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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2008
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Online Access: | http://hdl.handle.net/10356/10290 |
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sg-ntu-dr.10356-102902023-05-19T06:08:59Z Predictive models for seasonal and non-seasonal firms. Huang, Genyi. Koh, Xinyu. Ng, Mee Teng. Tan, Khoon Eng Nanyang Business School DRNTU::Business::Finance::Investments 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. 2008-09-24T07:42:02Z 2008-09-24T07:42:02Z 2006 2006 Final Year Project (FYP) http://hdl.handle.net/10356/10290 Nanyang Technological University application/pdf |
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DRNTU::Business::Finance::Investments Huang, Genyi. Koh, Xinyu. Ng, Mee Teng. Predictive models for seasonal and non-seasonal firms. |
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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. |
author2 |
Tan, Khoon Eng |
author_facet |
Tan, Khoon Eng Huang, Genyi. Koh, Xinyu. Ng, Mee Teng. |
format |
Final Year Project |
author |
Huang, Genyi. Koh, Xinyu. Ng, Mee Teng. |
author_sort |
Huang, Genyi. |
title |
Predictive models for seasonal and non-seasonal firms. |
title_short |
Predictive models for seasonal and non-seasonal firms. |
title_full |
Predictive models for seasonal and non-seasonal firms. |
title_fullStr |
Predictive models for seasonal and non-seasonal firms. |
title_full_unstemmed |
Predictive models for seasonal and non-seasonal firms. |
title_sort |
predictive models for seasonal and non-seasonal firms. |
publishDate |
2008 |
url |
http://hdl.handle.net/10356/10290 |
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1770564320676020224 |