Real options valuation of international railway construction projects: a case study
David Liu,
Xiao Chen and
Shufang Liao
International Journal of Business Continuity and Risk Management, 2014, vol. 5, issue 3, 184-196
Abstract:
This paper aims to analyse an actual complex, real-life international railway construction project by using real option approach (ROA), namely, the Mecca Railway Construction Project conducted by the China Railway Construction Corporation Limited (CRCC) in 2009, in which the company had made a huge financial loss. This research tries to retrieve the company's decision process by calculating the net present value (NPV) of the project, and further evaluate the real options embedded in the project by using binomial tree method and Black-Scholes option pricing model. The employed methods help to have evaluated two types of real options in the project, i.e., option to abandon and option to defer. We have shown that the embedded options in the project contract could have reduced the company's financial loss by adopting flexible strategies in decision-making.
Keywords: real options; construction projects; binomial tree; case study; railways; railway industry; rail industry; rail transport; B-S model; Black-Scholes; China; Mecca Railway Construction Project; financial losses; decision making; net present value; NPV; abandonment; preferment; embedded options; project contracts; flexibility; risk management. (search for similar items in EconPapers)
Date: 2014
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.inderscience.com/link.php?id=66157 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ids:ijbcrm:v:5:y:2014:i:3:p:184-196
Access Statistics for this article
More articles in International Journal of Business Continuity and Risk Management from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().