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Estimating the speed of adjustment to target levels: The case of energy prices

Authors: Paresh Kumar Narayan; Seema Narayan;
Abstract
In this paper, we propose a model that estimates the speed of energy price adjustment to its target level. We also explain the source of price adjustment. Moreover, we extract energy price bubbles and show that bubbles help explain price adjustment. Since ours is the first paper that develops an energy price adjustment model and links it to bubbles, several avenues for future research have emerged from our analysis. The first is to provide a theoretical framework for the bubbles and price adjustment mechanism. The second direction of research will be to continue the search for other potential determinants of price adjustment.
Related Organizations
- RMIT University Australia
- Deakin University Australia
- Deakin University Australia
- RMIT University Australia
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).10 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%

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citations
Citations provided by BIP!
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
popularity
Popularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
10
Top 10%
Average
Top 10%
Beta
Fields of Science
Fields of Science
Related to Research communities
Energy Research