Title of article
Prediction of Natural Gas Price Using GMDH Type Neural Network:A Case Study of USA Market
Author/Authors
Abrishami, Hamid university of tehran - Faculty of Economics, تهران, ايران , Bourbour, Fatemeh university of tehran, تهران, ايران , Aghajani, Ma’asoumeh allameh tabataba-i university, تهران, ايران
From page
1
To page
16
Abstract
In this paper, a model based on GMDH Type Neural Network, is used to predict gas price in the spot market while using oil spot market price, gas spot market price, gas future market price, oil future market price and average temperature of the weather. The results suggest that GMDH Neural Network model, according to the Root Mean Squared Error (RMSE) and Direction statistics (Dstat) statistics are more effective than OLS method. Also, first lag of gas price in the future market is the most efficient variable in predicting gas price in spot market.
Keywords
Prediction , Natural Gas Price , Neural Network , Natural Gas
Journal title
The International Journal Of Humanities
Journal title
The International Journal Of Humanities
Record number
2721311
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