Prediction of Gold Prices Using Artificial Neural Networks
Yazarlar (4)
Tokat Gaziosmanpaşa Üniversitesi, Türkiye
Dr. Öğr. Üyesi Onur CÖMERT
Tokat Gaziosmanpaşa Üniversitesi, Türkiye
Öğr. Gör. Numan ZENGİN
Tokat Gaziosmanpaşa Üniversitesi, Türkiye
Prof. Dr. Mahmut HEKİM
Tokat Gaziosmanpaşa Üniversitesi, Türkiye
| Makale Türü |
Özgün Makale
|
| Makale Alt Türü | Ulusal alan endekslerinde (TR Dizin, ULAKBİM) yayınlanan tam makale |
| Dergi Adı | Uluslararası Mühendislik Araştırma ve Geliştirme Dergisi |
| Dergi ISSN | 1308-5514 |
| Dergi Tarandığı Indeksler | TR DİZİN |
| Makale Dili | İngilizce |
| Basım Tarihi | 12-2017 |
| Cilt No | 9 |
| Sayı | 3 |
| Sayfalar | 83 / 89 |
| DOI Numarası | 10.29137/umagd.350596 |
| Makale Linki | http://dergipark.gov.tr/doi/10.29137/umagd.350596 |
| Özet |
| Gold, which has fulfilled the functions that money has in the past years, is now mostly used as a means of saving. Gold has been an investment instrument for Turkish society for many years. In addition, it is perceived as the most reliable means of investment by people in times of crisis and war. It is very important to estimate gold prices for investors who want to earn high profits from their investments. In this study, as input (independent variables), the data set consisting of Brent oil price, USD price, BIST100 index, Central Bank of the Republic of Turkey weekly interest rate, silver and copper prices was applied to the price of gold in ounce by applying Multi-Layer Perceptron Neural Network (MLPNN) is intended to be estimated. As the data set, weekly price and index values were used between January 2010 and December 2016 period. As a result of the study, suggestions were made about the effectiveness of gold on the input variables created by using MLPNN |
| Anahtar Kelimeler |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| TRDizin | 2 |
| Google Scholar | 13 |