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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| 語言: | eng eng |
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2008
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| 在線閱讀: | 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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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 |