Forecasting Malaysia gold’s price by using neural networks / Norpah Mahat, Aini Mardhiah Yusuf and Siti Sarah Raseli
Gold and all kinds of gold alloys are commonly used in the manufacture of jewelry, coins and in exchange for trade in many countries. In addition, gold can conduct electricity efficiently and withstand corrosion. This has made gold becomes an important industrial metal in the late 20th century. It i...
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Universiti Teknologi MARA, Perlis
2019
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my.uitm.ir.418222021-02-22T09:00:19Z http://ir.uitm.edu.my/id/eprint/41822/ Forecasting Malaysia gold’s price by using neural networks / Norpah Mahat, Aini Mardhiah Yusuf and Siti Sarah Raseli Mahat, Norpah Yusuf, Aini Mardhiah Raseli, Siti Sarah Precious metals. Bullion Time-series analysis Neural networks (Computer science) Gold and all kinds of gold alloys are commonly used in the manufacture of jewelry, coins and in exchange for trade in many countries. In addition, gold can conduct electricity efficiently and withstand corrosion. This has made gold becomes an important industrial metal in the late 20th century. It is also important for the investors and public to know the trend of changes on gold’s price in order to assist them in making a good decision on their business. This research is done to forecast the Malaysia gold’s price by using artificial Neural Network (NN). The forecasting models are implemented by using Alyuda Neurointelligence software. A monthly gold’s price data from January 2013 until March 2018 is used and applied to the models and comparing their error measures. The results show that the Conjugate Gradient Algorithm (CGA) is chosen as the best neural network algorithm to forecast gold price since it has a higher value of correlation and R square with the best architecture design [2-5-1]. Then, the future price of gold starting from April 2018 until December 2018 is forecasted by using the best model. Universiti Teknologi MARA, Perlis 2019-12 Article PeerReviewed text en http://ir.uitm.edu.my/id/eprint/41822/1/41822.pdf Mahat, Norpah and Yusuf, Aini Mardhiah and Raseli, Siti Sarah (2019) Forecasting Malaysia gold’s price by using neural networks / Norpah Mahat, Aini Mardhiah Yusuf and Siti Sarah Raseli. Jurnal Intelek, 14 (2). pp. 126-135. ISSN 2231-7716 https://jurnalintelek.uitm.edu.my/index.php/main |
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Precious metals. Bullion Time-series analysis Neural networks (Computer science) |
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Precious metals. Bullion Time-series analysis Neural networks (Computer science) Mahat, Norpah Yusuf, Aini Mardhiah Raseli, Siti Sarah Forecasting Malaysia gold’s price by using neural networks / Norpah Mahat, Aini Mardhiah Yusuf and Siti Sarah Raseli |
| description |
Gold and all kinds of gold alloys are commonly used in the manufacture of jewelry, coins and in exchange for trade in many countries. In addition, gold can conduct electricity efficiently and withstand corrosion. This has made gold becomes an important industrial metal in the late 20th century. It is also important for the investors and public to know the trend of changes on gold’s price in order to assist them in making a good decision on their business. This research is done to forecast the Malaysia gold’s price by using artificial Neural Network (NN). The forecasting models are implemented by using Alyuda Neurointelligence software. A monthly gold’s price data from January 2013 until March 2018 is used and applied to the models and comparing their error measures. The results show that the Conjugate Gradient Algorithm (CGA) is chosen as the best neural network algorithm to forecast gold price since it has a higher value of correlation and R square with the best architecture design [2-5-1]. Then, the future price of gold starting from April 2018 until December 2018 is forecasted by using the best model. |
| format |
Article |
| author |
Mahat, Norpah Yusuf, Aini Mardhiah Raseli, Siti Sarah |
| author_facet |
Mahat, Norpah Yusuf, Aini Mardhiah Raseli, Siti Sarah |
| author_sort |
Mahat, Norpah |
| title |
Forecasting Malaysia gold’s price by using neural networks / Norpah Mahat, Aini Mardhiah Yusuf and Siti Sarah Raseli |
| title_short |
Forecasting Malaysia gold’s price by using neural networks / Norpah Mahat, Aini Mardhiah Yusuf and Siti Sarah Raseli |
| title_full |
Forecasting Malaysia gold’s price by using neural networks / Norpah Mahat, Aini Mardhiah Yusuf and Siti Sarah Raseli |
| title_fullStr |
Forecasting Malaysia gold’s price by using neural networks / Norpah Mahat, Aini Mardhiah Yusuf and Siti Sarah Raseli |
| title_full_unstemmed |
Forecasting Malaysia gold’s price by using neural networks / Norpah Mahat, Aini Mardhiah Yusuf and Siti Sarah Raseli |
| title_sort |
forecasting malaysia gold’s price by using neural networks / norpah mahat, aini mardhiah yusuf and siti sarah raseli |
| publisher |
Universiti Teknologi MARA, Perlis |
| publishDate |
2019 |
| url |
http://ir.uitm.edu.my/id/eprint/41822/1/41822.pdf http://ir.uitm.edu.my/id/eprint/41822/ https://jurnalintelek.uitm.edu.my/index.php/main |
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13.211869 |