• 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