Economics and Business
Quarterly Reviews
ISSN 2775-9237 (Online)
Published: 20 August 2019
Estimating the Value of the Lebanese Oil Resources Modeling and Forecasting Oil Price
Latife Ghalayini, Fabienne Saade
Lebanese University, Lebanon
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10.31014/aior.1992.02.03.128
Pages: 804-817
Keywords: Dynamic OLS, Future oil markets, Gold price, Lebanese oil resources, Open interest, Spot oil price
Abstract
The aim of this paper is to estimate the value of the Lebanese oil resources. It presents an overview of the natural resources within the Lebanese territories and economic zone. Furthermore, it analyses the oil spot price characteristics and volatility. It studies the oil future market while exploring the relation between speculation and spot oil price in the short run. Findings prove that in the short run, changes in oil inventories do not Granger cause changes in oil price, neither does the change in future prices. However, outcomes show that in the short run, the change in gold price granger causes the oil spot price. Additionally, in the aim of forecasting accurate oil price, the paper builds a Dynamic OLS equilibrium. The model includes the oil demand, the oil supply, the oil inventories, the USD/SDR exchange rate, the Gold price, and the open interest contracts in futures market as speculation effect. Eventually, with an estimate of the volume of the resources and the price forecasts until 2025, the paper forecasts the value of the Lebanese resources.
References
-
Balabanoff, S. (1994). The dynamics of energy demand in Latin America. economics section economics.
-
Bentzen, J. (1993). Short- and long-run elasticities in energy demand: A cointegration approach. Energy Economics.
-
Chen, S., & Chen, H. (2007). Oil prices and real exchange rates. economic papers.
-
Dickey David, A., & Fuller Wayne, A. (1979). Distribution of the Estimators for autoregressive time series with a unit root (Vol. 74). Journal of the American Statistical Association.
-
Douglas Bohi, R. (1981). Analyzing Demand Behavior: A Study of Energy Elasticities. Retrieved from https://researchgate.com
-
Elton, N. (1996). The structure of Demand for electricity . Retrieved from https://researchgate.com
-
Engle, R., & Granger, C. (1988). Co-integration and error correction: Representation, estimation.
-
Ghalayini, L. (2015). Modeling and forecasting spot oil price. Eurasian Business and Economics Society.
-
Granger, C. (1969). Investigating causal relations by econometric models and cross-spectral.
-
Hugyecz, A. (2012). Cooperation in the petroleum industry in light of the corporate strategies. International Relations.
-
Masih, R., & Masih, A. (1996). Stock-Watson Dynamic OLS (DOLS) and Error Correction Modeling Approaches to Estimating Long and Short Run Elasticities in a Demand Function (Vol. 20). Mainland China Energy Economics.
-
Munasinghe, M. (1990). Energy Analysis and policy.
-
Anonymous. (2015). Oil and Gas and the lebanese government. Bank Med research Center.
-
Anonymous. (2016). Oil Production levels. Organisation of petroleum exporting countries.
-
Pindyck, R. (1980). Uncertainty and Exhaustible Resource Markets.
-
Rahim, A. (2013). Lebanon Petrol and gas.
-
Saikkonen, P. (1991). Asymptotically efficient cointegration regression. economic papers.
-
Stock, J., & Watson, M. (1993). A Simple Estimator of Cointegrating Vectors in Higher Order Integrated Systems. Econometrica.
-
Anonymous. (2013). world Gas production. International Energy Agency.
-
Anonymous. (2013). World oil production IEA. International Energy Agency.
-
Ye, M., Zyren, J., & Shore, J. (2002). Forecasting crude oil spot price using OECD petroleum. Springer.
-
Zamani, M. (2004). Monthly oil market Report. OPEC.