This study comprises developing a more appropriate hybrid wavelet-modified GMDH model for forecasting the monthly crude palm oil (CPO) price of Malaysia. In proposed model, complex data CPO is decomposed into different sub series using discrete wavelet transform (DWT) and then it has been linked with modified model. Sigmoid, radial basis, tangent polynomial functions are selected as transfer in...

Crude oil exerts a strong influence on national economy. Changes of international crude oil price have an important effect on Chinese economy because of China’s high dependence on the import of the crude oil. Thus, Chinese stock market can be shocked by the fluctuation of oil price. Reversely, changes in crude oil imports of China have some effect on demands and price of the crude oil. This art...

Fluctuations in crude oil price significantly impact the global economic market. A rise or a fall leads to redistribution of wealth in both oil-exporting and importing countries. Under such background, efficient and accurate predictions for crude oil price are critical for a stable economic development. However, crude oil price forecasting has been proved to be an extremely tough task, due to i...

in this study, we assess the impact of oil price changes on the macroeconomic variables of some oil importers in oecd countries, including usa, italian, france and japan during the period 1960-2002. the results for different countries imply asymmetric impact of oil price changes on gdp growth rates; moreover, the results show that monetary shocks are an important and noticeable factor explainin...

Based on monthly observations, I specify an econometric model capturing the driving forces behind the crude oil price series in recent years. A large set of covariates, such as supply and demand variables as well as futures market variables, is used to test the impact on the crude oil price. Current price movements are a result of scarce refining capacity and speculators betting on higher price...

Recently developed structural models of the global crude oil market imply that the surge in the real price of oil between mid 2003 and mid 2008 was driven by repeated positive shocks to the demand for all industrial commodities, reflecting unexpectedly high growth mainly in emerging Asia. We evaluate this proposition using an alternative data source and a different econometric methodology. Rath...

The main purpose of this paper is to estimate the volatility in global fertilizer prices. The endogenous structural breakpoint unit root test and alternative volatility models, including the generalized autoregressive conditional heteroskedasticity (GARCH) model, Exponential GARCH (EGARCH) model, and GJR model are estimated for six global fertilizer prices and the crude oil price. Weekly data f...

In this study, an empirical mode decomposition (EMD) based neural network ensemble learning model is proposed for world crude oil spot price modeling and forecasting. For this purpose, the original crude oil spot price series were first decomposed into a finite and often small number of intrinsic mode functions (IMFs). Then the three-layer feed-forward neural network (FNN) model was used to mod...