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Economic and business forecasting : analyzing and interpreting econometric results / John Silvia...[et al.].

By: Contributor(s): Material type: TextTextSeries: Wiley & SAS business seriesPublication details: New Jersey : John Wiley, 2014.Description: xvii, 382 p. : illustrations ; 26 cmISBN:
  • 9781118497098 (cloth)
Subject(s): DDC classification:
  • 330.015195 23 Si587
Contents:
1. Creating harmony out of noisy data effective decision making: characterize the data-- 2. First, understand the data-- 3. Financial ratios-- 4. Characterizing a time series-- 5. Character4izing a relationship between time series-- 6. Characterizing a time series using SAS software-- 7. Testing for a unit root and structural break using SAS software-- 8. Characterizing a relationship using SAS-- 9. The 10 commandments of applied time series forecasting for business and economics-- 10. A single-equation approach to model-based forecasting-- 11. A multiple-equations approach to model-based forecasting-- 12. A multiple-equation approach to long-term forecasting-- 13. The risks of model-based forecasting modeling, assessing, and remodeling-- 14. Putting the analysis to work in the twenty-first-century economy-- Appendix-- About the authors-- Index.
Summary: Economic and Business Forecasting offers a comprehensive and practical approach to quantifying and accurate forecasting of key variables. Using simple econometric techniques, author John E. Silvia focuses on a select set of major economic and financial variables, revealing how to optimally use statistical software as a template.
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Includes bibliographical references and index.

1. Creating harmony out of noisy data effective decision making: characterize the data--
2. First, understand the data--
3. Financial ratios--
4. Characterizing a time series--
5. Character4izing a relationship between time series--
6. Characterizing a time series using SAS software--
7. Testing for a unit root and structural break using SAS software--
8. Characterizing a relationship using SAS--
9. The 10 commandments of applied time series forecasting for business and economics--
10. A single-equation approach to model-based forecasting--
11. A multiple-equations approach to model-based forecasting--
12. A multiple-equation approach to long-term forecasting--
13. The risks of model-based forecasting modeling, assessing, and remodeling--
14. Putting the analysis to work in the twenty-first-century economy--
Appendix--
About the authors--
Index.

Economic and Business Forecasting offers a comprehensive and practical approach to quantifying and accurate forecasting of key variables. Using simple econometric techniques, author John E. Silvia focuses on a select set of major economic and financial variables, revealing how to optimally use statistical software as a template.

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