Predictive models for seasonal and non-seasonal firms.
This 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.
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Main Authors: | , , |
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Other Authors: | |
Format: | Final Year Project |
Published: |
2008
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Subjects: | |
Online Access: | http://hdl.handle.net/10356/10290 |
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Institution: | Nanyang Technological University |
Summary: | This 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. |
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