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dc.contributor.authorSayareh, Jafar
dc.contributor.authorHassanali, Mohammad mehdi
dc.contributor.authorNooramin, Amir saeed
dc.coverage.spatialIranen_US
dc.date.accessioned2018-08-01T05:30:03Z
dc.date.available2018-08-01T05:30:03Z
dc.date.issued2012
dc.identifier.issn2008-8965
dc.identifier.urihttp://hdl.handle.net/1834/13446
dc.description.abstractDry Bulk market is the largest sector of world shipping market. The analysis of this market and the assessment of dry bulk freight rate ,market behavior, policy making in this field, transportation policies and fleet development, and also research in dry bulk shipping industry is inevitable. The main aim of this study is to analyze and forecast the future of dry bulk freight market in 2011 and 2012. Since the shipping industry is known to be a volatile industry; therefore, understanding the characteristics of this market and forecasting its volatilities have been of prime interest in operational and financial decision makings. To achieve this aim, linear regression, multiple regression and time series analyses (winer’s exponential smoothing) methods is used. Results of the study show that the Baltic Dry Index in 2011 and 2012 may decrease in relation to 2010, but this drop in 2011 will be drastic and in 2012 modest.en_US
dc.language.isofaen_US
dc.titleForecasting the dry bulk freight market in 2011 and 2012en_US
dc.typeJournal Contributionen_US
dc.bibliographicCitation.issue2en_US
dc.bibliographicCitation.titleJournal of Marine Science and Technologyen_US
dc.bibliographicCitation.volume10en_US
dc.description.statusPublisheden_US
dc.format.pagerangepp.79-90en_US
dc.subject.asfaForecastingen_US
dc.subject.asfaDry Bulk Freight Marketen_US
dc.subject.asfaFreight Rate Modelsen_US
dc.subject.asfaLinear Regressionen_US
dc.subject.asfaTime series analysisen_US
dc.type.refereedRefereeden_US
refterms.dateFOA2021-01-30T18:48:40Z


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