Introduction to Financial Forecasting in Investment Analysis

Forecastingthe art and science of predicting future outcomeshas become a crucial skill in business and economic analysis. This volume introduces the reader to the tools, methods, and techniques of forecasting, specifically as they apply to financial and investing decisions.� With an emphasis on e...

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Bibliographic Details
Main Author: Guerard, Jr., John B. (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic
Language:English
Published: New York, NY : Springer New York : Imprint: Springer, 2013.
Subjects:
Online Access:https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-1-4614-5239-3
Table of Contents:
  • Chapter 1: Why do we forecast?
  • Chapter 2: Regression Analysis and Forecasting Models
  • Chapter 3: An Introduction to Time Series Modeling and Forecasting
  • Chapter 4: Regression Analysis and Multicollinearity: Two Case Studies
  • Chapter 5: Multiple Time Series Analysis and Causality Testing
  • Chapter 6: A Case Study of Portfolio Construction using the USER Data and the Barra Aegis System
  • Chapter 7: More Efficient Portfolios Featuring the USER Data and an Extension to Global Data and Investment Universes
  • Chapter 8: Forecasting World Stock Returns and Improved Asset Allocation
  • Chapter 9: Summary and Conclusions.