A Literature Review on Gold Price Predictive Techniques
As the value of gold cannot be blindly rejected, forecasting the future prices of gold has long been an intriguing topic and is extensively studied by researchers from different fields including economics, statistics, and computer science. The motivation for these studies is naturally to predict...
| Main Authors: | , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2015
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/11213/ http://umpir.ump.edu.my/id/eprint/11213/1/A%20Literature%20Review%20On%20Gold%20Price%20Predictive%20Techniques.pdf |
| Summary: | As the value of gold cannot be blindly rejected,
forecasting the future prices of gold has long been an intriguing
topic and is extensively studied by researchers from different
fields including economics, statistics, and computer science. The
motivation for these studies is naturally to predict the future
prices so that gold can be bought and sold at profitable positions
and reduce the risk of investment. However, there are still a lot of
un-tackled questions and room for improvements in these
forecasting techniques. This is because there are no optimal
models for all forecasting problems. Different question needs a
different answer; therefore, more experiments and modeling
need to be done in order for researcher to enhance their findings.
The target of this paper is to present a critical literature review
and an up to date bibliography on gold forecasting techniques
over the world. Various forecasting techniques concerning the
gold price prediction have been highlighted including basic
forecasting approached such as Artificial Neural Networks
(ANN), hybrid forecasting approach, Swarm Intelligence
approach and so on. |
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