Search results

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 aims to examine the effect of bank-specific, financial structure and macroeconomic factors on the risk-taking behavior, stability and profitability of banks in Gulf Cooperation Council (GCC) economies during 1998–2017.

The authors use a two-step system generalized method of moments dynamic model to analyze the data.

The results show that non-traditional activities increase the risk and decrease the stability and profitability of banks that are highly capitalized, highly liquid and large. Banks in this group are less engaged in securities investments and their higher degree of loan exposure leads to a decrease in risk and an increase in their stability and profitability. Higher concentration increases the risk and decreases the stability and profitability of banks that are less capitalized, less liquid and small. Banks with a higher share of non-traditional activities are riskier and less stable and less profitable before the financial crisis. The study finds that banks with relatively higher capitalization and high lending growth rates are riskier, profitable and less stable during the crisis. Larger commercial banks are less risky and more stable and profitable than smaller banks before the global financial crisis. Islamic banks performed better in terms of fee income, capitalization, liquidity, asset quality and have higher market concentration than conventional banks.

The study provides the first comprehensive empirical evidence on the drivers of risk-taking behavior, stability and profitability of the GCC banks. It also investigates the differences across these variables based on the characteristics of financial strength such as capitalization, liquidity and size; before, during and after the financial crisis; and differences between Islamic and conventional banks.

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 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 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 cognitive processes through which religiosity and idealism affect ethical consumption have received little attention in prior research. This study aims to explore the influence of religiosity and idealism on ethical purchasing intention through moral obligation and perceived customer effectiveness (PCE).

The study analyses data from 149 Muslim participants in Saudi Arabia, using structural equation modelling.

The results reveal that religiosity leads to PCE but not to moral obligation and that idealism leads to both PCE and moral obligation. Mediation analysis indicated that PCE mediates the effect of both religiosity and idealism, although moral obligation only mediates the effect of idealism.

This research enriches the understanding of ethical consumption and contributes to the debate on how religiosity and idealism affect ethical consumption. It also has significant implications for theory and the development of sustainable marketing initiatives. Marketing campaigns and other promotional activities may focus on the interconnection between ethical purchase and the religious and ideology dimensions of consumers. Also, while formulating a communication strategy, it is necessary to emphasize the religious dimension of the sustainable use of the product.

Moral obligation and PCE have been shown as cognitive and psychological mechanisms explaining the links between religiosity or idealism and ethical purchasing behaviour.

This research paper aims to empirically explore how stock market investors’ perceptions are affected by extreme climatic events like El Nino and floods in Malaysia.

This study uses structural equation modelling (SEM) to analyse the empirical data gathered through a questionnaire survey involving 273 individual investors from Bursa Malaysia between January and June 2019.

Results reveal that companies’ efforts, especially for agriculture and plantation-based industries, to adapt to climate change risk at the production, business and stock market levels significantly impact investors’ behaviour and investment decisions. Moreover, stock market investors’ climate change knowledge shows a significant moderating effect on corporate climate change adaptation initiatives and investors’ decisions to invest in Malaysian agricultural and plantation industry stocks.

This research has significant implications for practice and policy, as it measures the stock market investors’ level of awareness about climate change events and explores the companies’ strategies to reduce climatic risks to their business model.

This study shows the way to adjust the climate change information in the stock market investment decision to improve market efficiency and sustainable stock exchanges initiative.

To the best of the authors’ knowledge, this paper is the pioneer one to provide a comprehensive link between climate change events and business performances at production level, business level and stock market levels by drawing inferences from empirical data on investors’ behaviours. This study also added value in investment theories and financial literature by observing the climate change as an important factor to determine the investors’ decisions in the stock market.

This paper aims to investigate the impact of COVID-19 and the stringency of the government policy response on stock market returns globally and at the regional level.

Pooled-ordinary least squares (OLS) and panel data techniques are used to analyse the daily data set across 88 countries in the Americas, Europe, Asia-Pacific, Middle East and Africa for the period of 1 January 2020 to 10 May 2021.

Using pooled-OLS and panel data techniques, the analyses show that both the daily growth in confirmed cases and deaths caused by COVID-19 have significant negative effects on stock returns across all markets. The effects are non-linear and U-shaped. Stock markets react more to the growth of confirmed cases than to the growth in the number of confirmed deaths. The results, however, vary across regions. More specifically, this study finds that the negative effect of confirmed cases is stronger in the Americas and the Middle East, followed by Europe. The negative direct effect of deaths caused by COVID-19 is stronger in the European region, followed by the Middle East, in relation to the rest of the world. The stock market returns in the African region are not, however, statistically significant. The researcher finds evidence that stringent policy responses lead to a significant increase in the stock market returns, both globally and across regions.

The results suggest that the integrity of the government and its interventions complemented by a stable and reliable monetary policy are crucial in providing confidence to firms and households in uncertain times.

COVID-19 has a significant impact on national economies and stock markets, triggering various governments’ interventions across all geographic regions. The pandemic has significantly affected all aspects of life, especially the stock markets. However, their empirical impact on stock returns is still unclear. This paper is the first of its kind to fill this gap by providing an in-depth quantitative analysis of the impact of both COVID-19 and stringency of the governmental policy responses on stock market returns globally and at the regional level. It is also the first to use an advanced analytical framework in analysing the effects of daily growth in both total and newly confirmed cases, and the daily growth in both total and new deaths caused by COVID-19 on them. The dynamic nature of the data on COVID-19 is taken into account. The non-linearity of the effects is also considered.

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.