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Lazim Abdullah
Department of Mathematics faculty of Science and Technology University Malaysia Terengganu
Computer Science & IT Earth & Planetary Sciences Environmental Science Materials Science & Nanotechnology Mathematics Physics

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Journal : International Journal of Advances in Applied Sciences

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ARIMA Model for Gold Bullion Coin Selling Prices Forecasting Lazim Abdullah
International Journal of Advances in Applied Sciences Vol 1, No 4: December 2012
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (147.521 KB) | DOI: 10.11591/ijaas.v1.i4.pp153-158

Abstract

Time series forecasting is an active research area that has drawn considerable attention for applications in a variety of areas. Auto-Regressive Integrated Moving Average (ARIMA) models are one of the most important time series models used in financial market forecasting over the past three decades but not very often used to forecast gold prices.  This paper attempts to address the forecasting of gold bullion coin selling prices. The forecasting models ARIMAs are applied to forecast the gold bullion coin prices. The result suggests that ARIMA (2, 1, 2) is the most suitable model to be used for forecasting gold bullion coin prices. Closer examination suggests that the gold bullion coin selling prices are in upward trends and could be considered as a worthy investment.
Co-Authors Hui Mei Ling