This book presents a variety of computational methods used to solve                  dynamic problems in economics and finance. It emphasizes practical numerical methods                  rather than mathematical proofs and focuses on techniques that apply directly to                  economic analyses. The examples are drawn from a wide range of subspecialties of                  economics and finance, with particular emphasis on problems in agricultural and                  resource economics, macroeconomics, and finance. The book also provides an extensive                  Web-site library of computer utilities and demonstration programs.The book is                  divided into two parts. The first part develops basic numerical methods, including                  linear and nonlinear equation methods, complementarity methods, finite-dimensional                  optimization, numerical integration and differentiation, and function approximation.                  The second part presents methods for solving dynamic stochastic models in economics                  and finance, including 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 readers develop their own                  computational economics applications.

Applied Computational Economics and Finance PDF

The list of books you might like