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Author:Malliaris, M.E.
Malliaris, S.G.
Title:Forecasting inter-related energy product prices
Journal:European Journal of Finance
2008 : JUL-SEP, VOL. 14:5-6, p. 453-468
Index terms:neural networks
regression analysis
models
forecasting
energy industry
products
prices
Freeterms:inter-related products
crude oil
heating oil
gasoline
natural gas
propane
data
input and output variables
spot prices
Language:eng
Abstract:The article uses that five inter-related energy products are forecasted one month into the future using both linear and nonlinear techniques. Both spot prices and data derived from those prices are used as input data in the models. Based on the models are tested by running data from the following year through them. The results indicates that even though all products are highly correlated, the prediction results are asymmetric.
SCIMA record nr: 272425
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