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

Authors:
Chen Xiang;Cai Weihua;Xiao Ming
Affiliations:
-;-;-
Venue:
ICICTA '09 Proceedings of the 2009 Second International Conference on Intelligent Computation Technology and Automation - Volume 04
Year:
2009

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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.