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author:

Fu, C. (Fu, C..) [1]

Indexed by:

Scopus

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. © 2011 IEEE.

Keyword:

Business valuation; Hierarchical clustering; Intellectual capital; Multivariate adaptive regression splines

Community:

  • [ 1 ] [Fu, C.]School of Management, Fuzhou University, Fuzhou, China

Reprint 's Address:

  • [Fu, C.]School of Management, Fuzhou University, Fuzhou, China

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Source :

International Conference on Management and Service Science, MASS 2011

Year: 2011

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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