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Forecasting for economics and business / Gloria Gonzalez-Rivera.

By: Material type: TextTextPublication details: Boston : Pearson, c2013.Description: xxii, 490 p. : ill. ; 25 cmISBN:
  • 9780815368076
Subject(s): DDC classification:
  • 338.544 23 GON
LOC classification:
  • HB3730 .G57 2013
Contents:
1. Introduction and Context 2. A Review of Basic Statistics Concepts and the Linear Regression Model 3. Statistics and Time Series 4. Tools of the Forecaster 5. Understanding Linear Dependence: A Link to Economic Models 6. Forecasting with Moving Average (MA) Processes 7. Forecasting with AutoRegressive (AR) Processes 8. Forecasting Practice: Modeling San Diego House Price Index 9. Assessment of Forecasts and Combination of Forecasts 10. Forecasting the Long Run: Deterministic and Stochastic Trends 11. Forecasting with a System of Equations: Vector AutoRegression 12. Forecasting the Long Run and the Short Run Jointly: Cointegration and Error Correction Models 13. Forecasting Volatility I 14. Forecasting Volatility II 15. Financial Applications of Time-varying Volatility 16. Forecasting with Nonlinear Models
Summary: For junior/senior undergraduates in a variety of fields such as economics, business administration, applied mathematics and statistics, and for graduate students in quantitative masters programs such as MBA and MA/MS in economics. A student-friendly approach to understanding forecasting. Knowledge of forecasting methods is among the most demanded qualifications for professional economists, and business people working in either the private or public sectors of the economy. The general aim of this textbook is to carefully develop sophisticated professionals, who are able to critically analyze time series data and forecasting reports because they have experienced the merits and shortcomings of forecasting practice.
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Item type Current library Collection Call number Status Date due Barcode
General Books General Books CUTN Central Library Social Sciences Non-fiction 338.544 GON (Browse shelf(Opens below)) Available 47332

Includes bibliographical references (p. 481-483) and index.

1. Introduction and Context

2. A Review of Basic Statistics Concepts and the Linear Regression Model

3. Statistics and Time Series

4. Tools of the Forecaster

5. Understanding Linear Dependence: A Link to Economic Models

6. Forecasting with Moving Average (MA) Processes

7. Forecasting with AutoRegressive (AR) Processes

8. Forecasting Practice: Modeling San Diego House Price Index

9. Assessment of Forecasts and Combination of Forecasts

10. Forecasting the Long Run: Deterministic and Stochastic Trends

11. Forecasting with a System of Equations: Vector AutoRegression

12. Forecasting the Long Run and the Short Run Jointly: Cointegration and Error Correction Models

13. Forecasting Volatility I

14. Forecasting Volatility II

15. Financial Applications of Time-varying Volatility

16. Forecasting with Nonlinear Models

For junior/senior undergraduates in a variety of fields such as economics, business administration, applied mathematics and statistics, and for graduate students in quantitative masters programs such as MBA and MA/MS in economics.

A student-friendly approach to understanding forecasting.

Knowledge of forecasting methods is among the most demanded qualifications for professional economists, and business people working in either the private or public sectors of the economy. The general aim of this textbook is to carefully develop sophisticated professionals, who are able to critically analyze time series data and forecasting reports because they have experienced the merits and shortcomings of forecasting practice.

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