• DocumentCode
    2964645
  • Title

    The option-game analyses on pricing decision of the target enterprise of M&A under fuzzy information surroundings

  • Author

    Yu, Jing ; Xu, Bin ; Wang, Yuanhua

  • Author_Institution
    Res. Center on Fictitious Econ. & Data Sci., CAS, Beijing, China
  • fYear
    2009
  • fDate
    8-11 Dec. 2009
  • Firstpage
    754
  • Lastpage
    758
  • Abstract
    Though the price of M&A has already been studied based on classical NPV model, which is not adaptable for real uncertain situation. This paper presents a new approach of measuring the target enterprise value of M&A, consisting of two parts, one is measured by NPV model and another is measured by real options model, which can be integrated to calculate the target enterprise by introducing synergy effect coefficient into the developed model. The price of target enterprise can be attained by famous Rubenstein bargaining theorem which was improved to adapted to the fuzzy information surroundings. In last, a numeric simulation was drawn to illustrate the application of price decision formulation, and the sensitivity of price was also shown with the variability of parameters among the developed price-decision model.
  • Keywords
    corporate acquisitions; fuzzy set theory; game theory; pricing; NPV model; Rubenstein bargaining theorem; fuzzy information surroundings; merger and acquisition; option-game analyses; price decision formulation; pricing decision; real options model; synergy effect coefficient; target enterprise; Clothing; Content addressable storage; Corporate acquisitions; Finance; Fluctuations; Game theory; Information analysis; Measurement units; Numerical simulation; Pricing; fuzzy information surroundings; improved Rubenstein bargaining theorem; option game analyses; synergy effect coefficient;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management, 2009. IEEM 2009. IEEE International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4244-4869-2
  • Electronic_ISBN
    978-1-4244-4870-8
  • Type

    conf

  • DOI
    10.1109/IEEM.2009.5372927
  • Filename
    5372927