the impact of financial turmoil on the profitability of the Asian banking sector is negative and significant and has severely weakened the Asian banking system.

As Asia has become an important economic area and the Asian topic has not earned enough discussions, this paper is the first to examine Asian banks with the latest and a wider range of panel data that cover 2,446 banks at 47 Asian countries over the period 1995–2017. The present study is among the first to address the influence of financial turmoil on bank profitability in this region. It also studies new variables, such as demand deposits, opportunity cost and off-balance sheet activities, which have not been examined in relation to bank profitability. It also applies both static techniques and dynamic panel estimation techniques to analyze the data.

This paper attempts to evaluate the impact of intellectual capital on bank performance in Bangladesh.

The authors analyze an unbalanced longitudinal data of 32 banks, which cover 318 observations of bank-year from 2010 to 2019. The study employs a dynamic panel model with the two-step system generalized methods of moments (SGMM).

The results show that bank performance is significantly positively affected by the intellectual capital (IC) in Bangladesh. In addition, the findings show that capital employed efficiency (CEE) is an essential determinant of bank performance rather than structural capital efficiency (SCE) and human capital efficiency (HCE) for the Bangladeshi banking sector.

This work is unique as no one has explored the impact of intellectual capital on Bangladesh's bank performance. The findings suggest that business owners, managers and policymakers who want to improve the efficiency of their organizations should spend continuously on IC and expand their investment into CEE, which includes both financial and physical resources, in order to obtain better bank performance.

One of the main obstacles to the flourishment of African entrepreneurship is financial constraint. Existing studies on the nexus between entrepreneurship and financial development are inconclusive, while the position of African economies remains unknown. The purpose of this paper is to empirically study the impact of financial development on entrepreneurship in Africa.

This study utilizes data of 20 selected countries in Africa over a period of 2006–2017. International Monetary Fund (IMF) data on broad-based financial development were combined with World Bank Entrepreneurship database. This study uses system generalized methods of moments (system GMM) technique and the recently developed dynamic panel threshold based on dynamic panel GMM.

The following findings emerged: financial development does not spur entrepreneurship in Africa; there is a threshold at which financial development improves the level of African entrepreneurship; and the tendency of financial development to improve the level of entrepreneurship is conditioned on conducive business regulation and strong institutional quality at a specific threshold value.

This is one of the few studies that examines the impact of financial development on entrepreneurship in Africa. This study shows that the financial development relies on the effectiveness of regulatory environment to extend loan and other financial services to new firm entrants. In addition, the results of this study reveal that the assumption of linearity in the nexus between finance and entrepreneurship is not tenable for the case of Africa. Therefore, policymakers should keep on developing African financial system to accelerate the pace of entrepreneurship development.

The purpose of this study is to finds out how investor attention plays the moderating role between the relation of information risk and COE by considering the effect of three different types of information risk, that is private information, lack of quality and transparent information.

For that purpose, data is collected from all the non-financial firms listed on PSX from 2007 to 2019. Two-step system GMM dynamic panel estimators are applied to test the dynamic nature of the proposed model.

The findings of the study show that investor attention reduces these three information risks by increasing the stock liquidity and decreasing the crash risk which ultimately decreases the COE. Also, this study examined the role of investor attention between the relations of information risk and corporate investment in the dynamic panel model, where the two-step system generalized method of the moment has been applied. The finding of the study shows that investor attention stimulates the innovative investment by increasing investor confidence and decreasing the agency conflict.

This study contributes to the literature by providing the novel findings by considering the role of investor attention in reducing the effect of three different types of information risk, that is private information, less quality as well as less transparency of information and further their effect on the cost of equity.