Kjetil Emhjellen, Magne Emhjellen
When evaluating new investment projects, oil companies traditionally use the discounted cash flow method, which necessitates expected cash flows in the numerator and a risk-adjusted required rate of return in the denominator to calculate net present value. A significant component of this method is the capital expenditure (CAPEX) of a project, which is often represented by a single cost figure that may include an indication of its probability distribution. This article highlights the prevalent industry practice of reporting a 50/50 (median) CAPEX rather than the estimated expected (expected value) CAPEX, particularly when cost distributions exhibit asymmetry. We demonstrate that this practice can result in valuation errors, leading to potentially erroneous investment decisions and the acceptance of projects with negative net present values. The implications of relying on median CAPEX estimations in the context of investment decision-making in the oil industry and others are discussed, emphasizing the need for more accurate cost estimation methodologies to avoid significant financial risks.
@article{d7e30339-18a4-4fa4-981e-83ded9f50990,
title={Investment cost estimates and investment decisions},
author={Kjetil Emhjellen and Magne Emhjellen},
year={2002},
language={en}
}TY - JOUR TI - Investment cost estimates and investment decisions AU - Kjetil Emhjellen AU - Magne Emhjellen PY - 2002 LA - en ER -
A. Ryan, E. Johanson
The design of process plants for feasibility studies must address several key objectives, including feasibility and constructibility, while focusing o
Chiranjib Kumar Gupta
This book provides a comprehensive overview of the field of chemical metallurgy, addressing both common and less common metals. The objective of the v
Unknown, Unknown
This chapter discusses metal casting processes, highlighting the diversity and common characteristics among them. The objective is to elucidate the fu
Rajesh Jha, Bimal Kumar Jha
This book describes the application of artificial intelligence (AI) and machine learning (ML) concepts to develop predictive models that can be used t
The Australasian Institute of Mining and Metallurgy
This conference, held in Perth, Western Australia, focuses on the latest advancements in metallurgical processing plant design and operational strateg
David Pollard, Geoff Dunlop
The MetPlant 2008 conference focused on advancements in metallurgical processing of ores, emphasizing plant design, operation strategies, and innovati