The main objective of this research is to analyze the impact of oil price volatility on the economic growth of Pakistan. Secondary data from 1973 to 2011 were used to estimate the coefficients. Linear Regression analysis is used to analyze the dependency among the dependant and independent variables. All variable Oil price, Oil supply, oil demand, Gross Domestic production, Public sector invest...

U sing daily data, this study examined asymmetric pass-through of Iran’s oil price to banking stock index in Tehran Stock Exchange at different time horizons. Based on the results, the coefficient of long-run pass-through of oil price to banking stock index was estimated to be 0.63. Furthermore, based on the short-term ARDL-CECM models, the relationship between the positive component...

Iran is one of the oil exporting countries, so the oil price plays a remarkable role in the government budget and is a major source of foreign exchange. On the other hand, the reliance of the government budget to oil income as well as its fluctuations is a fact referred to as the most important cause of inflation by many researchers. This paper explores the effect of shocks in the exchange rate...

Hurricanes Katrina and Rita caused severe economic disruptions without warning in Louisiana and surrounding areas. These natural disasters temporarily created production losses in the oil-industry and lead to further economic losses via inter-industry linkages. Because oil is a key resource in the national economy, estimation of the economic impacts of these disasters can be accomplished with a...

Recent Hurricane Katrina and Rita caused severe economic cessations without expectations in Louisiana State. The natural disasters temporarily produced quantity losses in oil-industry and lead to further economic losses via interindustrial relations. In a sense that oil industry plays a key role to support national economy, estimation of the economic impacts of the disasters should be based on ...

The use of GARCH models to characterize crude oil price volatility is widely observed in the empirical literature. In this paper the efficiency of six univariate GARCH models and two methods of estimation the parameters for forecasting oil price volatility are examined and the best method for forecasting crude oil price volatility of Brent market is determined. All the examined models in this p...

â â â â â â â  this paper proposes a new forecasting model for investigating relationship between the price of crude oil, as an important energy source and gdp of the us, as the largest oil consumer, and the uk, as the oil producer. gmdh neural network and mlff neural network approaches, which are both non-linear models, are employed to forecast gdp responses to the oil price changes. the resul...