Coal Enterprises Merger and Acquisition Risk Prediction Based on Support Vector Machine
Presently, Chinas 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.
coal enterprises merger and acquisition risk index system support vector machine prediction
CHEN Xiang XIAO Ming CAT Weihua
Institute of Economics and Management Hebei University of Engineering Handan, China
国际会议
长沙
英文
3133-3136
2009-10-10(万方平台首次上网日期,不代表论文的发表时间)