نتایج جستجو برای: oil price by one lag

تعداد نتایج: 7880117  

2010
Ping-Yu Chen Chia-Lin Chang Chi-Chung Chen Michael McAleer

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...

2001

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 ...

Abstract Forecasting of crude oil price plays a crucial role in optimization of production, marketing and market strategies. Furthermore, it plays a significant role in government’s policies, because the government sets and implements its policies not only according to the current situation but also according to short run and long run predictions of important economic variables like oil price...

2015
Muhammad Usman Raja Mohsin Nawaz

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...

2008
Lean Yu Shouyang Wang Kin Keung Lai

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...

2016
John Wei-Shan Hu Yi-Chung Hu Jenny Chien

For decades, humans have been consuming large quantities of oil, coal and natural gas. Consequently, people must now take responsibility for having participated in productive activities that have caused the emissions of greenhouse gas (GHG) which has damaged the environment and caused problems associated with abnormal weather. Previous studies investigated the relationships between energy and c...

Journal: Iranian Economic Review 2019

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...

2004
Plott Forsythe Friedman Harrison

The futures market in West Texas Intermediate crude oil was introduced in 1983 with a posted-price cash market in which the posted price changed a few times a year. By 2002, the cash price changed almost daily. Evidence from producers’ invoices shows that this initially low frequency of price changes reflects transactions prices. Using experiments, we show that the introduction of a futures mar...

Journal: :اقتصاد پولی مالی 0
بختیار جواهری اسعد اله رضایی

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...

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