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:	eng eng
Published:	2008
Subjects:	QA273-280 Probabilities Mathematical statistics
Online Access:	https://etd.uum.edu.my/424/1/Irene_Khoh_Foong_Lean.pdf https://etd.uum.edu.my/424/2/Irene_Khoh_Foong_Lean.pdf
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id	my-uum-etd.424
record_format	uketd_dc
spelling	my-uum-etd.4242013-07-24T12:07:12Z Predicting The Malaysian Gross Domestic Product Using Sliding Window Technique 2008-05-31 Khoh, Irene Foong Lean College of Arts and Sciences (CAS) Faculty of Information Technology 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 Thesis https://etd.uum.edu.my/424/ https://etd.uum.edu.my/424/1/Irene_Khoh_Foong_Lean.pdf application/pdf eng validuser https://etd.uum.edu.my/424/2/Irene_Khoh_Foong_Lean.pdf application/pdf eng public masters masters Universiti Utara Malaysia
institution	Universiti Utara Malaysia
collection	UUM ETD
language	eng eng
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
qualification_name	masters
qualification_level	Master's degree
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
granting_institution	Universiti Utara Malaysia
granting_department	College of Arts and Sciences (CAS)
publishDate	2008
url	https://etd.uum.edu.my/424/1/Irene_Khoh_Foong_Lean.pdf https://etd.uum.edu.my/424/2/Irene_Khoh_Foong_Lean.pdf
_version_	1747826911911870464

Predicting The Malaysian Gross Domestic Product Using Sliding Window Technique

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