IPO Pricing of SME Based on Artificial Neural Network

摘要：

The pricing method of new shares issuing based on artificial neural network is studied in this paper. A three-layer neural network model is established and simulation tests are carried out. It shows that the BP network model established fits well with the real first days closing price of stock and greatly improves the IPO pricing. It provides a new way to investors for forecasting IPO price of small and medium enterprise.

关键词： IPO artificial neural network SME the first days closing price simulation

作者: Xuemei Chen Yangbo Wu

作者单位: School of Economics & Management Shanghai Maritime University Shanghai, 200135, China

会议类型: 国际会议

会议名称: The Second International Conference on Business Intelligence and Financial Engineering(BIFE 2009)(第二届商务智能与金融工程国际会议)

会议地点: 北京

会议语种:英文

页码: 21-24

在线出版日期: 2009-07-24（万方平台首次上网日期，不代表论文的发表时间）