Forecasting GDP growth using artificial neural networks / by Greg Tkacz and Sarah Hu. : FB3-2/99-3E
In this paper, the authors wish to determine whether the forecasting performance of such variables can be improved using neural network models. The main findings are that, at the 1-quarter forecasting horizon, neural networks yield no significant forecast improvements. At the 4-quarter horizon, however, the improved forecast accuracy is statistically significant. The root mean squared forecast errors of the best neural network models are about 15 to 19 per cent lower than their linear model counterparts. The improved forecast accuracy may be capturing more fundamental non-linearities between financial variables and real output growth at the longer horizon.--Abstract
Lien permanent pour cette publication :
publications.gc.ca/pub?id=9.614702&sl=1
| Ministère/Organisme | Bank of Canada. |
|---|---|
| Titre | Forecasting GDP growth using artificial neural networks / by Greg Tkacz and Sarah Hu. |
| Titre de la série | Working paper1192-543499-3 |
| Type de publication | Série - Voir l'enregistrement principal |
| Langue | [Anglais] |
| Format | Papier |
| Autres formats offerts | Électronique-[Anglais] |
| Note(s) | "In this paper, the authors wish to determine whether the forecasting performance of such variables can be improved using neural network models. The main findings are that, at the 1-quarter forecasting horizon, neural networks yield no significant forecast improvements. At the 4-quarter horizon, however, the improved forecast accuracy is statistically significant. The root mean squared forecast errors of the best neural network models are about 15 to 19 per cent lower than their linear model counterparts. The improved forecast accuracy may be capturing more fundamental non-linearities between financial variables and real output growth at the longer horizon."--Abstract. Résumés en français |
| Information sur la publication | Ottawa - Ontario : Bank of Canada 1999. |
| Reliure | Softcover |
| Description | 24p. : graphs, references, tables ; 28 cm. |
| ISBN | 0-662-27537-3 |
| ISSN | 1192-5434 |
| Numéro de catalogue |
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| Numéro de catalogue du ministère | 99-3 |
| Descripteurs | Gross national product Forecasting Models |
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