Content area

Abstract

The abandonment option of an operating oil project refers to the right to shut down or transfer the project. As a kind of American real option, it minimizes the impact of bad operating conditions, thus increases the initial project value. Meanwhile, as a put option, it maximizes the management flexibility in unfavorable environment, especially in the current low oil prices. This article uses the trinomial tree, rather than the binomial tree widely practiced in finance, to value the option. Its lattice structure shows flexibility and intelligibility, and improves computational efficiency and accuracy. In this article, the abandonment option value incorporates uncertainties of oil price, exchange rate, political environment and taxation policy. The risk-neutral based decisions are relatively objective for oil companies. The case study indicates that the relative relationship between the abandonment option value and the project scrap value or selling price is the key to the decision-making results. A novel conclusion from the risk-neutral prospective is that, the project is more likely to be sold at higher risk scenario or with higher profit requirement. Moreover, export duty and mineral extraction tax have a greater impact on the abandonment timing than corporate income tax. This decision-making model can be introduced with modifications to other investments with increasing risk of falling asset price.

Details

Title
Abandonment Decision-Making of Overseas Oilfield Project Coping with Low Oil Price
Author
Hui-Ling, Zhou 1 ; Bao-Jun, Tang 1 ; Cao, Hong 2 

 Beijing Institute of Technology, Center for Energy and Environmental Policy Research, Beijing, China (GRID:grid.43555.32) (ISNI:0000 0000 8841 6246); Beijing Institute of Technology, School of Management and Economics, Beijing, China (GRID:grid.43555.32) (ISNI:0000 0000 8841 6246); Beijing Key Lab of Energy Economics and Environmental Management, Beijing, China (GRID:grid.43555.32); Sustainable Development Research Institute for Economy and Society of Beijing, Beijing, China (GRID:grid.43555.32); Collaborative Innovation Center of Electric Vehicles in Beijing, Beijing, China (GRID:grid.43555.32) 
 Beijing Institute of Technology, Center for Energy and Environmental Policy Research, Beijing, China (GRID:grid.43555.32) (ISNI:0000 0000 8841 6246); Capital University of Economics & Business, School of Finance, Beijing, China (GRID:grid.411923.c) (ISNI:0000 0001 1521 4747) 
Pages
1171-1184
Publication year
2020
Publication date
Apr 2020
Publisher
Springer Nature B.V.
ISSN
09277099
e-ISSN
15729974
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2071419796
Copyright
© Springer Science+Business Media, LLC, part of Springer Nature 2018.