Forecast combination by using artificial neural networks

Aladag, Cagdas Hakan and Egrioglu, Erol and Yolcu, Ufuk (2010) Forecast combination by using artificial neural networks. Neural Processing Letters, 32 (3). pp. 269-276. ISSN 1370-4621

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Abstract

One of the efficient ways for obtaining accurate forecasts is usage of forecast combination method. This approach consists of combining different forecast values obtained from different forecasting models. Also artificial neural networks and fuzzy time series approaches have proved their success in the field of forecasting. In this study, a new forecast combination approach based on artificial neural networks is proposed. The forecasts obtain from different fuzzy time series models are combined by utilizing artificial neural networks. The proposed method is applied to index of Istanbul stock exchange (IMKB) time series and the results are compared to other forecast combination methods available in the literature. As a result of the implementation, it is seen that the proposed forecast combination approach produces better forecasts than those produced by other methods.

Item Type: Journal Article
Journal or Publication Title: Neural Processing Letters
Uncontrolled Keywords: /dk/atira/pure/subjectarea/asjc/1700/1702
Subjects:
Departments: Lancaster University Management School > Management Science
Faculty of Science and Technology > Mathematics and Statistics
ID Code: 139558
Deposited By: ep_importer_pure
Deposited On: 13 Dec 2019 16:15
Refereed?: Yes
Published?: Published
Last Modified: 07 Jan 2020 07:05
URI: https://eprints.lancs.ac.uk/id/eprint/139558

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