Crude oil is one of the most necessitated worldwide required commodities. Any slight fluctuation in crude oil prices can have both direct and indirect influence on the economy of the countries. The unpredictability of crude oil prices forced many companies away from the competition and it influence the stock market and many other macroeconomic variables (inflation, GDP, Import bill etc). Crude ...

ƒ In addition to accurate forecasts of the price of oil, policy-makers are interested in evaluating the risks associated with the baseline forecast to gauge the implications of alternative oil price paths for the economic outlook. A structural model of the global oil market can be used to develop risk scenarios for oil price forecasts, based on hypothetical assumptions about future demand and s...

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...

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...

This paper uses cointegration to evaluate long-run foreign exchange exposure. Since this technique requires exchange rates to be nonstationary, such that purchasing power parity does not hold in the long run, the analysis focuses on recent empirical findings suggesting that real exchange rates are nonstationary particularly because of oil price changes. Hence, the paper also estimates long-run ...

This study examines the impact of oil price volatility on macroeconomic variables of the economy of Pakistan. We employed the Glosten, Jagannathan and Runkle (GJR) and Vector Autoregressive (VAR) models. The outcomes of the GJR model show the symmetric effect of oil price shock on conditional variance. Whereas Impulse Response Functions (IRFs) show the hostile effect on the employment and the o...

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...

In the global economy, crude oil is among the most important strategic goods that affects the performance of local and international markets. Prediction of the oil price has always been an important challenging topic in the global economy and producers and consumers have constantly been trying to improve their roll in the oil price changes and for many years OPEC has been one of the key players...

sharp increase in oil price and the volatility in recent decades have attracted most researchers towards the field of energy. it seems not only the direct oil price, but also the uncertainty caused by the oil price volatility affect the raw oil supply. in this research the effect of oil price volatility on oil supply has been estimated using monthly time series data from january 1980 to septemb...

This paper estimates the effects of oil price changes on U.S. inflation in a Phillips curve framework, allowing for some of the asymmetries, nonlinearities, and structural breaks that have been found in the literature on the real effects of oil price shocks. It finds that since around 1980, oil price changes seem to affect inflation only through their direct share in a price index, with little ...