Umar faruk bashir (8 resultados)

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Paperback. Condición: Brand New. 316 pages. 8.66x5.91x0.72 inches. In Stock.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Moving Average (MA) method adopted by the Nigerian government in projecting crude oil price benchmark has proved to be inefficient due to observed large discrepancy between domestic oil price benchmarks and the actual international crude oil prices. Therefore, the main objective of this research is to identify the best econometrics model for forecasting Nigerian crude oil prices. The research employs time series models using monthly bonny light crude oil prices data for the period of April 1986 to December, 2015. The study further used annual Bonny light crude oil prices from 1979 to 2015. The unit root tests results using ADF, PP, KPSS and correlogram indicated that both DMBLP and DABLP possess unit root, but become stationary series at first difference transformation. The best model identified for DMBLP is ARIMA (6, 1, 6). ARIMA (2, 1, 6) is found to be the suitable and parsimonious model for DABLP. Symmetric GARCH (1, 1)-GED is also found to be the parsimonious model and perform better forecast than other GARCH family model.On the other hand GARCH model performs better than the ARIMA model in term of forecasting ability of the monthly bonny light oil prices. 316 pp. Englisch.…

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Umar Faruk BashirThe author has B.sc, M.sc and PhD(economics), many publications in the most reputable journals and various papers presented in both national and international conferences. His interest are on energy and financial eco.…

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Moving Average (MA) method adopted by the Nigerian government in projecting crude oil price benchmark has proved to be inefficient due to observed large discrepancy between domestic oil price benchmarks and the actual international crude oil prices. Therefore, the main objective of this research is to identify the best econometrics model for forecasting Nigerian crude oil prices. The research employs time series models using monthly bonny light crude oil prices data for the period of April 1986 to December, 2015. The study further used annual Bonny light crude oil prices from 1979 to 2015. The unit root tests results using ADF, PP, KPSS and correlogram indicated that both DMBLP and DABLP possess unit root, but become stationary series at first difference transformation. The best model identified for DMBLP is ARIMA (6, 1, 6). ARIMA (2, 1, 6) is found to be the suitable and parsimonious model for DABLP. Symmetric GARCH (1, 1)-GED is also found to be the parsimonious model and perform better forecast than other GARCH family model.On the other hand GARCH model performs better than the ARIMA model in term of forecasting ability of the monthly bonny light oil prices.…

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Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Moving Average (MA) method adopted by the Nigerian government in projecting crude oil price benchmark has proved to be inefficient due to observed large discrepancy between domestic oil price benchmarks and the actual international crude oil prices. Therefore, the main objective of this research is to identify the best econometrics model for forecasting Nigerian crude oil prices. The research employs time series models using monthly bonny light crude oil prices data for the period of April 1986 to December, 2015. The study further used annual Bonny light crude oil prices from 1979 to 2015. The unit root tests results using ADF, PP, KPSS and correlogram indicated that both DMBLP and DABLP possess unit root, but become stationary series at first difference transformation. The best model identified for DMBLP is ARIMA (6, 1, 6). ARIMA (2, 1, 6) is found to be the suitable and parsimonious model for DABLP. Symmetric GARCH (1, 1)-GED is also found to be the parsimonious model and perform better forecast than other GARCH family model.On the other hand GARCH model performs better than the ARIMA model in term of forecasting ability of the monthly bonny light oil prices.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 316 pp. Englisch.…

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