Title :
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
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;
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
DOI :
10.1109/ICICTA.2009.754
