Please use this identifier to cite or link to this item:
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.
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 SizeFormat 
  Restricted Access
301.6 kBAdobe PDFView/Open

Page view(s)

Updated on Jan 25, 2021


Updated on Jan 25, 2021

Google ScholarTM


Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.