Please use this identifier to cite or link to this item:
https://hdl.handle.net/10356/10290| Title: | Predictive models for seasonal and non-seasonal firms. | Authors: | Huang, Genyi. Koh, Xinyu. Ng, Mee Teng. |
Keywords: | DRNTU::Business::Finance::Investments | Issue Date: | 2006 | Abstract: | 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. | URI: | http://hdl.handle.net/10356/10290 | Schools: | Nanyang Business School | Rights: | Nanyang Technological University | Fulltext Permission: | restricted | Fulltext Availability: | With Fulltext |
| Appears in Collections: | NBS Student Reports (FYP/IA/PA/PI) |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| NBS-REPORTS_2855.pdf Restricted Access | 301.6 kB | Adobe PDF | View/Open |
Page view(s)
462
Updated on Mar 28, 2025
Download(s)
2
Updated on Mar 28, 2025
Google ScholarTM
Check
Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.