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

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3064218