Real GDP and oil prices are decomposed into common stochastic trend and cycle processes, using structural time series models. Potential real GDP is represented by the level of the trend component of real GDP. The potential rate of growth of real GDP is represented by the stochastic drift element of the trend component. We find that there is a strong association at the trend and cycle frequencie...

Crude oil plays an increasingly significant role in world economic development and also in the generation of wealth since nearly two-thirds of the world’s energy consumption comes from crude oil and natural gas. Worldwide consumption of crude oil exceeds $500 billion—roughly 10% of US GDP and crude oil is also the world’s largest and most actively traded commodity, accounting for about 10% of t...

The main purpose of this paper is to evaluate the effect of crude oil price on global fertilizer prices in both the mean and volatility. The endogenous structural breakpoint unit root test, ARDL model, and alternative volatility models, including GARCH, EGARCH, and GJR models, are used to investigate the relationship between crude oil price and six global fertilizer prices. The empirical result...

this research studies the application of hybrid algorithms for predicting the prices of crude oil. brent crude oil price data and hybrid intelligent algorithm (time delay neural network, probabilistic neural network, and fuzzy logic) were used to build intelligent decision support systems for predicting crude oil prices. the proposed model was able to predict future crude oil prices from august...

The main purpose of this paper is to evaluate the effect of crude oil price on global fertilizer prices in both the mean and volatility. The endogenous structural breakpoint unit root test, ARDL model, and alternative volatility models, including GARCH, EGARCH, and GJR models, are used to investigate the relationship between crude oil price and six global fertilizer prices. The empirical result...

The main purpose of this paper is to evaluate the effect of crude oil price on global fertilizer prices in both the mean and volatility. The endogenous structural breakpoint unit root test, the autoregressive distributed lag (ARDL) model, and alternative volatility models, including the generalized autoregressive conditional heteroskedasticity (GARCH) model, Exponential GARCH (EGARCH) model, an...

this study uses vector error correction model to examine the effects of oilseeds, crude oil and vegetable oil tariffs on vegetable oil consumer price. monthly data sets for the years 2004-2013 and var and vecm models were applied for this study. research findings indicates only a long term equilibrium relation between the study variables .the effect of vegetable oil tariffs on consumer and prod...

this study employs a gmdh neural network model, which has high capability in recognition of complicated non-linear trends especially with small samples, for modeling and predicting iranian gdp growth. first a fundamental model containing 7 independent variables together with dependent variable is designed and then by using deductive process and omission of one variable at a time, a total of 18 ...