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Business, Economics, and Finance with Matlab, GIS, and Simulation Models

Anderson, Patrick L.

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ISBN 10: 1584883480 / ISBN 13: 9781584883487
Published by Chapman and Hall/CRC, U.S.A., 2004
Used Condition: Very Good Hardcover
From Moe's Books (Berkeley, CA, U.S.A.)

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Bibliographic Details

Title: Business, Economics, and Finance with Matlab...

Publisher: Chapman and Hall/CRC, U.S.A.

Publication Date: 2004

Binding: Hard Cover

Book Condition:Very Good

Dust Jacket Condition: No Jacket

About this title

Synopsis:

This book takes recent theoretical advances in Finance and Economics and shows how they can be implemented in the real world. It presents tactics for using mathematical and simulation models to solve complex tasks of forecasting income, valuing businesses, predicting retail sales, and evaluating markets and tax and regulatory problems.

Business Economics and Finance with Matlab, GIS, and Simulation Models provides a unique overview of sophisticated business and financial applications. It describes models that have been developed for analysis of retail sales, tax policy, location, economic impact, public policy issues, and other challenges faced by executives, investors, and economists on a daily basis. It also offers groundbreaking insight into the many calculation and modeling tools that can be remotely hosted and run over the Internet, resulting in substantial user benefits and cost savings.

This book is the first to fully explore the capabilities of MATLAB in the field of business economics, and explain how the benefits of sophisticated mathematical models can be provided to users via the Internet, using a thin-client environment. Many techniques directly incorporate geographic information and GIS in a way that was impossible until quite recently. Some techniques, such as fuzzy logic, retail sales, economic and fiscal impact models, and other Matlab and Simulink models, are described for the first time in print in this book. The sections on business income and value break new ground by directly incorporating uncertainty, real option value, and prediction of variables using Ito and jump processes. Using dozens of examples, hundreds of references, and rigorous explanations of both theory and practice, it will become a prized reference for analysts demanding the best techniques.

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