Publication:
Forecasting Gold Prices Series in Turkey by the Forecast Combination

dc.authorscopusid23092915500
dc.authorscopusid23093703600
dc.authorscopusid6507405561
dc.contributor.authorAladag, C.H.
dc.contributor.authorEgrioglu, E.
dc.contributor.authorKadilar, C.
dc.date.accessioned2020-06-21T09:28:35Z
dc.date.available2020-06-21T09:28:35Z
dc.date.issued2012
dc.departmentOndokuz Mayıs Üniversitesien_US
dc.department-temp[Aladag] Cagdas Hakan, Department of Statistics, Hacettepe Üniversitesi, Ankara, Turkey; [Egrioglu] Erol, Department of Statistics, Ondokuz Mayis Üniversitesi, Samsun, Turkey; [Kadilar] Cem, Department of Statistics, Hacettepe Üniversitesi, Ankara, Turkeyen_US
dc.description.abstractForecast combination is a method used for obtaining more accurate forecasts. Forecast combination consists of the combination of forecasts obtained from different models with various methods. There are several types of forecast combination in the forecasting literature. In this study, various fuzzy time series approaches are applied to Turkey's daily highest gold prices series and forecasts obtained from these approaches are combined with variance covariance method (VCM), mean square forecast error method (MSFE) and artificial neural networks (ANN) approach. Results obtained from all of these methods are analyzed and the optimal forecast technique for Turkey's daily highest gold prices series is determined. © 2012 Bentham Science Publishers. All rights reserved.en_US
dc.identifier.doi10.2174/978160805373511201010108
dc.identifier.endpage117en_US
dc.identifier.isbn9781608055227
dc.identifier.scopus2-s2.0-84882724304
dc.identifier.startpage108en_US
dc.identifier.urihttps://doi.org/10.2174/978160805373511201010108
dc.language.isoenen_US
dc.publisherBentham Science Publishers Ltd.en_US
dc.relation.journalAdvances in Time Series Forecastingen_US
dc.relation.publicationcategoryKitap Bölümü - Uluslararasıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectArtificial Neural Networksen_US
dc.subjectForecast Combinationen_US
dc.subjectForecastingen_US
dc.subjectFuzzy Time Seriesen_US
dc.titleForecasting Gold Prices Series in Turkey by the Forecast Combinationen_US
dc.typeBook Parten_US
dspace.entity.typePublication

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