Forecasting for economics and business / Gloria Gonzalez-Rivera.
Material type: TextPublication details: Boston : Pearson, c2013.Description: xxii, 490 p. : ill. ; 25 cmISBN:- 9780815368076
- 338.544 23 GON
- HB3730 .G57 2013
Item type | Current library | Collection | Call number | Status | Date due | Barcode |
---|---|---|---|---|---|---|
General Books | CUTN Central Library Social Sciences | Non-fiction | 338.544 GON (Browse shelf(Opens below)) | Available | 47332 |
Browsing CUTN Central Library shelves, Shelving location: Social Sciences, Collection: Non-fiction Close shelf browser (Hides shelf browser)
338.542 IND The BRICS report : | 338.542 JOH Innovations lead to economic crises : | 338.542 MAN A colonial economy in the Great Depression, Madras (1929-1937) / | 338.544 GON Forecasting for economics and business / | 338.6048 GAB Strategic multilateral exchange : | 338.642 FOR Small firms as innovators : | 338.642 MAR The outsiders : |
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.
There are no comments on this title.