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The purpose of this paper is to investigate the interrelationship between non-interest income (NII) and net interest margin (NIM) in the Vietnamese banking system between 2006 and 2015. Thereafter, the impact of NII on risk-adjusted returns is also examined.

Various analysis techniques are used to achieve the research objectives.

The findings show a negative two-way link between NII and NIM, thus supporting the subsidisation hypothesis. Furthermore, NII is found to have a negative impact on risk-adjusted returns. When observing this relationship in sub-samples, the findings indicate that the negative impact of NII on risk-adjusted returns still holds in the first subsample (2006-2011). The coefficient of NII becomes positive but not significant for the subsequent period (2012-2015). In addition, the Spearman rank-order correlations of returns on assets and NII for both sub-samples are negative. Together, the author concludes that there are no diversification benefits in the Vietnamese banking system.

The evidence suggests a trade-off between non-interest activities and traditional lending ones. In addition, the findings demonstrate that the Vietnamese banks may use NIIs to expand leverage and herd by coordinating NII strategy during the economic downturns. Thus, the banking system may be exposed to a greater risk. The research has implications for bank supervisors, policy-makers and bank managers.

This study is the first attempt to investigate the interrelationships between net NII and NIM in the Vietnamese banking system.

The paper aims to explain bank interest spread from 2000 to 2014.

The study used the ordinary least square panel corrected standard errors (OLS-PCSE) estimation. Generalised least squares results (unreported but available on request) are consistent with the OLS-PCSE results. This is done for 110 developing countries, 50 Europe & Central Asia countries, 33 Latin American countries, 21 Middle East and North African (MENA) countries, 46 Sub-Saharan African (SSA) counties and 8 South Asia countries. The developing countries are further grouped into small, medium and large-size banking markets.

The study finds consistent results which indicate that the bigger a bank the less margin charged. The results further show an ambiguous relationship between concentration and net interest margin. The authors find strong evidence to show that less competition leads to inefficient banking market. The study finds lower operational efficiency can lead to higher or lower margin depending on the region or market size. General growth in the economy can lead to a more efficient banking market. The results allude to the fact that inflationary shocks do pass on to deposit and loan rates at different extent and speed. Little evidence show that higher presence of foreign banks leads to higher margins.

The study recommends Central banks to encourage banks to grow/expand either through mergers or acquisitions. This could be done by increasing minimum capital requirements. When this is done, it is most likely that economies of scale among the merged banking entities will be materialised, potentially causing a sizable reduction in overhead costs that could eventually also increase the intermediation efficiency. While at this, further efficiency should be ensured through stirring up competition.

This study is the first to give new evidence of banking spread using country level data for developing countries and across different continents.

The research reported here takes a complementary approach to the direct user/consumer studies, by measuring experts’ perceptions of the likely impact of new interactive media (NIM) on different product markets. This has two benefits. First, it provides a different (and, arguably, better‐informed) perspective on consumers’ likely future response to NIM from the perspective obtained by direct consumer research. Second, the perceptions of these and other experts will strongly influence firms’ investment in NIM and their applications, which will in turn strongly influence the impact on consumers.

This paper aims to examine the relationship between performance and some macro and micro variables in the Argentine commercial banking industry. Included are the profitability and interest variables; return on assets (ROA) and net interest margin (NIM) over the period of 1994 to 2011.

The empirical construct is guided by recent theories of banking performance that employ an industrial organization framework and two dependent variables (with identical control variables) to assure robustness and comparability in findings. The variables for the panel estimated generalized least square (panel EGLS) are constructed using income statements of 62 commercial banks (firm‐level data) as well as a number of industry‐specific and macroeconomic indicators.

Factors such as expense management (operating cost efficiency/inefficiency), leverage and liquidity appear to be important forces behind the net interest margins (NIM) and profits (ROA) in the Argentine banking industry. Higher return on assets (ROA) is associated with banks carrying less leverage and therefore displaying a lower ratio of debt to total assets. Higher interest margin (NIM) is associated with higher operating expenses. Regarding the macroeconomic variables, inflation negatively affects profitability but is positively and significantly related to net interest margin. Banking environment has a positive effect on performance, reflecting the complementarity between banking performance and stock market capitalization.

The paper's value lies in showing that a firm's specific variables reveal better insights when analyzed in relation to banking environment. Indirectly, some of the value of this work lies in highlighting the Central Bank's accommodative monetary policy that has been driving Argentina's economic recovery and credit boom arising in an inflationary environment.

This study aims to examine the effect of financial innovation, financial ratios, cost efficiency and good corporate governance on the financial performance of banks in Indonesia.

The data in this study are in the form of annual financial statements of conventional banks in Indonesia. The effect of cost efficiency, innovation and financial performance of banks in Indonesia is expected to be evident in 2009–2018. The research method used is the panel regression method.

The results show that financial innovation affects the financial performance of banks. Cost efficiency has a negative effect on the financial performance of banks. Financial ratio, which is proxied by the capital adequacy ratio (CAR) and loan to deposit ratio, has a positive effect on return on asset and net interest margin. Financial ratio, which is proxied by nonperforming loan and equity to total assets, has a negative effect on return on asset and return on equity. Good corporate governance (GCG), which is proxied by the proportion of managerial ownership (PMO), does not affect the financial performance of banks, whereas GCG, which is proxied by the proportion of independent board of directors, has a negative and significant effect on the financial performance of banks in Indonesia.

These results are a warning to bankers and the government to be cautious when formulating a strategy for the financial performance of banking.

Cost efficiency and financial innovation are important for the financial performance of banking. However, the possible impact of cost efficiency and financial innovation in Indonesia does not have a significant impact. The study uses static panel estimation techniques to analyze the data.

This paper aims to explore the feasibility of implementing the natural inventory model (NIM) developed by Jones (1996, 2003) in biodiverse wildlife corridor plantations, from a non-government organisations’ (NGO) perspective.

Undertaking the first cycle of an action research approach, the project involves collaboration with Greening Australia Tasmania (GAT). GAT is endeavouring to establish native wildlife corridors throughout the Tasmanian midlands, using science-based biodiverse plantations. The majority of the areas identified by GAT as essential for the establishment of these wildlife corridors are on privately owned land, primarily used for agricultural purposes. This paper explores whether stewardship of the land “sacrificed” by landowners may be demonstrated via the quantification and communication of improvements in biodiversity using the NIM.

Results suggest that the existing NIM is impractical for use by an NGO with limited resources. However, with some adaptations incorporating science-based measurements, the NIM can be used to account for biodiverse wildlife corridor plantations.

The findings have implications for not-for-profit, corporate and government sectors in terms of how accounting may facilitate the quantification and communication of conservation and restoration efforts.

Biodiversity loss is now considered to be a greater threat to the planet than climate change. Efforts to account for biodiversity are consistent with the UN 2030 Sustainable Development Agenda and the Australian Government’s “Biodiversity Conservation Strategy” (2010).

While prior studies have successfully implemented the NIM using secondary data, this is the first known to test the feasibility of the model using primary data in collaboration with an NGO.

This study analyzed the moderating effect of bank size on the relationship between financial soundness and financial performance of commercial banks in Kenya.

The study employed data from 39 commercial banks for ten years from 2009 to 2018. Panel data regression model was used to analyze data.

The study results established a negative moderating effect of bank size on the relationship between commercial banks' financial soundness and net interest margin (NIM) and return on assets (ROA) with the results indicating a correlation coefficient of −0.1699 and −0.218, respectively. However, an absence of moderating effect was established when return on equity (ROE) was used as a measure of financial performance.

The paper finding recommends that banks' management and other policy makers should consider the effect of bank size while devising financial soundness policies to ensure optimal level of banks' financial soundness aimed at improving banks' financial performance. In addition, bankers associations should come up with policies to standardize asset quality management practices to ensure continuous positive performance of the banking sector.

The study shows the contribution and applicability of the theory of production in the banking sector.

The study aims to analyze the effect of financial soundness on financial performance of commercial banks in Kenya.

The study used dynamic panel model to analyze data from commercial banks for the period 2009 to 2020. The study was modeled on the concept of CAMEL approach using five CAMEL variables as financial soundness indicators. Four indicators that is, net interest margin (NIM), earnings per share (EPS), return on assets (ROA) and return on equity (ROE) were used as measures of financial performance.

Generalized method of moments results established that financial soundness had a statistically significant effect on NIM, ROA and ROE. It was also found that asset quality and earning quality had a statistically significant effect on net interest margin. In addition management efficiency had significant effect on ROE. However, the study established that capital adequacy, asset quality, earning quality and liquidity had a statistically insignificant effect on ROA and ROE respectively while capital adequacy, management efficiency and liquidity had statistically insignificant effect on NIM.

Bank managers should put into place effective financial policies to govern changes in CAMEL variables to ensure optimal banks' financial soundness to facilitate positive growth in banks' financial performance.

The current study is modeled on the concept of the CAMEL approach by employing the five CAMEL variables as financial soundness indicators. In addition, the study contributes to local literature by examining banks in a developing economy to provide reliable and relevant information on their differences to monitor their dynamics in financial soundness and financial performance which could not be provided by regional or global studies.

The purpose of this paper was to investigate the determinants of Islamic banks’ profitability using longitudinal data from 1992 to 2008 of almost all Islamic banks in the world.

An unbalanced panel data fixed-effects regression model was used.

The results of the study indicate that capital ratio, other operating income, GDP per capita, bank size, concentration and oil prices affected Islamic banks positively. Insurance schemes, foreign ownership and real GDP growth affected Islamic banks negatively.

This study did not include data beyond 2008 (the financial crisis), which can be considered a limitation to this study. However, evidence suggests that including data beyond 2008 would not have changed the outcome of the study[1].

The paper adds to the literature on the determinants of Islamic banks’ profitability for the reasons mentioned above. In addition, this study used a purified sample of Islamic banks (see the Data section for details). Furthermore, to the author’s knowledge, this is the first time deposit insurance has been included in a study related to Islamic banks’ profitability.

The National Intelligence Model, described as a ‘model for policing’, defines a process for setting priorities and a framework in which problem solving can be applied. Its strength is a systematic approach that demands standard products and consistent methods of working, which ensure high levels of ownership and accountability. The problem solving approach can also work within this framework. It provides techniques to assist in analysis and develops the tasking and co‐ordinating mechanism through multi‐agency partnerships, which can deliver more sustainable solutions.