Business Economics and Finance with MATLAB GIS and Simulation Models 1st Edition by Patrick L Anderson ISBN 0471719297 9781584883487

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ISBN 10: 0471719297
ISBN 13: 9781584883487
Author: Patrick L Anderson

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.

Business Economics and Finance with MATLAB GIS and Simulation Models 1st Table of contents:

Part 1: Introduction to Business Economics and Finance

1. Overview of Business Economics

   • Defining Business Economics
   • Microeconomic and Macroeconomic Principles for Businesses
   • Key Economic Indicators and Their Business Implications

2. Introduction to Financial Markets and Institutions

   • The Role of Financial Markets in the Economy
   • Financial Instruments and their Use in Business
   • Overview of Financial Institutions and their Functions

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Part 2: Analytical Tools in Business Economics and Finance

3. Using MATLAB for Economic and Financial Analysis

   • Introduction to MATLAB and Its Applications
   • MATLAB Basics for Financial and Economic Modeling
   • Solving Linear and Nonlinear Economic Problems with MATLAB

4. Geographic Information Systems (GIS) in Business Economics

   • Introduction to GIS and its Relevance to Business Economics
   • Using GIS for Market Analysis, Location Planning, and Risk Assessment
   • Visualizing Economic Data with GIS

5. Simulation Models in Business and Finance

   • Types of Simulation Models (Monte Carlo, Agent-Based, etc.)
   • Setting Up Economic and Financial Simulations
   • Interpreting Results from Simulation Models

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Part 3: Applications in Business Economics

6. Cost-Benefit Analysis and Decision-Making Models

   • Using MATLAB to Perform Cost-Benefit Analysis
   • Decision-Making Models and Their Application in Business Economics
   • Simulation-Based Decision Support Systems

7. Economic Forecasting and Risk Management

   • Time Series Forecasting with MATLAB
   • Risk Analysis Techniques in Business
   • Using Simulation Models for Risk Management and Scenario Planning

8. Supply Chain and Market Demand Analysis Using GIS

   • Modeling Supply Chains with GIS Tools
   • Market Demand Estimation and Location Optimization
   • Using GIS to Analyze Consumer Behavior and Market Segmentation

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Part 4: Applications in Business Finance

9. Financial Modeling and Asset Pricing

   • Building Financial Models in MATLAB
   • Asset Pricing Models: CAPM, Arbitrage Pricing Theory, and More
   • Simulating Investment Portfolios and Risk Assessment

10. Corporate Finance and Capital Budgeting

    • Capital Budgeting Techniques: NPV, IRR, and Payback Period
    • Using MATLAB for Capital Budgeting and Project Evaluation
    • Simulation of Investment Decisions and Cash Flow Forecasting

11. Portfolio Management and Asset Allocation

    • Modern Portfolio Theory and Optimization in MATLAB
    • Risk and Return Analysis for Different Investment Strategies
    • Using Simulation Models for Portfolio Optimization

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Part 5: Case Studies and Real-World Applications

12. Case Study: GIS for Market Expansion Decisions

    • Identifying Potential Markets Using GIS
    • Decision Making for Geographic Market Expansion
    • Analyzing Competitor Locations and Market Potential

13. Case Study: Financial Modeling for Business Valuation

    • Valuing a Business Using Financial Models in MATLAB
    • Case Study on Financial Decision Making for Mergers and Acquisitions
    • Monte Carlo Simulation for Business Valuation and Uncertainty Analysis

14. Case Study: Using Simulation for Risk Analysis in Business Finance

    • Simulation of Business Scenarios with MATLAB
    • Assessing Financial Risk Using Simulations
    • Case Example: Stress Testing and Contingency Planning

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Part 6: Advanced Topics

15. Advanced Financial and Economic Models in MATLAB

    • Dynamic Stochastic General Equilibrium (DSGE) Models
    • Portfolio Optimization and Behavioral Finance Models
    • Advanced Time Series Forecasting and Estimation Techniques

16. Integrating GIS and MATLAB for Multidisciplinary Analysis

    • Combining GIS with MATLAB for Comprehensive Business Analytics
    • Case Example: Geographic Risk Analysis in Finance
    • Multidimensional Modeling for Business Economics and Finance

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