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"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 2007-09, 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, the United States, as well as emerging economies. Focusing on why banking competition policies are necessary, Competition and Stability in Banking examines regulation's effect on the industry's efficiency and effectiveness."

The paper analyzes a very stylized model of crises and demonstrates how the degree of strategic complementarity in the actions of investors is a critical determinant of fragility. It is shown how the balance sheet composition of a financial intermediary, parameters of the information structure (precisions of public and private information), and the level of stress indicators in the market impinge on the degree of strategic complementarity. The model distinguishes between solvency and liquidity risk and characterizes them. Both a solvency (leverage) and a liquidity ratio are required to control the probabilities of insolvency and illiquidity. It is found that in a more competitive environment (with higher return on short-term debt) the solvency requirement has to be strengthened, and in an environment where the fire sales penalty is higher and fund managers are more conservative the liquidity requirement has to be strengthened while the solvency one relaxed. Higher disclosure or introducing a derivatives market may backfire, aggravating fragility (in particular when the asset side of a financial intermediary is opaque) and, correspondingly, liquidity requirements should be tightened. The model is applied to interpret the 2007 run on SIV and ABCP conduits.

This paper presents a market with asymmetric information where a privately revealing equilibrium obtains in a competitive framework and where incentives to acquire information are preserved. The equilibrium is efficient, and the paradoxes associated with fully revealing rational expectations equilibria are precluded without resorting to noise traders. The model admits a reinterpretation in which behavioral traders coexist with rational traders, and it allows us to characterize the amount of induced mispricing.

This paper performs a welfare analysis of economies with private information when public information is endogenously generated and agents can condition on noisy public statistics in the rational expectations tradition. We find that equilibrium is not (restricted) efficient even when feasible allocations share similar properties to the market context (e.g., linear in information). The reason is that the market in general does not internalize the informational externality when public statistics (e.g., prices) convey information. Under strategic substitutability, equilibrium prices will tend to convey too little information when the "informational" role of prices prevails over its index of "scarcity" role and too much information in the opposite case. Under strategic complementarity, prices always convey too little information. These results extend to the internal efficiency benchmark (accounting only for the collective welfare of the active players). However, received results - on the relative weights placed by agents on private and public information, when the latter is exogenous - may be overturned.

I review the state of the art of the academic theoretical and empirical literature on the potential trade-off between competition and stability in banking. There are two basic channels through which competition may increase instability: by exacerbating the coordination problem of depositors/investors on the liability side and fostering runs/panics, and by increasing incentives to take risk and raise failure probabilities. The competition-stability trade-off is characterized and the implications of the analysis for regulation and competition policy are derived. It is found that optimal regulation may depend on the intensity of competition.

A model is presented of a uniform price auction where bidders compete in demand schedules; the model allows for common and private values in the absence of exogenous noise. It is shown how private information yields more market power than the levels seen with full information. Results obtained here are broadly consistent with evidence from asset auctions, may help explain the response of central banks to the crisis, and suggest potential improvements in the auction formats of asset auctions.

A finite number of sellers (n) compete in schedules to supply an elastic demand. The costs of the sellers have uncertain common and private value components and there is no exogenous noise in the system. A Bayesian supply function equilibrium is characterized; the equilibrium is privately revealing and the incentives to acquire information are preserved. Price-cost margins and bid shading are affected by the parameters of the information structure: supply functions are steeper with more noise in the private signals or more correlation among the costs parameters. In fact, for large values of noise or correlation supply functions are downward sloping, margins are larger than the Cournot ones, and as we approach the common value case they tend to the collusive level. Private information coupled with strategic behavior induces additional distortionary market power above full information levels and welfare losses which can be counteracted by subsidies. As the market grows large the equilibrium becomes price-taking, bid shading is of the order of 1/ n , and the order of magnitude of welfare losses is 1/ n2 [hoch 2] . The results extend to demand schedule competition and a range of applications in product and financial markets are presented.

The ways financial analysts, traders, and other specialists use information and learn from each other are of fundamental importance to understanding how markets work and prices are set. This graduate-level textbook analyzes how markets aggregate information and examines the impacts of specific market arrangements--or microstructure--on the aggregation process and overall performance of financial markets. Xavier Vives bridges the gap between the two primary views of markets--informational efficiency and herding--and uses a coherent game-theoretic framework to bring together the latest results from the rational expectations and herding literatures. Vives emphasizes the consequences of market interaction and social learning for informational and economic efficiency. He looks closely at information aggregation mechanisms, progressing from simple to complex environments: from static to dynamic models; from competitive to strategic agents; and from simple market strategies such as noncontingent orders or quantities to complex ones like price contingent orders or demand schedules. Vives finds that contending theories like informational efficiency and herding build on the same principles of Bayesian decision making and that "irrational" agents are not needed to explain herding behavior, booms, and crashes. As this book shows, the microstructure of a market is the crucial factor in the informational efficiency of prices. Provides the most complete analysis of the ways markets aggregate information Bridges the gap between the rational expectations and herding literatures Includes exercises with solutions Serves both as a graduate textbook and a resource for researchers, including financial analysts.