Coal Enterprises Merger and Acquisition Risk Prediction Based on Support Vector Machine

Author

Chen Xiang ; Cai Weihua ; Xiao Ming

Author_Institution

Inst. of Econ. & Manage., Hebei Univ. of Eng., Handan, China

Volume

4

fYear

2009

fDate

10-11 Oct. 2009

Firstpage

154

Lastpage

157

Abstract

Presently, China´s coal enterprises are in a merger and acquisition (M&A) phase environment. The coal enterprises M&A risk prediction research is less, and lacks corresponding theory support. The paper built the coal enterprises M&A risk evaluation system, constructed the risk prediction model based on support vector machine (SVM), and collected related 13 coal enterprises data during 2004-2008 year. Based on principal component comprehensive evaluation, using the model the paper analyzed empirically, the result showed the error was small and demonstrated the feasibility and effectiveness of the method.

Keywords

coal; corporate acquisitions; mining; risk analysis; support vector machines; M&A; coal enterprises merger-and-acquisition risk prediction; principal component comprehensive evaluation; support vector machine; Conference management; Corporate acquisitions; Economic forecasting; Engineering management; Environmental economics; Environmental management; Neural networks; Risk management; Support vector machines; Technology management; coal enterprises merger and acquisition; prediction; risk index system; support vector machine;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Computation Technology and Automation, 2009. ICICTA '09. Second International Conference on

Conference_Location

Changsha, Hunan

Print_ISBN

978-0-7695-3804-4

Type

conf

DOI

10.1109/ICICTA.2009.754

Filename

5288238