Measurement of Merger and Acquisition Performance Based on Artificial Neural Network

摘要：

The paper studied the performance of merger and acquisition (M&A) through using the artificial neural network. We proposed the index system with Jive types index. We set up the measurement model of M&A performance according to M&A motives, payment, M&A, pricing, M&A synergy effect, M&A mode, post-M&A integration ability. In our model, we considered the variables from the beginning of M&A to M&A deal completed, even some time after completion of deal. And we use the artificial neural network to solve the model, and we analyzed the dynamics of arithmetic in the solution of the model, we use the learning arithmetic to reflect the changes of variables to the arithmetic from beginning to end.

关键词： M&A Performance Measurement Artificial Neural Network

作者: Shi An Yuhai He ZeBin Zhao Jian Sun

作者单位: School of Management, Harbin Institute of Technology

会议类型: 国际会议

会议名称: Firth IEEE International Conference on Cognitive Informatics(第五届认知信息国际会议)

会议地点: 北京

会议语种:英文

页码: 502-506

在线出版日期: 2006-07-17（万方平台首次上网日期，不代表论文的发表时间）