利用上市公司披露的信息数据库为平台，将神经网络方法应用于财务风险识别。
In this paper we apply neural network prediction method to financial risk detection on the basic of the database of listed companies' released information.
对中国典型的上市公司的并购个案进行实地调研，撰写上市公司并购的个案分析报告，建立中国上市公司并购的数据库，研究创造价值的并购模式。
Select typical M&A cases for the listed companies in China, do field researches, compose case analytical reports, set up M&A database and study the value creation based on these M&A models.
本文比较分析了度量控制权私有收益的不同方法，构建了控制权发生转移的数据库，计算了中国上市公司的控制权私有收益。
This paper evaluates the private benefits of control with the help of transfer price difference between the controlling block and the non-controlling block of a company within same year.
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