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Predicting The Malaysian Gross Domestic Product Using Sliding Window Technique

In Malaysia, the quarterly economic growth is announced two months after the end of every quarter. Market players, who need to know the future behaviour of economic growth before making important business decisions, would therefore need to forecast the growth rather than waiting for the announcement...

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Main Author: Khoh, Irene Foong Lean
Format: Thesis
Language:English
English
Published: 2008
Subjects:
QA273-280 Probabilities. Mathematical statistics
Online Access:http://etd.uum.edu.my/424/1/Irene_Khoh_Foong_Lean.pdf
http://etd.uum.edu.my/424/2/Irene_Khoh_Foong_Lean.pdf
http://etd.uum.edu.my/424/
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spelling my.uum.etd.4242013-07-24T12:07:12Z http://etd.uum.edu.my/424/ Predicting The Malaysian Gross Domestic Product Using Sliding Window Technique Khoh, Irene Foong Lean QA273-280 Probabilities. Mathematical statistics In Malaysia, the quarterly economic growth is announced two months after the end of every quarter. Market players, who need to know the future behaviour of economic growth before making important business decisions, would therefore need to forecast the growth rather than waiting for the announcements all the time. However, conventional forecasting methods have flaws as the margin of error is not within the acceptable error margin. This study aims to discover patterns of the Malaysian GDP growth using sliding window technique. Discovered patterns were tested and the forecasting results are promising. 2008-05-31 Thesis NonPeerReviewed application/pdf en http://etd.uum.edu.my/424/1/Irene_Khoh_Foong_Lean.pdf application/pdf en http://etd.uum.edu.my/424/2/Irene_Khoh_Foong_Lean.pdf Khoh, Irene Foong Lean (2008) Predicting The Malaysian Gross Domestic Product Using Sliding Window Technique. Masters thesis, Universiti Utara Malaysia.
institution Universiti Utara Malaysia
building UUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Utara Malaysia
content_source UUM Electronic Theses
url_provider http://etd.uum.edu.my/
language English
English
topic QA273-280 Probabilities. Mathematical statistics
spellingShingle QA273-280 Probabilities. Mathematical statistics
Khoh, Irene Foong Lean
Predicting The Malaysian Gross Domestic Product Using Sliding Window Technique
description In Malaysia, the quarterly economic growth is announced two months after the end of every quarter. Market players, who need to know the future behaviour of economic growth before making important business decisions, would therefore need to forecast the growth rather than waiting for the announcements all the time. However, conventional forecasting methods have flaws as the margin of error is not within the acceptable error margin. This study aims to discover patterns of the Malaysian GDP growth using sliding window technique. Discovered patterns were tested and the forecasting results are promising.
format Thesis
author Khoh, Irene Foong Lean
author_facet Khoh, Irene Foong Lean
author_sort Khoh, Irene Foong Lean
title Predicting The Malaysian Gross Domestic Product Using Sliding Window Technique
title_short Predicting The Malaysian Gross Domestic Product Using Sliding Window Technique
title_full Predicting The Malaysian Gross Domestic Product Using Sliding Window Technique
title_fullStr Predicting The Malaysian Gross Domestic Product Using Sliding Window Technique
title_full_unstemmed Predicting The Malaysian Gross Domestic Product Using Sliding Window Technique
title_sort predicting the malaysian gross domestic product using sliding window technique
publishDate 2008
url http://etd.uum.edu.my/424/1/Irene_Khoh_Foong_Lean.pdf
http://etd.uum.edu.my/424/2/Irene_Khoh_Foong_Lean.pdf
http://etd.uum.edu.my/424/
_version_ 1644276161536065536
score 13.160551

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