DocumentCode
2238798
Title
Investment Project Valuation Based on the Fuzzy Real Options Approach
Author
Liao, Shu-Hsien ; Ho, Shiu-Hwei
Author_Institution
Grad. Inst. of Manage. Sci., Tamkang Univ., Taipei, Taiwan
fYear
2010
fDate
18-20 Nov. 2010
Firstpage
94
Lastpage
101
Abstract
The main purpose of this paper is to propose a fuzzy approach for investment project valuation in uncertain environments from the aspect of real options. The traditional approaches to project valuation are based on discounted cash flows (DCF) analysis which provides measures like net present value (NPV) and internal rate of return (IRR). However, DCF-based approaches exhibit two major pitfalls. One is that DCF parameters such as cash flows cannot be estimated precisely in the uncertain decision making environments. The other one is that the values of managerial flexibilities in investment projects cannot be exactly revealed through DCF analysis. Both of them would entail improper results on strategic investment projects valuation. Therefore, this paper proposes a fuzzy binomial approach that can be used in project valuation under uncertainty. The proposed approach also reveals the value of flexibilities embedded in the project. Furthermore, this paper provides a method to compute the mean value of a project´s fuzzy expanded NPV that represents the entire value of project. Finally, we use the approach to practically evaluate a project.
Keywords
fuzzy set theory; investment; project management; decision making environment; discounted cash flow analysis; fuzzy binomial approach; fuzzy real options approach; internal rate-of-return; investment project valuation; managerial flexibility; net present value; Flexibility; Fuzzy numbers; Project valuation; Real options; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Technologies and Applications of Artificial Intelligence (TAAI), 2010 International Conference on
Conference_Location
Hsinchu City
Print_ISBN
978-1-4244-8668-7
Electronic_ISBN
978-0-7695-4253-9
Type
conf
DOI
10.1109/TAAI.2010.26
Filename
5695438
Link To Document