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Equilibrium Oil Market Share under the COVID-19 Pandemic
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Academic Article
research paper
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Covid-on-the-Web dataset
has title
Equilibrium Oil Market Share under the COVID-19 Pandemic
Creator
Shi, Yun
Chen, Xiaojun
Wang, Xiaozhou
Source
ArXiv
abstract
Equilibrium models for energy markets under uncertain demand and supply have attracted considerable attentions. This paper focuses on modelling crude oil market share under the COVID-19 pandemic using two-stage stochastic equilibrium. We describe the uncertainties in the demand and supply by random variables and provide two types of production decisions (here-and-now and wait-and-see). The here-and-now decision in the first stage does not depend on the outcome of random events to be revealed in the future and the wait-and-see decision in the second stage is allowed to depend on the random events in the future and adjust the feasibility of the here-and-now decision in rare unexpected scenarios such as those observed during the COVID-19 pandemic. We develop a fast algorithm to find a solution of the two-stage stochastic equilibrium. We show the robustness of the two-stage stochastic equilibrium model for forecasting the oil market share using the real market data from January 2019 to May 2020.
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2020-07-30
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arxiv
sha1sum (hex)
92e3480b92e5f331bbc37f538c289b194fb590a4
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Equilibrium Oil Market Share under the COVID-19 Pandemic
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covid:92e3480b92e5f331bbc37f538c289b194fb590a4#body_text
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named entity 'forecasting'
named entity 'market share'
named entity 'This'
named entity 'ENERGY'
named entity 'MARKET'
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