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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, an… Read more
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Immediately download your ebook while waiting for your print delivery. No promo code needed.
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.
Graduate students and professors worldwide working in all subdisciplines of economics and finance
Dedication
Introduction to the Series
Contributors
Section I: Macro Forecasting
Chapter 1. Forecasting Inflation
Abstract
1 Introduction
2 Approach for Our General Review
3 Market-Based Measures of the Inflation Outlook
4 Other Topics
5 International Inflation Forecasts
6 Conclusions
Acknowledgments
References
Chapter 2. DSGE Model-Based Forecasting
Abstract
1 Introduction
2 The DSGE Models
3 Generating Forecasts with DSGE Models
4 Accuracy of Point Forecasts
5 DSGE Model Forecasts Using External Information
6 Forecasts Conditional on Interest Rate Paths
7 Moving Beyond Point Forecasts
8 Outlook
Acknowledgments
Appendix A Details for Figure 2.5
References
Chapter 3. Forecasting Output
Abstract
1 Introduction
2 Forecasting Models
3 Forecast Comparison: Real-time Performance
4 Conclusion
Acknowledgments
References
Chapter 4. Now-Casting and the Real-Time Data Flow
Abstract
1 Introduction
2 Now-Casting: Problem and Overview of Approaches
3 Empirical Application
4 Conclusions and Discussion on Further Developments
Acknowledgments
Appendix A Appendix: Details on the State Space Representation and Estimation
References
Chapter 5. Forecasting and Policy Making
Abstract
1 Introduction
2 The Role of Forecasts in Policy Making: A Practical Example and a Theoretical Framework
3 Examples of Forecasts Produced at Fiscal Authorities and Central Banks
4 Empirical Evidence that Policymakers’ Decisions Respond to Forecasts
5 Computing Forecasts that Account for the Interaction with Policy Decisions
6 Evaluating the Performance of Policy Rules that Respond to Forecasts
7 Outlook
Acknowledgments
Appendix A A medium-scale DSGE model
References
Section II: Forecasting Financial Variables
Chapter 6. Forecasting Stock Returns
Abstract
1 Introduction
2 What Level of Predictability Should We Expect?
3 U.S. Aggregate Stock Market Return Forecastability
4 Stock Return Forecastability Along Other Dimensions
5 Conclusion
Acknowledgments
References
Chapter 7. Forecasting Interest Rates
Abstract
1 Introduction
2 Forecasting Methods from a Finance Perspective
3 Regression Approaches to Forecasting Treasury Yields
4 A Dynamic Term Structure Framework
5 Macro-Finance Models
6 Economic Fundamentals and Risk Premia
7 A Robustness Check
8 Concluding Comments
Acknowledgments
References
Chapter 8. Forecasting the Price of Oil
Abstract
1 Introduction
2 Alternative Oil Price Measures
3 Alternative Oil Price Specifications
4 Granger Causality Tests
5 Short-Horizon Forecasts of the Nominal Price of Oil
6 Long-Horizon Forecasts of the Nominal Price of Oil Based on Oil Futures Prices
7 Survey Forecasts of the Nominal Price of Oil
8 What Have We Learned about Forecasting the Nominal Price of Oil?
9 Short-Horizon Forecasts of the Real Price of Oil
10 What Have We Learned about Forecasting the Real Price of Oil?
11 Structural VAR Forecasts of the Real Price of Oil
12 The Ability of Oil Prices to Forecast U.S. Real GDP
13 The Role of Oil Price Volatility
14 Avenues for Future Research
15 Conclusions
Acknowledgments
References
Chapter 9. Forecasting Real Estate Prices
Abstract
1 Introduction
2 The Real Estate Data
3 Forecasting Real Estate Returns
4 REITs
5 Real Estate, Leverage, and Monetary Policy
6 Concluding Remarks
Appendix A Data sources
References
Chapter 10. Forecasting with Option-Implied Information
Abstract
1 Introduction
2 Extracting Volatility and Correlation from Option Prices
3 Extracting Skewness and Kurtosis from Option Prices
4 Extracting Densities from Option Prices
5 Allowing for Risk Premia
6 Summary and Discussion
Acknowledgment
References
Chapter 11. Prediction Markets for Economic Forecasting
Abstract
1 Introduction
2 Types of Prediction Markets
3 Why Prediction Markets Work
4 Forecast Accuracy
5 Discovering Economic Models
6 Conclusion
Acknowledgment
References
Section III: Forecasters’ Objectives
Chapter 12. Forecasters’ Objectives and Strategies
Abstract
1 Introduction
2 Model with Mixed Reputational and Contest Payoffs
3 Development of Reputational and Contest Theories
4 Equilibrium with Mixed Incentives
5 Estimation
6 Robustness and Extensions
7 Role of Anonymity
8 Summary and Outlook
Acknowledgments
References
Chapter 13. Forecasting Exchange Rates: an Investor Perspective
Abstract
1 Introduction
2 Successful Investing Does Not Require Beating a Random Walk
3 Constructing a Currency Portfolio
4 Benchmarks for Currency Investors
5 Forecast Skill Evaluation: Tilt and Timing
6 Enhancing Forecasts with Conditioners
7 Summary
References
Section IV: Methodology
Chapter 14. Variable Selection in Predictive Regressions
Abstract
1 Introduction
2 Criterion-Based Methods When N < T
3 Regularization Methods
4 Dimension Reduction Methods
5 Three Practical Problems
6 Conclusion
Acknowledgments
References
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
Abstract
1 Introduction
2 Prediction
3 Evaluation
4 Specific Issues
5 Conclusion and Directions for Future Research
Acknowledgments
References
Chapter 18. Panel Data Forecasting
Abstract
1 Introduction
2 The Best Linear Unbiased Predictor
3 Homogeneous versus Heterogeneous Panel Forecasts
4 Caveats, Related Studies, and Future Work
Acknowledgments
References
Chapter 19. Forecasting Binary Outcomes
Abstract
1 Introduction
2 Probability Predictions
3 Evaluation of Binary Event Predictions
4 Binary Point Predictions
5 Improving Binary Predictions
6 Conclusion
Acknowledgments
References
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
Abstract
1 Introduction
2 Is the Predictive Content Unstable Over Time?
3 What is the Relationship Between in-sample and Out-of-sample Forecasting Ability in the Presence of Instabilities?
4 Empirical Evidence
5 Conclusions
Acknowledgments
Appendix 1 Critical Value Tables
References
Index
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