Table of Contents
Introduction,
Michael Clements and David Hendry Part 1. Forecasting models and methods1. VARs, cointegration and common cycle restrictions,
Heather Anderson and Farshid Vahid2. Dynamic factor models,
James Stock and Mark Watson3. Forecasting with non-linear models,
Anders Kock and Timo Terasvirta4. Forecasting with DSGE models,
Kai Christoffel, Gunter Coenen and Anders Warne5. Unobserved components,
Siem Jan Koopman and Marius Ooms6. Judgmental forecasting,
Paul Goodwin, Dilek Onkal and Michael LawrencePart 2. Data issues7. Nowcasting,
Marta Banbura, Domenico Giannone and Lucrezia Reichlin8. Forecasting with mixed-frequency data,
Elena Andreou, Eric Ghysels and Andros Kourtellos9. Forecasting with real-time data vintages,
Dean CroushorePart 3. Forecasting and structural breaks10. Forecasting and structural breaks,
Michael Clements and David Hendry11. Forecasting breaks and forecasting during breaks,
Jennifer Castle, David Hendry, and Nicholas Fawcett12. Forecast combination,
Marco Aiolfi, Carlos Capistran and Allan Timmermann Part 4. Forecast evaluation13. Multiple forecast model evaluation,
Valentina Corradi and Walter Distaso 14. Testing for unconditional predictive ability,
Todd Clark and Michael McCracken15. Testing for conditional predictive ability,
Raffaella Giacomini16. Interpreting and Combining Heterogeneous Survey Forecasts,
Charles Manski 17. Use and Evaluation of Panels of Forecasts,
Antony Davies, Kajal Lahiri and Xuguang ShengPart 5. Financial forecasting18. Forecasting Financial Time Series,
Terence Mills 19. Volatility Forecasting Using High Frequency Data,
Peter Hansen and Asger Lunde Part 6. Special interest areas20. Economic value of weather and climate forecasts,
Richard Katz and Jeff Lazo21. Long-horizon growth forecasting and demography,
Thomas Lindh 22. Energy market forecasting,
Derek Bunn and Nektaria Karakatsani23 Models for health care,
Andrew Jones24 Political and election forecasting,
Michael Lewis-Beck and Charles Tien 25 Marketing & sales,
Philip-Hans Franses