This paper develops a model where large financial intermediaries subject to systemic runs internalize the effect of their leverage on aggregate risk, returns and asset prices. Near the steady-state, they restrict leverage to avoid the risk of a run which gives rise to an accelerator effect. For large adverse shocks, the system enters a zone with high leverage and possibly runs. The length of time the system remains in this zone depends on the degree of concentration through a franchise value, price-drop and recapitalization channels. The speed of entry of new banks after a collapse has a stabilizing effect.
This paper studies two new models in which banks face a non-trivial asset allocation decision. The first model (CVH) predicts a negative relationship between banks' risk of failure and concentration, indicating a trade-off between competition and stability. The second model (BDN) predicts a positive relationship, suggesting no such trade-off exists. Both models can predict a negative relationship between concentration and bank loan-to-asset ratios, and a nonmonotonic relationship between bank concentration and profitability. We explore these predictions empirically using a cross-sectional sample of about 2,500 U.S. banks in 2003 and a panel data set of about 2,600 banks in 134 nonindustrialized countries for 1993-2004. In both these samples, we find that banks' probability of failure is positively and significantly related to concentration, loan-to-asset ratios are negatively and significantly related to concentration, and bank profits are positively and significantly related to concentration. Thus, the risk predictions of the CVH model are rejected, those of the BDN model are not, there is no trade-off between bank competition and stability, and bank competition fosters the willingness of banks to lend.
We study versions of a general equilibrium banking model with moral hazard under either constant or increasing returns to scale of the intermediation technology used by banks to screen and/or monitor borrowers. If the intermediation technology exhibits increasing returns to scale, or it is relatively efficient, then perfect competition is optimal and supports the lowest feasible level of bank risk. Conversely, if the intermediation technology exhibits constant returns to scale, or is relatively inefficient, then imperfect competition and intermediate levels of bank risks are optimal. These results are empirically relevant and carry significant implications for financial policy.
A distinguished economist examines competition, regulation, and stability in today's global banks Does too much competition in banking hurt society? What policies can best protect and stabilize banking without stifling it? Institutional responses to such questions have evolved over time, from interventionist regulatory control after the Great Depression to the liberalization policies that started in the United States in the 1970s. The global financial crisis of 2007–2009, which originated from an oversupply of credit, once again raised questions about excessive banking competition and what should be done about it. Competition and Stability in Banking addresses the critical relationships between competition, regulation, and stability, and the implications of coordinating banking regulations with competition policies. Xavier Vives argues that while competition is not responsible for fragility in banking, there are trade-offs between competition and stability. Well-designed regulations would alleviate these trade-offs but not eliminate them, and the specificity of competition in banking should be accounted for. Vives argues that regulation and competition policy should be coordinated, with tighter prudential requirements in more competitive situations, but he also shows that supervisory and competition authorities should stand separate from each other, each pursuing its own objective. Vives reviews the theory and empirics of banking competition, drawing on up-to-date analysis that incorporates the characteristics of modern market-based banking, and he looks at regulation, competition policies, and crisis interventions in Europe and the United States, as well as in emerging economies. Focusing on why banking competition policies are necessary, Competition and Stability in Banking examines regulation's impact on the industry's efficiency and effectiveness.
FinTech is a major force shaping the structure of the financial industry in sub-Saharan Africa. New technologies are being developed and implemented in sub-Saharan Africa with the potential to change the competitive landscape in the financial industry. While it raises concerns on the emergence of vulnerabilities, FinTech challenges traditional structures and creates efficiency gains by opening up the financial services value chain. Today, FinTech is emerging as a technological enabler in the region, improving financial inclusion and serving as a catalyst for the emergence of innovations in other sectors, such as agriculture and infrastructure.
This paper brings to the forefront the assumptions that we make when focussing on a particular type of explanation for bank profitability. We evaluate a broad field of research by introducing a general framework for a profit maximizing bank and demonstrate how different types of models can be fitted into this framework. Next, we present an overview of the current major trends in European banking and relate them to each model's assumptions, thereby shedding light on the relevance, timeliness and shelf life of the different models. This way, we arrive at a set of recommendations for a future research agenda. We advocate a more prominent role for output prices, and suggest a modification of the intermediation approach. We also suggest ways to more clearly distinguish between market power and effciency, and explain why we need time-dependent models. Finally, we propose the application of existing models to different size classes and sub-markets. Throughout we emphasize the benefits from applying several, complementary models to overcome the identification problems that we observe in individual models.
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 ...
Monetary History, Exchange Rates and Financial Markets is an impressive collection of original papers in honour of Charles Goodhart's outstanding contribution to monetary economics and policy. Charles Goodhart has written extensively on many of these topics and has become synonymous with his field; the chapters within this book offer a summary of current thinking on his own research subjects and include perspectives on controversies surrounding them.
More developed financial systems are associated with higher investment and better economic performance. This paper discusses possible factors that may inhibit a deepening of bank intermediation and more efficient banking in Brazil, two aspects that are found to be significantly different than in leading banking systems in other parts of the world. Using panel data, it finds positive evidence of the presence of a noncompetitive market structure in the Brazilian banking system, a factor that could explain why intermediation may be relatively low and costly. When banks behave like local monopolies or oligopolies, incentives to improve efficiency are weak and the interest rate spread is large, discouraging higher lending volumes.
The aim of this paper is twofold: first, to study the determinants of banks’ net interest margin with a particular focus on the role of maturity transformation, using a new measure of maturity mismatch; second, to analyse the implications for banks from the relaxation of a binding prudential limit on maturity mismatch, in place in Italy until mid-2000s. The results show that maturity transformation is a relevant driver of the net interest margin, as higher maturity transformation is typically associated with higher net interest margin. However, ‘excessive’ maturity transformation— even without leading to systemic vulnerabilities— increases banks’ interest rate risk exposure and lowers their net interest margin.
