Description: 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.
