Applying the simultaneous-equation model, this study finds that the output elasticity with respect to the real oil price is estimated to be -0.042, indicating that if the real oil price rises 10%, real GDP would decrease by 0.42%. In addition, real output in Korea is positively associated with the money supply, real deficit spending, and the real stock price and negatively influenced by real de...

American U.S. crude oil prices have dropped significantly of late down to a low of less than $30 a barrel in early 2016. At the same time price volatility has increased and crude in storage has reached record amounts in the U.S. America. Low oil prices in particular pose quite a challenge for the survival of U.S. America’s tight-oil industry. In this paper we assess the current profitability an...

T he study seeks to investigate both linear and nonlinear effects of oil price movement on critical macroeconomic variables (output, price and exchange rate) in Nigeria using ARDL modeling approach. Previous studies substantially relied on linear methods using VAR approach to unravel this links without a clear conclusion. In an attempt to seek better results in this study, we employ both l...

This paper sums up the applications of statistic models such as ARCH-family models, cointegration theory and Granger causality etc in oil price time series analysis and introduces the method of data mining combined with statistic knowledge to analysis oil price time series. In addition, the paper also explains advantages, functions, relevant technologies of this method and its potential applica...

Improving living standards amidst falling oil prices among countries relying heavily on an ample supply of oil presents numerous challenges. Therefore, the relationship associated with oil price changes with identifiable metrics that explain standards of living becomes critical. The following issues are presented in this paper: the management of wealth; sustaining a standard of living; peculiar...

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 ...