Document Type : Original/Review Paper

Authors

• A.R. Hatamlou ¹
• M. Deljavan ²

¹ Department of Computer Science, Khoy Branch, Islamic Azad University, Khoy, Iran.

² Department of Computer Science, Urmia Branch, Islamic Azad University, Urmia, Iran.

Abstract

Gold price forecast is of great importance. Many models were presented by researchers to forecast gold price. It seems that although different models could forecast gold price under different conditions, the new factors affecting gold price forecast have a significant importance and effect on the increase of forecast accuracy. In this paper, different factors were studied in comparison to the previous studies on gold price forecast. In terms of time span, the collected data were divided into three groups of daily, monthly and annually. The conducted tests using new factors indicate accuracy improvement up to 2% in neural networks methods, 7/3% in time series method and 5/6% in linear regression method.

Keywords

• Gold price forecast
• data mining
• time series
• neural networks
• regression

Main Subjects

• H.3. Artificial Intelligence