Forecasting global recessions in a GVAR model of actual and expected output

We compare a Global VAR model of actual and expected outputs with alternative models to assess the role of cross-country interdependencies and confidence in forecasting. Forecast performance is judged on point and density forecasts of growth, on probability forecasts of the occurrence of national and...

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Main Authors: Garratt, Anthony, Lee, Kevin, Shields, Kalvinder
Format: Article
Published: Elsevier 2016
Subjects:
Online Access:https://eprints.nottingham.ac.uk/29935/
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author Garratt, Anthony
Lee, Kevin
Shields, Kalvinder
author_facet Garratt, Anthony
Lee, Kevin
Shields, Kalvinder
author_sort Garratt, Anthony
building Nottingham Research Data Repository
collection Online Access
description We compare a Global VAR model of actual and expected outputs with alternative models to assess the role of cross-country interdependencies and confidence in forecasting. Forecast performance is judged on point and density forecasts of growth, on probability forecasts of the occurrence of national and global recessionary events and, through a novel ‘fair bet’ exercise, on decision-making using probability forecasts. We find multi-country data and survey data are needed to fully capture the influence of global interactions and expectations in forecasts. We argue that output predictions should avoid simple point forecasts and focus on densities and events relevant to decision-makers.
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institution University of Nottingham Malaysia Campus
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publishDate 2016
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spelling nottingham-299352020-05-04T20:03:11Z https://eprints.nottingham.ac.uk/29935/ Forecasting global recessions in a GVAR model of actual and expected output Garratt, Anthony Lee, Kevin Shields, Kalvinder We compare a Global VAR model of actual and expected outputs with alternative models to assess the role of cross-country interdependencies and confidence in forecasting. Forecast performance is judged on point and density forecasts of growth, on probability forecasts of the occurrence of national and global recessionary events and, through a novel ‘fair bet’ exercise, on decision-making using probability forecasts. We find multi-country data and survey data are needed to fully capture the influence of global interactions and expectations in forecasts. We argue that output predictions should avoid simple point forecasts and focus on densities and events relevant to decision-makers. Elsevier 2016-04 Article PeerReviewed Garratt, Anthony, Lee, Kevin and Shields, Kalvinder (2016) Forecasting global recessions in a GVAR model of actual and expected output. International Journal of Forecasting, 32 (2). pp. 374-390. ISSN 0169-2070 Cross-country interactions Survey expectations Probability Forecasts Global and National Recession Forecast evaluation http://www.sciencedirect.com/science/article/pii/S0169207015001223 doi:10.1016/j.ijforecast.2015.08.004 doi:10.1016/j.ijforecast.2015.08.004
spellingShingle Cross-country interactions
Survey expectations
Probability Forecasts
Global and National Recession
Forecast evaluation
Garratt, Anthony
Lee, Kevin
Shields, Kalvinder
Forecasting global recessions in a GVAR model of actual and expected output
title Forecasting global recessions in a GVAR model of actual and expected output
title_full Forecasting global recessions in a GVAR model of actual and expected output
title_fullStr Forecasting global recessions in a GVAR model of actual and expected output
title_full_unstemmed Forecasting global recessions in a GVAR model of actual and expected output
title_short Forecasting global recessions in a GVAR model of actual and expected output
title_sort forecasting global recessions in a gvar model of actual and expected output
topic Cross-country interactions
Survey expectations
Probability Forecasts
Global and National Recession
Forecast evaluation
url https://eprints.nottingham.ac.uk/29935/
https://eprints.nottingham.ac.uk/29935/
https://eprints.nottingham.ac.uk/29935/