Volume 10, Issue 3, March 2015, Pages 836–843
Accounting, Economics and Financial Management Conference (AEFMC 2014), Iran 26-27 October 2014
Amir Aliabbaszadehasl1, Mohammad Hossein Kiani2, and Sepideh Aboutalebi3
1 Faculty of Management, Department of Finance, Tehran University, Tehran, Iran
2 Faculty of Management, Department of Finance, Tehran University, Tehran, Iran
3 Faculty of Management, Department of Finance, Tehran University, Tehran, Iran
Original language: English
Copyright © 2015 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Investment in gold is one of the interesting ways of earning money in Iran. Therefore, access to gold price is a main factor for investors. In recent years, easy access to gold price has faced withsome restrictions because of its high volatility. There are numerous means of gold price prediction. Recently, artificial intelligence and Neural Network have attracted much attention among scientific communities due to their high accuracy in price prediction. In this paper, prices of Iranian Bahar-e-Azadi gold coin have been extracted in a period of one year.After identifying the effective factors, influence of each factor has been acquired. Afterwards,theprice of gold coin has been predicted with the Neural Network method and finally, the accuracy of this procedure has been obtained.
Author Keywords: Investment, High volatility, Gold coin, Neural Network, Price prediction.
Accounting, Economics and Financial Management Conference (AEFMC 2014), Iran 26-27 October 2014
Amir Aliabbaszadehasl1, Mohammad Hossein Kiani2, and Sepideh Aboutalebi3
1 Faculty of Management, Department of Finance, Tehran University, Tehran, Iran
2 Faculty of Management, Department of Finance, Tehran University, Tehran, Iran
3 Faculty of Management, Department of Finance, Tehran University, Tehran, Iran
Original language: English
Copyright © 2015 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
Investment in gold is one of the interesting ways of earning money in Iran. Therefore, access to gold price is a main factor for investors. In recent years, easy access to gold price has faced withsome restrictions because of its high volatility. There are numerous means of gold price prediction. Recently, artificial intelligence and Neural Network have attracted much attention among scientific communities due to their high accuracy in price prediction. In this paper, prices of Iranian Bahar-e-Azadi gold coin have been extracted in a period of one year.After identifying the effective factors, influence of each factor has been acquired. Afterwards,theprice of gold coin has been predicted with the Neural Network method and finally, the accuracy of this procedure has been obtained.
Author Keywords: Investment, High volatility, Gold coin, Neural Network, Price prediction.
How to Cite this Article
Amir Aliabbaszadehasl, Mohammad Hossein Kiani, and Sepideh Aboutalebi, “A Model for Prediction of Bahar Azadi Coin Price via Neural Network,” International Journal of Innovation and Applied Studies, vol. 10, no. 3, pp. 836–843, March 2015.
