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

By: (Author) Patrick L. Anderson

Manufacture on Demand

Ksh 32,400.00

Format: Hardback or Cased Book

ISBN-10: 1584883480

ISBN-13: 9781584883487

Publisher: Taylor & Francis Inc

Imprint: Chapman & Hall/CRC

Country of Manufacture: US

Country of Publication: GB

Publication Date: Jul 27th, 2004

Print length: 500 Pages

Weight: 866 grams

Dimensions (height x width x thickness): 23.40 x 16.50 x 3.30 cms

Product Classification: Mathematical theory of computation

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Offers an overview of advanced methods for solving problems in business, economics, and finance. This book describes techniques, often using MATLAB and Simulink models, for finance, business valuation, retail sales prediction, tax policy, public policy, and other challenges faced by executives, investors, and economists on a daily basis.
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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