石油行业项目投资价值的不确定性建模

IF 0.4 4区 数学 Q4 MATHEMATICS Theory and Applications of Categories Pub Date : 2012-11-08 DOI:10.21714/2236-02632012v2n2tac26
J. Vianello, J. P. Teixeira
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引用次数: 0

摘要

在项目投资的计划价值(资本支出[CAPEX])和财务执行之间通常存在很大差距。这一事实造成了计划项目的净现值(NPV)与实现的结果之间的不匹配。根据该公司的项目组合,这甚至可能威胁到其偿付能力。因此,考虑到这些投资价值的不同可能情况的定量风险分析对于统计度量项目的实际价值是极其重要的。本文的目的是提出计划和最终投资价值不匹配的原因。虽然结果适用于石化和炼油行业的项目,也被称为石油行业的下游,但该方法可以应用于上游,甚至其他行业分支。
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Modelagem da Incerteza nos Valores de Investimentos de Projetos do Setor Petrolífero
There is often a large gap between the planned value of investment in a project (capital expenditure [CAPEX]) and financial implementation of this. This fact creates a mismatch between the net present value (NPV) of the planned project and the outcome achieved. Depending upon the company’s project portfolio, this could even threaten its solvency. Therefore, a quantitative risk analysis that takes into account different possible scenarios for these investment values is extremely important to statistically measure the real value of a project. The aim of this paper is to present the reasons for mismatch between planned and final investment values. Although the results are valid for projects in the petrochemical and refining sector, also called downstream in the oil industry, the methodology can be applied upstream, or even to other industry branches.
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来源期刊
Theory and Applications of Categories
Theory and Applications of Categories MATHEMATICS, APPLIED-MATHEMATICS
CiteScore
1.30
自引率
0.00%
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0
期刊介绍: The journal Theory and Applications of Categories will disseminate articles that significantly advance the study of categorical algebra or methods, or that make significant new contributions to mathematical science using categorical methods. The scope of the journal includes: all areas of pure category theory, including higher dimensional categories; applications of category theory to algebra, geometry and topology and other areas of mathematics; applications of category theory to computer science, physics and other mathematical sciences; contributions to scientific knowledge that make use of categorical methods.
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