Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/10290
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dc.contributor.authorHuang, Genyi.en_US
dc.contributor.authorKoh, Xinyu.en_US
dc.contributor.authorNg, Mee Teng.en_US
dc.date.accessioned2008-09-24T07:42:02Z-
dc.date.available2008-09-24T07:42:02Z-
dc.date.copyright2006en_US
dc.date.issued2006-
dc.identifier.urihttp://hdl.handle.net/10356/10290-
dc.description.abstractThis paper attempts to examine whether different forecasting models will perform differently when applied to seasonal and non-seasonal firms respectively. It seeks to test 3 main classes of models: na?ve models, univariate time series models and multivariate models.en_US
dc.rightsNanyang Technological Universityen_US
dc.subjectDRNTU::Business::Finance::Investments-
dc.titlePredictive models for seasonal and non-seasonal firms.en_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorTan, Khoon Engen_US
dc.contributor.schoolCollege of Business (Nanyang Business School)en_US
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Appears in Collections:NBS Student Reports (FYP/IA/PA/PI)
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