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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
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.

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
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