Search results

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.

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 effect of bank specific, financial structure and macroeconomic factors on the shareholder value of banks in GCC economies during 2000–2017.

To estimate the model and analyze the data collected from the BankScope and World Bank World Development Indicator database, the author uses static panel estimation techniques as well as two-step difference and system dynamic generalized method of moments estimator.

The results show that banks that are highly dependent on non-traditional activities have higher shareholder value. Higher opportunity cost, capitalization and demand deposits result in a better bank shareholder value. Furthermore, banks with higher loan exposure and growth have better shareholder value. Non-performing loans and market risk have insignificant effects on bank shareholder value. However, GCC banks suffer from diseconomies of scale and scope. The author also finds that banks located in countries with high inflation rates, high rates of interest or in financially developed economies offer better shareholder value. High credit to the private sector reduces the bank shareholder value. The paper also provides evidence that the impact of financial turmoil on the shareholder value of the GCC banking sector is negative and significant and has severely weakened the GCC banking system.

The results of this study necessitate formulation of various policy measures that can counter the effects of shareholder value of banks.

The present study is among the first to address the influence of financial turmoil on bank shareholder value. It also studies new variables, such as demand deposits, non-performing loans, loan growth, non-interest revenue and off-balance sheet activities, which have not been examined in relation to bank shareholder value. It also applies both static techniques and dynamic panel estimation techniques to analyze the data. The analysis is carried out at the aggregate level as well as at the national level and also provides several robustness analyses using various model specifications.

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.

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.

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 locate the specific items from the financial statements that are responsible for the dirty surplus accounting flows and how important they are in its explanation.

It is generally accepted that some country accounting rules allow some operations that can generate dirty surplus in the annual statements. Working on this basis, it is necessary to consider information at the same time across firms and across time, using panel data econometric techniques. A static panel data estimated by generalized least squares can be used to correct correlations between firms and account numbers or a dynamic panel data estimated by GMM‐SYS with instrumental variables to avoid endogeneity.

Results show that in a static panel data model, the income statement items have a lower explicative power of balance sheet items variations, having higher explicative power a dynamic one (AR(1)). Results show that, specifically, financial assets, debts and book value capture the dirty accounting flows.

Working in differences reduces the explicative power of the income statement and working in levels could be inconsistent if it is impossible to contrast, first, stationary in data due to their shortage. It is suggested that future works increase the frequency of the observed data, and contrast the cointegration as a way to check the accounting relationships.

It is important to evaluate whether the income statement can (or cannot) explain the financial position of a firm. Also it is important to know where dirty surplus accounting flows are located can be useful for firms' valuation.

The econometric technique proposed in the paper deals with the main limitation in accounting research: information is bigger in cross‐section (number of firms) than in time series (economic periods).

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 study aims to examine the influence of corporate governance (CG) mechanisms and ownership structures on corporate governance disclosure (CGD) in listed Mauritian companies.

Multivariate regression techniques, both static and dynamic panel data models, were employed to analyse the effect of the determinants on the CGD level of 42 Mauritian listed companies (38 non-financial and four financial firms) from 2009 to 2019.

In the static model comprising 42 firms, CG attributes such as board size, board meeting frequency, CG committee meeting frequency and audit committee meeting frequency are major determinants of CGD, whereas ownership structure variables such as managerial ownership and institutional ownership do not influence CGD. In the dynamic model, only the CG meeting frequency is a major determinant. The determinants of CGD vary between non-financial and financial firms.

This study is limited to CGD in listed firms, excluding mandatory disclosures and unlisted firms. Future research can use qualitative approaches to better understand CGD behaviour with an extension to mandatory disclosures and non-listed firms.

Policymakers can rely on determinants to draw policy measures to raise CG standards further. Domestic and foreign investors may also depend on the determinants of their expectations of CGD while making investment and credit decisions.

This study contributes to the extant literature by examining a new determinant of CGD: CG committee meeting frequency. It also investigates any differences in the determinants between financial and non-financial firms with different listing status.

The purpose of this paper is to test the validity of irrelevant theory empirically by exploring the relationship between cash dividends, profitability, leverage and investment policy with the value of banking institutions in the Middle East and North Africa (MENA) markets.

The paper adopts Ohlson’s (1995) valuation model. The author estimates models by using static panel (random and fixed effects) techniques and the dynamic technique, namely, the GMM estimation. The empirical study covers a sample of 122 conventional and 37 Islamic banks listed on stock markets in 12 MENA countries over the period 1999–2018.

The empirical results show that dividend yield has no significant association with the value of conventional banks, whereas profitability, growth opportunity and leverage have a significant positive impact on the value of conventional banks. In contrast, the results for a sample of Islamic banks indicate that the dividend yield, profitability and leverage have a significant positive effect on the value of Islamic banks, whereas growth opportunity has no significant effect on the value of Islamic banks. Therefore, these results support, to a greater extent, the validity of the dividend irrelevance theory of Modigliani and Miller for conventional banks but would not be accepted for Islamic banks in the MENA region.

This study is restricted to a sample of one type of financial firms, banking firms listed in the MENA countries. In addition, the study has dealt with one type of dividend (the cash dividend).

Highlighting the difference between conventional and Islamic banks is crucial to understanding dividend policy behavior and to providing investors information to be integrated in their valuation setting to make informed corporate decisions.

To the best of the author’s knowledge, the present study is the first of its kind that it draws a comparative analysis by testing empirically the validity of the Irrelevant Theory to banks in the MENA region covering a long time period in the recent past.