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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Main Author: Kim, Yoochan
Format: Thesis
Published: Curtin University 2024
Online Access:http://hdl.handle.net/20.500.11937/95589
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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