Applied Computational Economics and Finance, Miranda

Applied Computational Economics and Finance by Mario J. Miranda provides a number of computational approaches employed to resolve dynamic problems in economics and finance. This book emphasizes functional numerical procedures instead of mathematical proofs and concentrates on methods that implement immediately to applied economics analysis. The examples are drawn from a wide selection of sub specialties of economics and finance, with particular emphasis on challenges in agricultural and resource economics, macroeconomics, and finance.

The Applied Computational Economics and Finance book also supplies in depth Web-site library of software utilities and demonstration plans. The book is divided into two parts. The first part develops simple numerical methods, such as linear and nonlinear equation approaches, complementary procedures, finite-dimensional optimization, numerical integration and differentiation, and function approximation.

The second part presents approaches for resolving dynamic stochastic models in economics and finance, which includes dynamic programming, rational expectations, and arbitrage pricing models in discrete and continuous time. The book uses MATLAB to illustrate the algorithms and includes a utilities toolbox to help visitors develop their very own computational economics applications.

In fact, this book has strong factors, including its structure plus the way theory-based chapters alternate with analytical types. This will allow it to be priceless useful resource in the classroom. Moreover, Applied Computational Economics and Finance addresses the topics of numerical methods to solve finance and economics complications. This text supplies a large number of generic programs.

Applied Computational Economics and Finance

Mario J. Miranda and Paul L. Fackler
The MIT Press
512 pages

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