Estimation of Iron Ore Price in reference to Major Economic Indices using Artificial Neural Network
Iron ore is an essential commodity in human civilization where research its prediction method was limited to date. The Granger causality test and VECM proved that there is a bi-directional influence between the iron ore price and the oil, copper, and Australian coal prices. Linear Levenberg-Marquard...
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| Format: | Thesis |
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Curtin University
2024
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| Online Access: | http://hdl.handle.net/20.500.11937/95589 |
| _version_ | 1848766031682600960 |
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| author | Kim, Yoochan |
| author_facet | Kim, Yoochan |
| author_sort | Kim, Yoochan |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Iron ore is an essential commodity in human civilization where research its prediction method was limited to date. The Granger causality test and VECM proved that there is a bi-directional influence between the iron ore price and the oil, copper, and Australian coal prices. Linear Levenberg-Marquardt method predicted with highest accuracy of 5.92% difference between prediction and actual for 1 month ahead, 9.48% for 2 months ahead, and 11.21% for 3 months ahead respectively. |
| first_indexed | 2025-11-14T11:44:41Z |
| format | Thesis |
| id | curtin-20.500.11937-95589 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T11:44:41Z |
| publishDate | 2024 |
| publisher | Curtin University |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-955892024-07-31T00:45:46Z Estimation of Iron Ore Price in reference to Major Economic Indices using Artificial Neural Network Kim, Yoochan Iron ore is an essential commodity in human civilization where research its prediction method was limited to date. The Granger causality test and VECM proved that there is a bi-directional influence between the iron ore price and the oil, copper, and Australian coal prices. Linear Levenberg-Marquardt method predicted with highest accuracy of 5.92% difference between prediction and actual for 1 month ahead, 9.48% for 2 months ahead, and 11.21% for 3 months ahead respectively. 2024 Thesis http://hdl.handle.net/20.500.11937/95589 Curtin University fulltext |
| spellingShingle | Kim, Yoochan Estimation of Iron Ore Price in reference to Major Economic Indices using Artificial Neural Network |
| title | Estimation of Iron Ore Price in reference to Major Economic Indices using Artificial Neural Network |
| title_full | Estimation of Iron Ore Price in reference to Major Economic Indices using Artificial Neural Network |
| title_fullStr | Estimation of Iron Ore Price in reference to Major Economic Indices using Artificial Neural Network |
| title_full_unstemmed | Estimation of Iron Ore Price in reference to Major Economic Indices using Artificial Neural Network |
| title_short | Estimation of Iron Ore Price in reference to Major Economic Indices using Artificial Neural Network |
| title_sort | estimation of iron ore price in reference to major economic indices using artificial neural network |
| url | http://hdl.handle.net/20.500.11937/95589 |