Saeed Rasekhi; Roya Saedi
Abstract
The purpose of the present study is to examine two hypotheses implying the importance of the resource rent and the governance quality interactive effect on determining energy intensity. Based on the first hypothesis, the resource rent (governance quality) independently increases (decreases) the energy ...
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The purpose of the present study is to examine two hypotheses implying the importance of the resource rent and the governance quality interactive effect on determining energy intensity. Based on the first hypothesis, the resource rent (governance quality) independently increases (decreases) the energy intensity, while according to the second one, the energy intensity is affected by the interaction of the two mentioned factors and in this line, the final effect of the resource rent and the governance quality on the energy intensity may be strengthened or weakened. These hypotheses have been tested by employing GMM for 58 fuel exporting countries including Iran during the time period 1998-2015. The results confirm the hypotheses and verify the vital role of the governance quality in affecting the rent on the energy intensity. The findings of this paper indicate that the independent impact of the resource rent and the governance quality on the energy intensity is positive and negative, respectively. Furthermore, based on the interactive effect, the positive impact of the resource rent becomes weaker while improving the governance quality. On the other hand, the effect of the governance quality on the energy intensity is negative even in the presence of the resource rent that shows the essential role of this factor in determining of the energy intensity.
Seed Rasekhi; Amir Khanalipour
Volume 1, Issue 1 , January 2011, , Pages 101-132
Abstract
This paper has examined the long memory of oil market volatility. For this purpose, the paper has employed different types of long run ARCH models including FIGARCH-BBM, FIGARCH-chung, FIEGARCH, FIAPARCH-BBM and FIAPARCH-chung and short run ones including GARCH, EGARCH, GJR AND APARCH with three different ...
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This paper has examined the long memory of oil market volatility. For this purpose, the paper has employed different types of long run ARCH models including FIGARCH-BBM, FIGARCH-chung, FIEGARCH, FIAPARCH-BBM and FIAPARCH-chung and short run ones including GARCH, EGARCH, GJR AND APARCH with three different assumptions of normal, t-student and generalized error distributions. Results obtained from all long run models indicate the volatility persistence, i.e. the long memory of oil market volatility. Furthermore, with regard to Akaike’s information criterion, FIAPARCH-chung with assumption of t-student distribution has the best performance. Also, according to Schwarz Criterion, FIGARCH-chung model with assumption t-student distribution is the best model in modeling volatility of oil market. Based on the results, long run models considering long memory property of volatility indicate a better performance than the short run ones. Finally, based on obtained results, asymmetric distributions including t-student and GED are found to be more suitable than normal distribution.
