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dc.contributor.authorAbadie, Luis María
dc.contributor.authorChamorro Gómez, José Manuel ORCID
dc.date.accessioned2018-05-15T17:14:08Z
dc.date.available2018-05-15T17:14:08Z
dc.date.issued2016-10
dc.identifier.citationEnergies 9(10) : (2016) // Article ID 848es_ES
dc.identifier.issn1996-1073
dc.identifier.urihttp://hdl.handle.net/10810/26898
dc.description.abstractAmerican U.S. crude oil prices have dropped significantly of late down to a low of less than $30 a barrel in early 2016. At the same time price volatility has increased and crude in storage has reached record amounts in the U.S. America. Low oil prices in particular pose quite a challenge for the survival of U.S. America's tight-oil industry. In this paper we assess the current profitability and future prospects of this industry. The question could be broadly stated as: should producers stop operation immediately or continue in the hope that prices will rise in the medium term? Our assessment is based on a stochastic volatility model with three risk factors, namely the oil spot price, the long-term oil price, and the spot price volatility; we allow for these sources of risk to be correlated and display mean reversion. We then use information from spot and futures West Texas Intermediate (WTI) oil prices to estimate this model. Our aim is to show how the development of the oil price in the future may affect the prospective revenues of firms and hence their operation decisions at present. With the numerical estimates of the model's parameters we can compute the value of an operating tight-oil field over a certain time horizon. Thus, the present value (PV) of the prospective revenues up to ten years from now is $37.07/bbl in the base case. Consequently, provided that the cost of producing a barrel of oil is less than $37.07 production from an operating field would make economic sense. Obviously this is just a point estimate. We further perform a Monte Carlo (MC) simulation to derive the risk profile of this activity and calculate two standard measures of risk, namely the value at risk (VaR) and the expected shortfall (ES) (for a given confidence level). In this sense, the PV of the prospective revenues will fall below $22.22/bbl in the worst 5% of the cases; and the average value across these worst scenarios is $19.77/bbl. Last we undertake two sensitivity analyses with respect to the spot price and the long-term price. The former is shown to have a stronger impact on the field's value than the latter. This bodes well with the usual time profile of tight oil production: intense depletion initially, followed by steep decline thereafter.es_ES
dc.description.sponsorshipThe authors gratefully acknowledge financial support from the Basque Government IT799-13. Luis M. Abadie also thanks financial support from the Spanish Ministry of Science and Innovation (ECO2015-68023). These funds have covered the costs to publish in open access. They also thank two anonymous reviewers for their remarks, which have improved both the content and the presentation.es_ES
dc.language.isoenges_ES
dc.publisherMDPIes_ES
dc.relationinfo:eu-repo/grantAgreement/MINECO/ECO2015-68023es_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.subjecttight oiles_ES
dc.subjectoil pricees_ES
dc.subjectstochastic processes_ES
dc.subjectfutures priceses_ES
dc.subjectMonte Carlo (MC) simulationes_ES
dc.subjectrisk profilees_ES
dc.subjectvalue at risk (VaR)es_ES
dc.subjectexpected shortfall (ES)es_ES
dc.titleRevenue Risk of US Tight-Oil Firmses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.holder© 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC-BY)es_ES
dc.rights.holderAtribución 3.0 España*
dc.relation.publisherversionhttp://www.mdpi.com/1996-1073/9/10/848es_ES
dc.identifier.doi10.3390/en9100848
dc.departamentoesEconomía financiera IIes_ES
dc.departamentoeuFinantza ekonomia IIes_ES


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© 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC-BY)
Except where otherwise noted, this item's license is described as © 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC-BY)