نتایج جستجو برای: Crude Oil Price, GDP, GMDH
تعداد نتایج: 263281 فیلتر نتایج به سال:
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...
       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...
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 ...
eiarnination the oil market and review the major oil importer countries, is a major need for guidance and marketing strategy for crude oil exporting countries. so that estimating the oil demand for importer countries and analysis the effective factors on their oil demand, can be an important factor in planning and policy making for oil exporting countries in order to sell oil. so iran is not an...
in general, energy prices, such as those of crude oil, are affected by deterministic events such as seasonal changes as well as non-deterministic events such as geopolitical events. it is the non-deterministic events which cause the prices to vary randomly and makes price prediction a difficult task. one could argue that these random changes act like noise which effects the deterministic variat...
Fluctuations in crude oil prices are among the factors affecting other economic indicators, and therefore these fluctuations have always been of interest to economists. In this paper, the effect of fundamental market factors (supply and demand of crude oil) on changes in world oil prices is addressed and supply and demand elasticity are estimated using the simultaneous equations system consider...
The main objective of this study is to investigate the effects of oil shocks on GDP, prices level, money and exchange rates in Iran by using the structural vector error correction (SVEC) approach model covering the period 1980Q2-2010Q1. The findings of this study reveal that positive shock in oil real price has significant and positive effect on the real GDP in the short, medium and long. The i...
This paper discussed the impact of higher oil prices on the Pakistan’s economy during 1990 to 2008. Pakistan is not oil producing rather oil-importing country. An increase in oil price leads to inflation, increase budget deficit and puts downward pressure on exchange rate which makes imports more expensive. The rising oil prices are the major concern for all the developing economies and Pakista...
A State-of-the-Art Review of Finance Research in Physical and Financial Trading Markets in Crude Oil
It goes without saying that crude oil is important for both developed and emerging economies, with crude oil-related expenditures representing a significant proportion of total economic inputs, and an even more substantial share of total energy consumption. For example, energy expenditures of about $1,233 billion in the US currently account for some 8.8% of its GDP (from a high of 13.7% in 1981...
in this paper, a model based on gmdh type neural network, is used to predict gas price in the spot market while using oil spot market price, gas spot market price, gas future market price, oil future market price and average temperature of the weather. the results suggest that gmdh neural network model, according to the root mean squared error (rmse) and direction statistics (dstat) statistics ...
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