Bringing together a variety of neclassical and heterodox perspectives, this work collects the latest thinking of some of the best-known economics scholars on the question of money. The contributors are Victoria Chick, Kevin Dowd, Gilles Dostaler, Steve Fleetwood, Gunnar Heinsohn, Geoff Ingham, Peter Kennedy, Peter G. Klein, Bernard Maris, Scott Meikle, Alain Parguez, Colin Rodgers, T.K.Rymes, Mario Seccarreccia, George Selgin, Otto Steiger, John Smithin and L. Randall Wray.
Here, one of the world's leading economists offers a lucid, unified, and comprehensive introduction to modern corporate finance theory. Jean Tirole builds his landmark book around a single model, using an incentive or contract theory approach. Filling a major gap in the field, The Theory of Corporate Finance is an indispensable resource for graduate and advanced undergraduate students as well as researchers of corporate finance, industrial organization, political economy, development, and macroeconomics.
Tirole conveys the organizing principles that structure the analysis of today's key management and public policy issues, such as the reform of corporate governance and auditing; the role of private equity, financial markets, and takeovers; the efficient determination of leverage, dividends, liquidity, and risk management; and the design of managerial incentive packages. He weaves empirical studies into the book's theoretical analysis. And he places the corporation in its broader environment, both microeconomic and macroeconomic, and examines the two-way interaction between the corporate environment and institutions.
Setting a new milestone in the field, The Theory of Corporate Finance will be the authoritative text for years to come.
This book contains the proceedings from the 2006 Workshop on the Algorithmic Foundations of Robotics. This biannual workshop is a highly selective meeting of leading researchers in the field of algorithmic issues related to robotics. The 32 papers in this book span a wide variety of topics: from fundamental motion planning algorithms to applications in medicine and biology, but they have in common a foundation in the algorithmic problems of robotic systems.