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March 1998 Differences in interest margins reflect differences in bank characteristics, macroeconomic conditions, existing financial structure and taxation, regulation, and other institutional factors. Using bank data for 80 countries for 1988-95, Demirgüç-Kunt and Huizinga show that differences in interest margins and bank profitability reflect various determinants: * Bank characteristics. * Macroeconomic conditions. * Explicit and implicit bank taxes. * Regulation of deposit insurance. * General financial structure. * Several underlying legal and institutional indicators. Controlling for differences in bank activity, leverage, and the macroeconomic environment, they find (among other things) that: * Banks in countries with a more competitive banking sector-where banking assets constitute a larger share of GDP-have smaller margins and are less profitable. The bank concentration ratio also affects bank profitability; larger banks tend to have higher margins. * Well-capitalized banks have higher net interest margins and are more profitable. This is consistent with the fact that banks with higher capital ratios have a lower cost of funding because of lower prospective bankruptcy costs. * Differences in a bank's activity mix affect spread and profitability. Banks with relatively high noninterest-earning assets are less profitable. Also, banks that rely largely on deposits for their funding are less profitable, as deposits require more branching and other expenses. Similarly, variations in overhead and other operating costs are reflected in variations in bank interest margins, as banks pass their operating costs (including the corporate tax burden) on to their depositors and lenders. * In developing countries foreign banks have greater margins and profits than domestic banks. In industrial countries, the opposite is true. * Macroeconomic factors also explain variation in interest margins. Inflation is associated with higher realized interest margins and greater profitability. Inflation brings higher costs-more transactions and generally more extensive branch networks-and also more income from bank float. Bank income increases more with inflation than bank costs do. * There is evidence that the corporate tax burden is fully passed on to bank customers in poor and rich countries alike. * Legal and institutional differences matter. Indicators of better contract enforcement, efficiency in the legal system, and lack of corruption are associated with lower realized interest margins and lower profitability. This paper-a product of the Development Research Group-is part of a larger effort in the group to study bank efficiency.
We analyze how bank profitability impacts financial stability from both theoretical and empirical perspectives. We first develop a theoretical model of the relationship between bank profitability and financial stability by exploring the role of non-interest income and retail-oriented business models. We then conduct panel regression analysis to examine the empirical determinants of bank risks and profitability, and how the level and the source of bank profitability affect risks for 431 publicly traded banks (U.S., advanced Europe, and GSIBs) from 2004 to 2017. Results reveal that profitability is negatively associated with both a bank’s contribution to systemic risk and its idiosyncratic risk, and an over-reliance on non-interest income, wholesale funding and leverage is associated with higher risks. Low competition is associated with low idiosyncratic risk but a high contribution to systemic risk. Lastly, the problem loans ratio and the cost-to-income ratio are found to be key factors that influence bank profitability. The paper’s findings suggest that policy makers should strive to better understand the source of bank profitability, especially where there is an over-reliance on market-based non-interest income, leverage, and wholesale funding.
This report examines the interplay between banking competition and financial stability, taking into account the experiences in the recent global crisis and the policy response to it. The report has been prepared by members of the Directorate of ...
Cooperative banks are an important, and growing, part of many financial systems. This paper empirically analyzes the role of cooperative banks in financial stability. Contrary to some suggestions in the literature, we find that cooperative banks are more stable than commercial banks. This finding is due to the lower volatility of the cooperative banks' returns, which more than offsets their lower profitability and capitalization. This is most likely due to cooperative banks' ability to use customer surplus as a cushion in weaker periods. We also find that in systems with a high presence of cooperative banks, weak commercial banks are less stable than they would be otherwise. The overall impact of a higher cooperative presence on bank stability is positive on average but insignificant in some specifications.
Countries differ in the extent to which their financial systems are bank-based or market-based. The financial systems of Germany and Japan, for example, are considered bank-based because banks play a leading role in mobilizing savings, allocating capital, overseeing investment decisions of corporate managers, and providing risk management vehicles. The systems of the United States, and the United Kingdom are considered more market-based. Using bank-level data for a large number of industrial and developing countries, the authors present evidence about the impact of financial development, and structure on bank performance. They measure the relative importance of bank or market finance by the relative size of stock aggregates, by relative trading or transaction volumes, and by indicators of relative efficiency. They show that in developing countries, both banks and stock markets are less developed, but financial systems tend to be more bank-based. The richer the country, the more active are all financial intermediaries. The greater the development of a country's banks, the tougher is the competition, the greater is the efficiency, and the lower are the bank margins, and profits. The more under-developed the stock market, the greater are the bank profits. But financial structure per se does not have a significant, independent influence on bank margins, and profits.
This book presents the underlying theory, model development, and applications of network Data Envelopment Analysis (DEA) in a systematic way. The field of network DEA extends and complements conventional DEA by considering not only inputs and outputs when measuring system efficiency, but also the internal structure of the system being analyzed. By analyzing the efficiency of individual internal components, and more particularly by studying the effects of relationships among components which are modeled and implemented by means of various network structures, the “network DEA” approach is able to help identify and manage the specific components that contribute inefficiencies into the overall systems. This relatively new approach comprises an important analytical tool based on mathematical programming techniques, with valuable implications to production and operations management. The existing models for measuring the efficiency of systems of specific network structures are also discussed, and the relationships between the system and component efficiencies are explored. This book should be able to inspire new research and new applications based on the current state of the art. Performance evaluation is an important task in management, and is needed to (i) better understand the past accomplishments of an organization and (ii) plan for its future development. However, this task becomes rather challenging when multiple performance metrics are involved. DEA is a powerful tool to cope with such issues. For systems or operations composed of interrelated processes, managers need to know how the performances of the various processes evaluated and how they are aggregated to form the overall performance of the system. This book provides an advanced exposition on performance evaluation of systems with network structures. It explores the network nature of most production and operation systems, and explains why network analyses are necessary.
Is the fall in overall productivity growth in the United States and other developed countries related to the rising share of the service sectors in the economy? Since services represent well over half of the U.S. gross national product, it is also important to ask whether these sectors have had a slow rate of growth, as this would act as a major drag on the productivity growth of the overall economy and on its competitive performance. In this timely volume, leading experts from government and academia argue that faulty statistics have prevented a clear understanding of these issues.
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This study examines the current state of banking within Europe. It describes how banks are experiencing greater deregulation, allowing for stronger competition and a more restrictive regulation of supervision. This has led to corporate restructuring within the banking industry.