The measurement of the banking sector performance in Zimbabwe is motivated by the unique developments that typified the sector during the period 2009-2014 after emerging from an economic crisis. The Zimbabwean economy returned to stability and growth in 2009, after a decade long economic decline. Economic stability brought about growth in deposits, loans, assets, capitalization and profits during this period. The banking sector has been accused of excessive profiteering through overpricing their products, which culminated in the intervention by the authorities in the sector. The interest rates spread, fees and other charges were presumed to be high which motivated the need to understand whether the banking sector is efficient or inefficient given the high interest rate spreads between the deposit rates and lending rates. Furthermore the high interest rates have raised the question of whether banks were exploiting their market power to price their products highly or whether their prices were determined by the dictates of market forces. Continued profitability of the sector also called for an investigation into what was driving the persistence of profitability over time. The primary objective of this research was to measure the performance of the banking sector during the period 2009-2014. The study contributes to the empirical literature by measuring and assessing the drivers of banking sector competition, efficiency and profitability and applying them at much disaggregated levels. This study also contributes to the debate on the relationships among the performance measures of competition, profitability and efficiency. The study adopted a number of methods which contributes to the array of tools central banks can employ to measure bank performance. The study employed a number of methodologies to measure the competition, efficiency and profitability performance of the banking sector. Competition was estimated using the new empirical industrial organisation methods of Panza and Rose (1987) and the Lerner (1934) Index was used. Cost and revenue efficiency was estimated using the two step methods of Data Envelopment Analysis followed by the Tobit regression method. An assessment of the persistence and drivers of profitability was measured using the Generalised Method of Moments. This study shows that the banking sector was operating under monopolistic competition market structure. This implies that banks held some market power as a result of product differentiation due to unique features such as brands, image and advertising, among others. The study indicates that competition increased during the period 2009-2014. Market power/competition in the banking sector during the study period was driven by capital adequacy, non-performing loans, liquidity risk, cost-income ratio, economic growth and government policy on pricing of bank products. The study suggests that the banking sector experienced an average inefficiency level of approximately 35 per cent in relationship with the best performing institutions in the sample. As a result of stability experienced in the economy, the average revenue and cost efficiency increased between 2009 and 2014. The study further established that the discord around the implementation of the indigenisation and empowerment law, coupled with the government intervention in the banking sector had a negative impact on the banking sector efficiency. It also found that efficiency is determined by market power, capital adequacy, cost income ratio, economic growth, inflation, market share and profitability. The Granger Causality test between cost efficiency and market power suggests that causality is bidirectional. On the other hand granger causality between revenue efficiency and market power is unidirectional and positive, running from revenue efficiency to market power. The result implies that policy measures should bring a balance between increasing competition and improving the revenue efficiency. The study shows that the banking sector was profitable during the period 2009 to 2014. The profitability was a reflection of a stable macroeconomic environment, typified by low inflation levels, despite the crises during this period. It further reveals that the banking sector‟s profitability persisted over time, reflecting the regulatory structure of the sector. The study established that profitability was determined by market power, non-performing loans, liquidity risk, capital adequacy, bank size and cost efficiency. This implies profitability was driven by bank specific determinants. There are a number of policy implications derived from the study. Regulatory measures such as forced consolidations can lead to excessive market power by the banking institution; hence it should be moderated. Banks should enhance credit risk because NPLs has been dragging profits. Banks should take advantage of the various measures introduced, such as the setting up of the special purpose vehicle and credit reference bureau. The government should avoid tampering with market forces as this reduces competition, efficiency and profitability and put in place measures that grow the economy as it increases the efficiency and profitability of the banking sector.

The objective of this thesis is to see how effectively can central banks can conduct monetary policy under specific circumstances. Four hypothesis are being examined on the case study of five central banks - the Czech National Bank, the Central Bank of Chile, the Bank of Jamaica, the Central Bank of Argentina and the Swiss National Bank. Firstly this work confirms that solid monetary policy can be applied even if CB is dealing with loss based on inflation targeting success rate of central banks. Secondly, in the case of Czech National Bank using VAR, was concluded that inflation expectations can influence the outcome of CB's monetary policy. In the second part of this hypothesis the expectations from the government side in SNB case were examined. On the case of Argentina the negative effect of adjusting monetary policy was demonstrated. The last part elaborates on the topic of determining optimal capitalisation of central bank.

Thesis (M.S.)--Oregon State University, 2010. / Printout. Includes bibliographical references (leaves 17-19). Also available on the World Wide Web.

Thesis (Ph. D.)--University of Hawaiʻi, 2005. / Includes bibliographical references (leaves 141-146).

This thesis is concerned with the relationships between profit, profit persistence, risk and competition within the US commercial bank sector. In particular, the thesis asks three questions: how profit and profit persistence are affected by changes in regulation designed to enhance competition; how profit persistence varies over time according to changes in market and economic conditions; how different aspects of banks' risk is affected by competition and market structure. Understanding the nature of these relationships is important given the prominent role banks play in the allocation of resources, the provision of capital to the economy and the stability of the financial system. Moreover, these roles in turn, have an effect on bank performance and wider economic growth and stability. Such issues have especially come to prominence following the financial crisis and thus there is a need for empirical evidence on which to base policy. To examine these relationships the thesis implements panel estimation techniques and obtains data on all commercial banks, primarily over the period 1984-2009, thus including births and deaths. The key findings show, first, that profit persistence is relatively low compared to previous US banking studies and compared to manufacturing firms. Moreover, persistence varies with regulatory changes, although not always in the expected direction, notably the increase in persistence following the 1999 Gramm-Leach-Bliley Act. Second, additional time-variation in persistence is linked to bank specific, market structure and economic factors. Notably, persistence varies with bank size and market share, market concentration and output growth, but the precise nature of these relationships varies across the sample and by bank size. Third, that there is a difference in the nature of the relationship between competition and loan risk on the one hand and competition and total risk and leverage on the other. We also find that the relationship between risk and market structure varies according to bank size and that the economic cycle influences banks' risk. The implications and contribution of this thesis lie in establishing empirical evidence for understanding the nature of the relationships between competition, profits and risk. This is particularly prescient given the move towards new regulation following the financial crisis. Key results here show that no simple relationship exists between bank size or market concentration and competition and risk, therefore policy should account for such differences, whether according to bank size or type of risk.

Trust is essential for individuals. We want others to keep their promises and meet our expectations (Dan der Cruijsen et al., 2020, p.680-681). This also applies to banks. For many individuals, trusting their bank is essential to ensure financial security. The interest rate increases between 2022 and 2023, and the increased bank profits, as a result, caught the attention of many individuals. Could two events like these possibly disrupt individuals' trust toward banks? As a result of the high inflation in Sweden in recent years, interest rates increased significantly between 2022 and 2023 which shocked many individuals. Furthermore, banks' profits increased because of the increased interest rates. While banks are profit-making companies, they need to be cautious not to lose the trust of their customers.  This study is based on theories fundamental to answering the study's research questions and purpose. The purpose is to provide an understanding of the factors that affect individuals trust toward their main bank. In addition, the study analyzes factors that may influence the disruption of trust toward banks. The focus will be on whether the interest rate increases and banks' increased profits between 2022 and 2023 have disrupted individuals' trust. The theories used to respond to the purpose are the anchoring effect, point of reference, financial literacy, asymmetric information, and overconfidence.  A quantitative method was adapted for this study to collect data through a questionnaire. By building the questionnaire on appropriate theories, we could examine how our results were consistent with previous research. Later, a linear regression analysis was conducted in Stata based on our collected data. Correlation, multicollinearity, and heteroscedasticity were tested to obtain proper values.  The results from this study show several factors that affect individuals' trust toward banks. Also, it indicates that the sudden interest rate increases and the increased bank profits between 2022 and 2023 disrupt individuals' trust toward banks. Some factors that affect the level of trust are whether the individual has experience of incorrect financial advice, lives in a small city, and feels that they do not receive enough information from the bank. These factors can be linked to previous research on asymmetric information. Other factors that affect trust are how easily individuals generally trust other people and whether individuals visit a bank office for banking affairs. These factors can be linked to previous research on point of reference. Furthermore, individuals having an elementary school degree as the highest education level and unemployed individuals are factors affecting trust that can be linked to financial literacy. These mentioned factors are only a few, the remaining ones are to be found in the result.  This study provides a better insight into trust and trust disruption because of the two events, increased interest rates, and increased bank profits. The results are beneficial both for individuals and banks.

The role that banks as key intermediaries play in the modern economy activities is unquestionable, it is admitted that banks remain one of the key financial intermediaries that provide a variety of services in the economy of every state. However, not all financial intermediaries have a significant impact on modern economies, only a stable and profitable banking sector can adequately play the role of financial intermediary in economy. The bank, as an intermediary in the modern economy must be profitable, and this profitability depends on a number of factors that are referred to in this study as determinants of bank profitability. The effect of internal and external determinants of the bank profitability in South Africa is the main focus of this study. It utilized annual time series internal and external data for the period 2001 to 2013. Quantitative approach methodology using secondary data and panel data technique to measure the impact of the determinants was used in the study. The sample consists of nine banks, followed for 12 years and sampled annually. The results for bank-specific consist of four statistically significant variables such as bank size, non-interest income and non-interest expense and credit risk and four non-significant variables (equity capital, loan, saving deposit, fixe term deposit) also the industry-specific consist only one significant variable (market concentration) while macro-economic determinants consist of three non-significant variables (economic growth, inflation, and lending interest rate). In conclusion, the empirical result shows that the bank specific factors are directly controlled by the Management thereby it has a positive correlation to the bank profitability while the industry specific (market concentration) also positively affects the bank profitability. However, the macroeconomic variables which are beyond the scope of management control were non-significant to profitability but show positive sign. Therefore, the variables which are significant affect positively the bank profitability, and the non-significant variables affect the bank profitability negatively. The findings were consistent with mixed results found in prior literature. / Business Management / M. Com. (Business Management)

M.Comm. (Financial Management) / There is a wide perception that bank net interest margins (NIMs) in Sub-Saharan Africa in general and South Africa in particular, are higher compared to other regions. The study investigates four commercial banks in South Africa with the aim of identifying the relevant factors affecting the behaviour of NIMs in commercial banking in South Africa, and draws comparisons with other markets. The study employs the Classical Linear Regression Model (CLRM) using the Ordinary Least Squares (OLS) data estimating technique to analyse net interest margins over the period 2000 to 2010. The study takes note of Ho and Saunders’s seminal work produced in 1981, and subsequent extensions and modification by other authors and researchers. Net interest margins are modeled in a single-step together with explanatory variables driven from the theoretical model. Using data obtained from the Bankscope data base, the variables examined in the study are; competitive structure of the market, average operating costs, management’s propensity for risk aversion, credit risk exposure, the quantum of the bank’s operations, short-term money market interest rate volatility, the opportunity cost of holding reserves and quality of management running the institution. The findings of the study suggest that market power, average operating costs, degree of risk aversion, credit risk exposure, and size of operations are major factors explaining the behaviour of NIMs in South Africa. These variables are major in terms of the number of banks that exhibit statistical significance. Market power, interest rate volatility and opportunity cost of holding reserves are also relevant factors, although they affect fewer banks than the major factors. Comparison of South African net interest margins determinants with those from other regions reveals some fundamental differences. These differences indicate that banks from different countries and regions are faced with different operating environments and risk profiles that drive net interest margins.