This text offers an accessible yet rigorous development of many of the fields of mathematics necessary for success in investment and quantitative finance, covering topics applicable to portfolio theory, investment banking, option pricing, investment, and insurance risk management. The approach emphasizes the mathematical framework provided by each mathematical discipline, and the application of each framework to the solution of finance problems.
In The Equilibrium Manifold, noted economic scholar and major contributor to the theory of general equilibrium Yves Balasko argues that, contrary to what many textbooks want readers to believe, the study of the general equilibrium model did not end with the existence and welfare theorems of the 1950s.
The field of forest economics has expanded rapidly in the last two decades, and yet there exists no up-to-date textbook for advanced undergraduate-graduate level use or rigorous reference work for professionals. Economics of Forest Resources fills these gaps, offering a comprehensive technical survey of the field with special attention to recent developments regarding policy instrument choice and uncertainty.
This text provides an introduction to the modern theory of economic dynamics, with emphasis on mathematical and computational techniques for modeling dynamic systems. Written to be both rigorous and engaging, the book shows how sound understanding of the underlying theory leads to effective algorithms for solving real world problems. The material makes extensive use of programming examples to illustrate ideas. These programs help bring to life the abstract concepts in the text.
Influential neoclassical economist Lionel McKenzie has made major contributions to postwar economic thought in the fields of equilibrium, trade, and capital accumulation. This selection of his papers traces the development of his thinking in these three crucial areas.
Debates over post-Kyoto Protocol climate change policy often take note of two issues: the feasibility and desirability of international cooperation on climate change policies, given the failure of the United States to ratify Kyoto and the very limited involvement of developing countries, and the optimal timing of climate policies. In this book essays by leading international economists offer insights on both these concerns.
No names are more closely associated with modern trade theory than Eli Heckscher and Bertil Ohlin. The basic Heckscher-Ohlin proposition, according to which a country exports factors (embodied in goods) in relatively abundant supply and imports factors in relatively scarce supply, is a key component of modern trade theory. In this book, Robert Baldwin traces the development of the HO model, describing the historical twists and turns that have led to the basic modern theoretical model in use today.
Policy makers need quantitative as well as qualitative answers to pressing policy questions. Because of advances in computational methods, quantitative estimates are now derived from coherent nonlinear dynamic macroeconomic models embodying measures of risk and calibrated to capture specific characteristics of real-world situations. This text shows how such models can be made accessible and operational for confronting policy issues.
An important recent advance in macroeconomics is the development of dynamic stochastic general equilibrium (DSGE) macromodels. The use of DSGE models to study monetary policy, however, has led to paradoxical and puzzling results on a number of central monetary issues including price determinacy and liquidity effects. In Money, Interest, and Policy, Jean-Pascal Bénassy argues that moving from the standard DSGE models--which he calls "Ricardian" because they have the famous "Ricardian equivalence" property--to another, "non-Ricardian" model would resolve many of these issues.
The Bayesian revolution in statistics—where statistics is integrated with decision making in areas such as management, public policy, engineering, and clinical medicine—is here to stay. Introduction to Statistical Decision Theory states the case and in a self-contained, comprehensive way shows how the approach is operational and relevant for real-world decision making under uncertainty.