Book description
The highly prized ability to make financial plans with some certainty about the future comes from the core fields of economics. In recent years the availability of more data, analytical tools of greater precision, and ex post studies of business decisions have increased demand for information about economic forecasting. Volumes 2A and 2B, which follows Nobel laureate Clive Granger's Volume 1 (2006), concentrate on two major subjects. Volume 2A covers innovations in methodologies, specifically macroforecasting and forecasting financial variables. Volume 2B investigates commercial applications, with sections on forecasters' objectives and methodologies. Experts provide surveys of a large range of literature scattered across applied and theoretical statistics journals as well as econometrics and empirical economics journals. The Handbook of Economic Forecasting Volumes 2A and 2B provide a unique compilation of chapters giving a coherent overview of forecasting theory and applications in one place and with up-to-date accounts of all major conceptual issues.
- Focuses on innovation in economic forecasting via industry applications
- Presents coherent summaries of subjects in economic forecasting that stretch from methodologies to applications
- Makes details about economic forecasting accessible to scholars in fields outside economics
Table of contents
- Cover image
- Title page
- Table of Contents
- Copyright
- Dedication
- Introduction to the Series
- Contributors
- Section III: Forecasters’ Objectives
-
Section IV: Methodology
- Chapter 14. Variable Selection in Predictive Regressions
-
Chapter 15. Forecasting with Bayesian Vector Autoregression
- Abstract
- 1 Introduction
- 2 Bayesian Forecasting and Computation
- 3 Reduced Form VARs
- 4 Structural VARs
- 5 Co-Integration
- 6 Conditional Forecasts
- 7 Time-Varying Parameters and Stochastic Volatility
- 8 Model and Variable Selection
- 9 High-Dimensional VARs
- Acknowledgements
- Appendix A Markov Chain Monte Carlo Methods
- Appendix B State-Space Models
- Appendix C Distributions
- References
-
Chapter 16. Copula Methods for Forecasting Multivariate Time Series
- Abstract
- 1 Introduction
- 2 Dependence Summary Statistics
- 3 Estimation and Inference for Copula Models
- 4 Model Selection and Goodness-of-Fit Testing
- 5 Other Issues in Applications
- 6 Applications of Copulas in Economics and Finance
- 7 Conclusions and Directions for Further Research
- Acknowledgments
- References
- Chapter 17. Quantile Prediction
- Chapter 18. Panel Data Forecasting
- Chapter 19. Forecasting Binary Outcomes
-
Chapter 20. Advances in Forecast Evaluation
- Abstract
- 1 Introduction
- 2 Modeling and Forecasting Framework
- 3 Pairs of Models: Population-Level and Finite-Sample Inference
- 4 Unconditional Versus Conditional Evaluation
- 5 Evaluation of Multiple Forecasts
- 6 Evaluation of Real-Time Forecasts
- 7 Small-Sample Properties of Tests of Equal Predictive Ability
- 8 On the Choice of Sample Split
- 9 Why Do Out-of-Sample Forecast Evaluation?
- 10 Conclusion
- 11 Asymptotic Derivations for Out-of-Sample Inference: Examples
- Acknowledgments
- References
- Chapter 21. Advances in Forecasting under Instability
- Index
Product information
- Title: Handbook of Economic Forecasting
- Author(s):
- Release date: August 2013
- Publisher(s): North Holland
- ISBN: 9780444627407
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