Explore publications.

This study examined the effect of deposit diversification on the financial performance of Deposit-Taking Savings and Credit Cooperative Societies (DT-SACCOs) in Kenya and evaluated the moderating effect of corporate governance on this relationship.  The study adopted a positivist research philosophy and a causal research design. The target population comprised 176 SASRA-licensed DT-SACCOs in Kenya, from which 122 SACCOs with complete financial records for the period 2015–2024 were selected using simple random sampling. Panel data techniques, including fixed-effects and random-effects regression models, were employed to estimate the direct and moderating effects, while hierarchical regression was used to test the moderation hypothesis. The findings revealed that non-withdrawable deposits significantly and positively influenced both surplus and dividend payout after introducing lags, whereas withdrawable deposits had no significant effect on financial performance. The results further established that corporate governance had a positive and significant direct effect on financial performance and significantly strengthened the relationship between deposit diversification and financial performance. The findings provide practical guidance for DT-SACCO managers and policymakers to strengthen stable deposit mobilization and corporate governance as mechanisms for enhancing financial sustainability and institutional performance.

SMEs (Small and Medium Enterprises) play a critical role in Senegal's economy. Some SMEs choose to work with only one bank (monobanking), while others engage with multiple banks (multibanking). This study aims to examine both internal and external determinants that influence SMEs' decision to opt for multibanking. Using data collected from 105 SME managers in Senegal, the research employs multinomial logistic regression which shows that internal factors such as the size of the SME, its maturity, and the manager's experience, significantly drive multibanking, while external factors, such as the quality of banking services, negatively influence this decision. Knowledge of these factors could help to improve the bank-SME relationship, resulting in a win-win situation that better meets the needs of SMEs and increases the loyalty of the main bank's customers. This could contribute to better performance for both players.

This study examines the impacts of credit risk management on the growth of Nigerian banks. Specifically, the study focused mainly on the impacts of credit risk management among Deposit Money Banks in Nigeria. The study employed an ex-post facto research design, utilising secondary data from the financial information of 14 selected listed Deposit Money Banks from 2007 to 2022. The study population was defined as the total number of listed Deposit Money Banks, from which a sample of six banks was selected using a simple random sampling technique. The operationalisation of variables included (1) the use of natural logarithm for bank size, (2) a three-level scale for credit risk, and (3) alternative measurements for collateral management and credit scores. Data analysis involved the calculation of descriptive statistics, correlation analysis, variance inflation factors, and regression analysis. The research hypotheses are also validated to assess the significance of various factors in credit risk management. The findings revealed that credit scores significantly enhance the effectiveness of credit risk assessment, and collateral management did not significantly contribute to mitigating credit risk. The findings also revealed that default risk management significantly reduces the credit risk of Deposit Money Banks in Nigeria. These results highlight the intricate nature of credit risk management in the banking sector and emphasize the need for a multifaceted approach.

This study assesses the determinants of bank deposit flows under changing economic conditions by applying the dynamic panel two-step generalized methods of moments technique to annual observations covering 2007 to 2022 of 12 commercial banks in South Africa. The analysis revealed past deposit flow, profitability, bank size, and capital adequacy ratio as constituting a set of bank-specific variables with a positive predictive influence on deposit flows. At the same time, expenditure drives an adverse impact on deposits. These dynamics posit important implications for efficiency in bank expenditure management to sustain the inflow of depositors’ flows. Also, the results show the existence of a positive relationship between the unemployment rate and deposit flow, which is unexpected in practice, as an increase in joblessness in the country implies a decline in the financial capacity of the population to contribute to bank saving portfolios. However, the unexpected interaction between unemployment and deposit flow in this context can be explained by the adaptive principles of market interactions as the relationship between financial variables is unlikely to be the same under different economic conditions. Moreover, the analysis shows a positive effect of the economic condition on deposit flows which implies that an increase in national productivity exerts an impressive on the flow of depositors' funds to the banks based on market expansion and rapid growth momentum. Based on the findings, strategies to ensure the sustenance of a conducive macroeconomic environment should be reinforced by policymakers as the dynamics of bank deposit flows are linked to the direction of the current economic condition.

This study investigates the impact of Credit Risk Management (CRM) on resilience in non-bank financial institutions (NBFIs) and explores how Customer Relationship Management (CREM) moderates this relationship. Using Partial Least Squares Structural Equation Modeling (PLS-SEM) with data from credit risk managers in the National Capital Region, the study finds that CRM significantly enhances resilience. Moreover, CREM strengthens the impact of credit risk management on resilience, demonstrating a synergistic effect. The findings suggest that NBFIs should integrate CRM and CREM strategies to improve organizational resilience, offering a valuable framework for enhancing stability amidst economic challenges.

Savings and Credit Co-operatives in Kenya are required to adhere to regulations set by the SACCOs Regulation Authority. Among the regulations is the requirement that the management has to present a myriad of reports including; the Capital Adequacy Return report, Liquidity Statement report, Statement of Financial Position and Statement of Deposit Return. The Return on Investments report compares land, building, and financial assets to SACCO's total assets and its core capital. Despite the existence of prudential guidelines, their influence on the financial performance of deposit-taking SACCOs in Kenya remains contentious with some claiming regulatory compliance in the form of SASRA prudential guidelines has a positive influence while others argue that SASRA regulation has insignificant influence on the financial performance of deposit taking SACCOs. This study seeks to determine the effect of loan-loss provisioning on the financial performance of Deposit-taking SACCOs in Kirinyaga County, Kenya. The study adopted a cross-section descriptive research design. The study population was 10 deposit-taking SACCOs in Kirinyaga County over the period 2017-2022 relying on secondary data. Data analysis involved descriptive and inferential statistics. From the inferential results, the study concluded that loan-loss provisioning positively and significantly affected the financial performance of the deposit-taking SACCOs in Kirinyaga County. The study recommended that the deposit-taking SACCOs in Kirinyaga County ought to strive to be capital-adequate as well as manage their loans efficiently. Being capital-adequate ensures that the SACCOs can expand their operations and hence be sustainable, competitive, and finally profitable. Managing its loans through periodic classification of the loans and having room for loan loss provision ensures the sustainability of the SACCOs.

This study investigated the causal interactions between macroprudential policy, measured by the Macroprudential Policy Index (MPI), and financial cycles represented by the Aggregate Financial Cycle (AFC) and the Credit and Asset Prices Financial Cycle (CAFC) in South Africa from 1970q1 to 2023q2. Additionally, the study explored the effects of macroprudential policy during different phases of financial cycles. Using the time-varying Granger-causality model, the study found that the MPI Granger-caused financial cycles during the 2003/07 credit boom in South Africa, while the AFC and CAFC Granger-caused macroprudential policy during the Covid-19-induced collapse of financial markets. The results suggest that macroprudential policy is employed more proactively during financial booms and more reactively during financial busts in South Africa. The Markov switching dynamic regression model used to assess the MPI's effects revealed that macroprudential policy's effectiveness is stronger during financial busts and weaker during financial booms in South Africa. This is because financial institutions in South Africa tend to resist stricter regulations during boom phases due to heightened optimism about future prospects. Conversely, they are more receptive to stimulatory interventions during bust phases. Based on these findings, it is recommended that the South African Reserve Bank and the Prudential Authority use macroprudential policy more assertively during financial booms to enhance its effectiveness. This could involve setting more stringent parameters upon activating macroprudential policy tools or complementing macroprudential policy with monetary policy during financial booms.

This paper examines the consequences of banks’ performance on bank risk. The paper forms a theoretical model and delivers empirical evidence to identify that banks suffer in performance as the loans become bad. Using panel data from a sample of five (05) South-Asian emerging economies from 2011 to 2019, we have found that the banks are highly influenced by the development of non-performing loans (NPLs). We have primarily used Return on Asset (ROA) followed by Return on Equity (ROE) as a substitution to the performance of the banks and NPL as the proxy of bank risk. Simultaneous regression applying 3sls finds that Non-Performing Loan (NPL) hinders banks' growth, negatively affecting their profitability.

The financial performance of banks relies heavily on properly utilizing their capital. However, bank ownership can have varying effects on the relationship between financial performance and capital. This study delves into this relationship by examining the impact of ownership on financial performance and bank capital. The study analyzes data from 44 commercial banks in Bangladesh and uses a two-step system generalized method of moments to address heteroscedasticity and autocorrelation issues. Unlike previous studies, this study confirms the significant effect of ownership on the relationship between bank financial performance and bank capital. The study's main findings are: (1) an inverted U-shaped relationship exists between bank capital and financial performance, implying that increasing capital can improve and reduce financial performance. (2) Private and Islamic commercial banks perform better than state-owned and conventional banks. (3) private-owned and Islamic commercial banks with higher capital are more likely to achieve higher profitability and financial success, while state-owned and conventional commercial banks with higher capital show lower profitability and weaker financial performance. Overall, this study offers significant practical implications for academics, researchers, and regulators interested in leveraging these findings.

Stokvel is a term used in South Africa to denote an informal saving club. A large population of South Africa are members of one stokvel or the other. A large amount of stokvel savings go unaccounted for in the banking sector resulting in distortions in the flow of funds in the banking sector. Thus, the objective of this paper was to establish the presence of a long-run relationship and causality between stokvel savings, money supply, gross domestic product growth rate and banking sector liquidity in South Africa. Applying the Autoregressive Distributed Lag (ARDL) and Error Correction Model (ECM) techniques on quarterly time series data for the period from 1987Q3 to 2020Q1, the study reveals that in the long run, stokvel savings and money supply were found to have a negative relationship with banking sector liquidity albeit insignificant, however, gross domestic product growth rate exhibited a negative and statistically significant relationship at 1%. The coefficient of the error correction model (ECM(-1)) was, as expected, negative and statistically significant thus providing evidence of a short-run relationship. This study concludes that informal savings must be included in the formal banking services to harness the cash that is held by the informal sector and thus improve banking sector liquidity while minimizing the prevalence of financial disintermediation.

The purpose of this study is to examine the relationship between portfolio diversification, government regulations, and the financial performance of DT SACCOs in Nairobi County, Kenya. It aims to determine the impact of financial asset investment on the financial performance of deposit-taking SACCOs in Nairobi County, Kenya; the impact of loan portfolios on the financial performance of deposit-taking SACCOs in Nairobi County; and the moderating effect of government regulations on the relationship between portfolio diversification and the financial performance of deposit-taking SACCOs in Nairobi County, Kenya. Capital market theory, modern portfolio theory, risk aversion theory, arbitrage portfolio theory, and decision-making theory will serve as the study's foundation. For the period under review, secondary data will be collected from audited annual financial statements included in SASRA reports.

The main objective of this study is to assess the impact of non-performing loans on bank lending behavior before and amid the COVID-19 pandemic. To do this research we have chosen fifteen private commercial banks in Bangladesh and data were taken from the year 2012 to the year 2021. Credit growth as a component of bank lending behavior was selected as the dependent variable and independent variables are non-performing loans to total loans, provision for loan losses to total loans, gross domestic product (GDP) rate, inflation rate, unemployment rate, total loans to total customer deposit, total equity to total asset, tier 1 ratio, growth of customer deposits, the dummy variables are used for incorporating the effect of covid-19. The paper suggests that NPL to total loan, provision for loan losses to total loan, total equity to total asset, and dummy variables (effect of covid-19 on NPL) are found statistically significant and inversely related to credit growth. Another three variables namely total loan to total deposit, deposit growth, and inflation variables are statistically significant and positively related to credit growth. All of the significant variables are consistent with general economic theory except the case for total equity to the total asset. To reduce non-performing loans, the banks may concentrate on improving corporate governance, maintaining strong loan review, thoroughly reviewing the KYC form, must ensure safety principles before approving a loan, collecting information from the CIB, accepting adequate collateral, examining the five C’s, name lending and connected party lending should be strictly prohibited which are quite related with behavioral and judgmental issues, would be a matter of further research.

The country's macroeconomic conditions, whether directly and indirectly will influence the development of the financial and banking sector. This study aims to determine the effect of macroeconomic and internal company variables consisting of BOPO, ROA, money supply, and the unemployment rate on non-performing loans (NPL) in Indonesian banking, especially Regional Development Banks (BPD). The sampling technique used is purposive sampling technique. There are 20 Regional Development Banks (BPD) that met the requirements determined by the observation period from 2008-2021. The data processing method used is panel data regression. Model selection uses the Chow test, Hausman test and Langgrange Multiplier test (LM Test). Based on this, the appropriate model is the Fixed Effect Model (FEM). Testing the classical assumptions of FEM shows that there is a heteroscedasticity problem, then it is recovered using the Feasible Generalized Least Square (FGLS). The results of the analysis show that the variables BOPO, ROA, money supply, and unemployment rates both simultaneously and individually have a significant positive effect on the NPL of Regional Development Banks.

The African farming sector suffers from insufficient finance. Climate changes and socio-political issues hold down the required production level while food on the continent is still inadequate, with more vulnerable people on the one side. On the other side, credit institutions need reasons and guarantees to raise their risk-taking level (financial benefits). Then, this study tries to conciliate those two sides with new shreds of evidence by demonstrating the short and long-run effects of agricultural production on bank sustainability in 40 Sub-Saharan African countries. The study used different agro-production factors (Food and Cereal production factors), bank stability proxies (Liquidity Ratio, NPLs, LLRs), and bank profitability proxies (ROA and ROE). The GMM, DFE, and FMOLS models were used for short (with the 2010-2019 dataset) and long-run analysis (with the 1970-2018 dataset). The results demonstrated that agricultural production increases bank stability and profitability but reduces bank risks. The study concludes that farming finance increases agro-production and stabilizes banks (win-win). Governments, via central banks, should encourage commercial banks to increase bank risk-taking levels to sustain their banking system, increase farming production, and improve food security.

This study aims to examine the association between banks and firms in a loan. Our data set was pooled cross section data from 2014 to 2016, with long-term loans of firms listed in Indonesia Stock Exchange as a unit of analysis. We estimate our regression model using ordinary least square (OLS) estimator. The results revealed that lower-risk banks tend to associate with riskier but well-performing firms. Similarly, lower-capital banks tend to associate with riskier but well-performing firms. These results are quite contrary to previous studies conducted in developed countries. Lower risk banks have relationship with riskier and well-performing firms in condition that the amount of loan is small enough to be considered safe. Meanwhile, lower capital banks in this study, especially in Indonesia, may face the geographical problem which drives cost so high that makes banks charge higher interest to possibly riskier firms. This study makes contribution by providing evidence from a relative fragmented credit market. Future research on this topic is encouraged to look out more detail especially in the causality interpretation.

This study examines the link between bank performance and bank stability in the context of African countries. Using the Augmented Mean Group (AMG) estimator and panel data from 16 selected African countries covering the period 2002–2019, this study considers whether the banking sector's performance influences the banking system's financial stability. The findings reveal a significant positive long-run relationship between ROA and financial stability. This was the case when the AMG estimator was employed and when the CCEMG was employed to check for robustness. Inflation was initially negative and insignificant but a highly significant determinant when a more robust method (CCEMG) was used. Economic growth has a negative relationship using both estimators but is insignificant, while trade openness and non-interest income had insignificant coefficients in both estimators. The granger causality results show a one-way causality established to bank stability in the case of bank performance and trade openness. In addition, there was a non-causal relationship between bank stability, non-interest income and inflation as against a double-track causation between bank stability and economic growth. African countries should strive to improve bank performance to enhance the stability of the sector.

This paper examined bank-specific performance indicators and macroeconomic factors affecting the short-term financing obligation of Nigerian banks from 2010 to 2019. The data for the study are sourced annually from the financial statements of the selected Deposit Money Banks and the Central Bank of Nigeria Statistical Bulletin. The panel unit root and co-integration tests are employed to ascertain the sustainability of the bank-specific performance indicators. The models for the industry were cast in a host of panel frameworks such that we estimated the static and dynamic panel models. The study observed that the capital adequacy ratio, which is the short-term financing obligation of Nigerian banks was elastic to bank profitability positively. In addition, interbank call rate, bank size, and oil price positively influence the capital adequacy ratio over time, whereas loan-to-deposit ratio, inflation and exchange rate exacerbate the capital adequacy ratio. Consequently, we canvass that Nigerian banks should reduce dividend payouts and increase retained profits as a buffer against exposed risks.

The Kenyan banking sector is categorized into three tiers, tier I, II and III based on bank size. The profitability of tier II and III has been declining begging the question as to whether the size of the bank has any influence on the performance of the banks. This study determines the influence of internal equity capital on the financial performance of lower-tier commercial banks in Kenya. The study employed a descriptive and explanatory research design. The study population was 26 commercial banks in Tier II and III commercial banks in Kenya from 2016 to 2020. The average internal equity for lower-tier commercial banks in Kenya was .364 in 2016 and .400 in 2017. In 2018, the internal equity sharply rose to 8.299, which was followed by a small decline to 7.782 in 2019 signifying that in 2018 and 2019, lower-tier commercial banks in Kenya employed more internal equity financing to finance their operations. Through the hierarchical regression, it was established that internal equity has a positive and significant influence on the financial performance of lower-tier commercial banks in Kenya. Bank size does not moderate the effect of internal equity on the net profit margin of lower-tier commercial banks in Kenya (p = .202>0.05; R2 change of 0.07). The study recommends that lower-tier commercial banks need to encourage its shareholders to re-invest back their earnings rather than consuming them as dividends as internal equity is affordable and readily available when the bank is in urgent financial need.  

This paper assesses the determinants of the lending of six commercial banks in Tanzania from 2015 to 2019 using a quantitative research design. The data were collected from Annual Reports of the six commercial banks. The results show that liquidity and capital adequacies have a significant relationship with lending, whereas interest rate and management efficiency have no statistically significant influence on lending. Thus, effective policies should be developed to ensure commercial banks grow and be able to advance more credit. Additionally, the banking sector needs to prioritize increasing the liquidity ratio to ultimately strengthen the bank's financial position. Furthermore, commercial banks should be more innovative in their lending since different sectors present different risk profiles. Lastly, Commercial banks management needs to employ capital growth strategies to enhance the banks’ capital conservation buffer that requires banks to build up extra buffers outside periods of stress.

This study examines the influence of macroeconomic factors, namely Inflation, Gross Domestic Production (G.D.P.) and changes in oil price and Bank-Specific Factors such as capital, asset size, liquidity risk, loan and deposit on bank profitability as measured by return on equity (R.O.E.) and net profit ratio (NPR) during the period of oil price decline, 2013-2017. The top 7 commercial banks were chosen as a sample of the study based on the availability of the data and the possible influence it can contribute to representing Oman's banking industry. The quantitative approach utilized appropriate statistical tools to analyze and interpret the secondary data gathered, including descriptive statistics, panel regression, Pearson correlation, and correlation matrix. Key findings of the study revealed no significant relationship between macroeconomic factors and the return on equity. There is also no significant relationship between macroeconomic factors and the net profit ratio. On the other hand, bank-specific factors significantly correlate return on equity and the net profit ratio. The study's findings contribute to the bank's management, economic policymakers, a research body, and academia in distinguishing the best indicator for a bank's profitability influenced by macroeconomic and bank-specific factors.