Title :
IPO Pricing of SME Based on Artificial Neural Network
Author :
Chen, Xuemei ; Wu, Yangbo
Author_Institution :
Sch. of Econ. & Manage., Shanghai Maritime Univ., Shanghai, China
Abstract :
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 day´s 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.
Keywords :
backpropagation; forecasting theory; investment; neural nets; pricing; small-to-medium enterprises; BP network model; IPO price forecasting; IPO pricing; SME; artificial neural network; small and medium enterprise; three-layer neural network model; Artificial neural networks; Economic forecasting; Electronics industry; Input variables; Neural networks; Pricing; Profitability; Sampling methods; Statistics; Stock markets; IPO; SME; artificial neural network; simulation; the first day´s closing price;
Conference_Titel :
Business Intelligence and Financial Engineering, 2009. BIFE '09. International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-0-7695-3705-4
DOI :
10.1109/BIFE.2009.14
