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- W2493230868 abstract "In this study, we constructed the models to predict gold prices through neural network by using some variables that are assumed to affect gold prices such as silver prices, Brent prices, USD/EUR parity, EuroNext 100 index, Dow Jones Index, 13-weeks the US bond interest rates, CPI in the US. The estimation results of these artificial neural network models are compared with real values by using calculated performance criteria such as R2, RMSE, MAE and MAPE (%) values. The findings suggest that artificial neural networks can be successfully used to estimate the gold prices. According to the results of sensitivity analysis, the major factors that affect the gold prices are silver and oil prices." @default.
- W2493230868 created "2016-08-23" @default.
- W2493230868 creator A5081807780 @default.
- W2493230868 date "2016-01-01" @default.
- W2493230868 modified "2023-09-27" @default.
- W2493230868 title "ALTIN FİYATLARININ YAPAY SİNİR AĞLARI İLE TAHMİNİ VE BİR UYGULAMA FORECASTING GOLD PRICES BY USING ARTIFICIAL NEURAL NETWORK AND AN APPLICATION" @default.
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- W2493230868 hasPublicationYear "2016" @default.
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