Overview

Research on forecasting methods has made important progress over recent years and these developments are brought together in the Handbook of Economic Forecasting. The handbook covers developments in how forecasts are constructed based on multivariate time-series models, dynamic factor models, nonlinear models and combination methods. The handbook also includes chapters on forecast evaluation, including evaluation of point forecasts and probability forecasts and contains chapters on survey forecasts and volatility forecasts. Areas of applications of forecasts covered in the handbook include economics, finance and marketing.

Full Product Details

Author:   G. Elliott (University of California at San Diego, La Jolla, CA, USA) ,  C. W.J. Granger (University of California, San Diego, La Jolla, CA, USA) ,  A. G. Timmermann (University of California at San Diego, La Jolla, CA, USA) ,  Kenneth J. Arrow
Publisher:   Elsevier Science & Technology
Imprint:   North-Holland
Volume:   v. 1
Dimensions:   Width: 16.50cm , Height: 4.50cm , Length: 24.00cm
Weight:   1.630kg
ISBN:  

9780444513953

ISBN 10:   0444513957
Pages:   1070
Publication Date:   30 May 2006
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Awaiting stock  
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Table of Contents

Part 1. Forecasting methodology. 1. Bayesian forecasting (J. Geweke, C. Whiteman). 2. Forecasting and decision theory (C.W.J.Granger, M.J. Machina). 3. Forecast evaluation (K.D. West). 4. Forecast combinations (A. Timmermann). 5. Predictive density evaluation (V. Corradi, N.R. Swanson). Part 2. Forecasting models. 6. Forecasting with VARMA models (H. Lutkepohl). 7. Forecasting with unobserved components time series models (A. Harvey). 8. Forecasting economic variables with nonlinear models (T. Terasvirta). 9. Approximate nonlinear forecasting models (H. White). Part 3. Forecasting with different data structures. 10. Forecasting with many predictors (J.H. Stock, M.W. Watson). 11. Forecasting with trending data (G. Elliott). 12. Forecasting with breaks (M.P. Clements, D.F. Hendry). 13. Forecasting seasonal time series (E. Ghysels, D.R. Osborn, P.M.M. Rodrigues). 14. Survey expectations (M.H. Pesaran, M. Weale). Part 4. Applications of forecasting methods. 15.Volatility and correlation forecasting (T.G. Andersen, T. Bollerslev, P.F. Christoffersen, F.X. Diebold). 16. Leading Indicators (M. Marcellino). 17. Forecasting with real-time macroeconomic data (D. Croushore). 18. Forecasting in marketing (P.H. Franses).

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