DocumentCode :
3064218
Title :
IPO Underpricing Forecast Based on Self-adaptive Algorithm of BP Neural Network
Author :
Liu, Zhaoyang ; Li, Zhiyuan ; Zhang, Lutong
Author_Institution :
Sch. of Manage., Lanzhou Univ., Lanzhou, China
fYear :
2012
fDate :
23-26 June 2012
Firstpage :
695
Lastpage :
698
Abstract :
By way of theory and reference analyses, this paper has summarized the existing research results of IPO under pricing factors. From this, using IPO participants as axe, we have synthesized four factors influencing IPO under pricing: the internal value of listed company, investor´s behavior, behavior of creator and risk investment institution, and underwriter´s behavior.
Keywords :
backpropagation; financial data processing; forecasting theory; investment; neural nets; risk management; share prices; stock markets; BP neural network; IPO; initial public offering underpricing forecast; internal value; listed company; pricing factor; reference analysis; risk investment institution; self-adaptive algorithm; underwriter behavior; Biological neural networks; Companies; Correlation; Educational institutions; Investments; Stock markets; BP neural network; IPO underpricing; internal value; investors sentiment; underwriters reputation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Sciences and Optimization (CSO), 2012 Fifth International Joint Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4673-1365-0
Type :
conf
DOI :
10.1109/CSO.2012.159
Filename :
6274820
Link To Document :
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