Elements of Numerical Mathematical Economics with Excel: Static and Dynamic Optimization

Romeo, Giovanni

ISBN 10: 0128176482 / ISBN 13: 9780128176481

Edité par Academic Press, 2019

In. N° de réf. du vendeur ria9780128176481_new

Synopsis :

Elements of Numerical Mathematical Economics with Excel: Static and Dynamic Optimization shows readers how to apply static and dynamic optimization theory in an easy and practical manner, without requiring the mastery of specific programming languages that are often difficult and expensive to learn. Featuring user-friendly numerical discrete calculations developed within the Excel worksheets, the book includes key examples and economic applications solved step-by-step and then replicated in Excel.

After introducing the fundamental tools of mathematical economics, the book explores the classical static optimization theory of linear and nonlinear programming, applying the core concepts of microeconomics and some portfolio theory. This provides a background for the more challenging worksheet applications of the dynamic optimization theory. The book also covers special complementary topics such as inventory modelling, data analysis for business and economics, and the essential elements of Monte Carlo analysis.

Practical and accessible, Elements of Numerical Mathematical Economics with Excel: Static and Dynamic Optimization increases the computing power of economists worldwide. This book is accompanied by a companion website that includes Excel examples presented in the book, exercises, and other supplementary materials that will further assist in understanding this useful framework.

À propos de l?auteur: Giovanni Romeo is an independent financial advisor in Mergers & Acquisitions and Corporate Finance services. He received his bachelor's and master's degrees in economics and management from University of Pavia and earned a master in corporate finance from SDA Bocconi Business School.

Détails bibliographiques

Titre : Elements of Numerical Mathematical Economics...
Éditeur : Academic Press
Date d'édition : 2019
Reliure : Couverture souple
Etat : New