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Information Journal Paper

Title

GASOIL PRICE FORECASTING IN PERSIAN GULF MARKET BASED ON TECHNICAL ANALYSIS AND NEURAL NETWORKS

Pages

  171-192

Abstract

 The purpose of this study is GASOIL PRICE FORECASTING in Persian Gulf Market by Using GMDH NEURAL NETWORK based on TECHNICAL ANALYSIS rules include short-term and long-term moving averages for different trends in market. The result shows that in stable market (smooth trend) can achieve to best prediction. Also the comparison reveals that the GMDH NEURAL NETWORKs consistently outperformed the ARIMA time series model developed in this study.

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References

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APA: Copy

ABRISHAMI, H., GHANIMIFARD, H.A., AHRARI, MAHDI, & REZAEI, MARZIEH. (2010). GASOIL PRICE FORECASTING IN PERSIAN GULF MARKET BASED ON TECHNICAL ANALYSIS AND NEURAL NETWORKS. ENERGY ECONOMICS REVIEW, 7(24), 171-192. SID. https://sid.ir/paper/99633/en

Vancouver: Copy

ABRISHAMI H., GHANIMIFARD H.A., AHRARI MAHDI, REZAEI MARZIEH. GASOIL PRICE FORECASTING IN PERSIAN GULF MARKET BASED ON TECHNICAL ANALYSIS AND NEURAL NETWORKS. ENERGY ECONOMICS REVIEW[Internet]. 2010;7(24):171-192. Available from: https://sid.ir/paper/99633/en

IEEE: Copy

H. ABRISHAMI, H.A. GHANIMIFARD, MAHDI AHRARI, and MARZIEH REZAEI, “GASOIL PRICE FORECASTING IN PERSIAN GULF MARKET BASED ON TECHNICAL ANALYSIS AND NEURAL NETWORKS,” ENERGY ECONOMICS REVIEW, vol. 7, no. 24, pp. 171–192, 2010, [Online]. Available: https://sid.ir/paper/99633/en

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