• DocumentCode
    2977268
  • Title

    Business Valuation Based on Intellectual Capital: A Hierarchical Clustering-MARS Approach

  • Author

    Fu, Chuanrui

  • Author_Institution
    Sch. of Manage., Fuzhou Univ. Fuzhou, Fuzhou, China
  • fYear
    2011
  • fDate
    12-14 Aug. 2011
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The traditional valuation methods developed in industrial economy can´t accurately appraise firms in knowledge economy due to their ignorance of intellectual capital. Based on the value creating mechanism of intellectual capital, this study proposes a novel valuation approach named hierarchical clustering-MARS approach. The method intelligently searches similar firms as target firm through hierarchical clustering, and utilizes nonparametric multivariate adaptive regression splines (MARS) technique to estimate the value creation function for target firm. Then the target firm value is forecasted using the estimated value creation function. The study also investigates the effectiveness of the new approach by a sample of Chinese high technology firms listed in A-share market. The empirical result proves that the hierarchical clustering-MARS approach meets the accuracy requirement of appraisal and is of practical use.
  • Keywords
    industrial economics; knowledge management; regression analysis; splines (mathematics); A-share market; Chinese high-technology firms; business valuation; estimated value creation function; hierarchical clustering-MARS approach; industrial economy; intellectual capital; knowledge economy; nonparametric multivariate adaptive regression splines technique; value creating mechanism; Appraisal; Companies; Cost accounting; Humans; Knowledge management; Mars;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management and Service Science (MASS), 2011 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-6579-8
  • Type

    conf

  • DOI
    10.1109/ICMSS.2011.5998895
  • Filename
    5998895