â â â  â â â  abstract â  using a structural var with block exogeneity, diagonality and identifying restrictions, this paper analyzes: first, the macroeconomic linkages among the oil price, u.s. output, interest rate, money supply, general price level and exchange rate and second, the relationships of the macroeconomic variables with the price indices of ten international nonfuel commodity grou...

according to the importance of careful review of crude oil market fluctuations on the iranian economy, in this paper a multivariate model of markov switching vector error correction model (have been used). variables such as real gross domestic product in industrial sector, real effective exchange rate, real governmental expenditure, real import, inflation rate and real crude oil price is used t...

the purpose of establishing foreign reserves account in iran was mainly to secure iran's economy from the oil's price changes. it was to compensate for oil price reduction. but foreign reserves account withdrew excessively and did not allocate it optimally. that's why; it went for away from its practical purpose. this study focuses on the use of official assessment pattern to rev...

With the rapidly increasing global energy needs, offshore oil production has become an attractive source of energy. Supplying offshore oil production installations is a complex logistics problem that hinges on many factors with significant uncertainties. So, it is critical to provide the necessary supplies and services without interruption. In a typical offshore oil production effort, oil compa...

Using the threshold structural VAR model, this paper examines the multiheterogeneity impacts of international oil price shocks on Chinese stock market in the background of financialization. The research finds: (1) the effects of oil price shocks on stock returns are different across sectors and the responses of stock returns are larger in bear markets. The nonlinear effects of oil supply shocks...

Traditional ship-scheduling models ignore uncertainty, even in highly volatile markets. We present a set-packing model that limits risk using a quadratic variance constraint. After generating first-order linear constraints to represent the variance constraint, we develop a branch-and-price-and-cut algorithm for medium-sized ship-scheduling problems. Computational results are provided, and exten...

abstract the aim of this study was to selecting the suitable model for forecast land, production and price of sugar beet in iran. for this purpose, models applied to forecast are arima, single and double exponential smoothing, harmonic, artificial neural network and arch for period 1993-2008. results of durbin-watson tests, land, production and price of sugar beet series were found non stochast...