UUM Electronic Theses and Dissertation
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Predicting The Malaysian Gross Domestic Product Using Sliding Window Technique

Khoh, Irene Foong Lean (2008) Predicting The Malaysian Gross Domestic Product Using Sliding Window Technique. Masters thesis, Universiti Utara Malaysia.

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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.

Item Type: Thesis (Masters)
Supervisor : UNSPECIFIED
Item ID: 424
Uncontrolled Keywords: Gross Domestic Product (GDP), Malaysia, Sliding Window Technique, Time-series Analysis
Subjects: Q Science > QA Mathematics > QA273-280 Probabilities. Mathematical statistics
Divisions: College of Arts and Sciences (CAS)
Date Deposited: 12 Oct 2009 07:17
Last Modified: 24 Jul 2013 12:07
Department: Faculty of Information Technology
URI: https://etd.uum.edu.my/id/eprint/424

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