Title :
Predicting Price of Target of Acquisitions Based on RBF Neural Network
Author :
Liu, Hongjiu ; Weimin Ma ; Hu, Yanrong
Author_Institution :
Sch. of Econ. & Manage., Tongji Univ., Shanghai, China
Abstract :
In order to predict price of candidates in acquisition, in this paper, we design a new model of price prediction of target based on radial basis function neural network. The model is trained by the financial data of acquisition market deals which were made in the past. The result of simulation and test indicates that average error of price prediction is percent 12. It is a suggestive reference of evaluating the feasibility of acquisitions. The result also advises more non-fanance index and training samples should be increased to improve the model.
Keywords :
financial data processing; learning (artificial intelligence); pricing; radial basis function networks; acquisition market; acquisitions target; candidates price; financial data; price prediction; radial basis function neural network; Artificial neural networks; Biological system modeling; Corporate acquisitions; Neutrons; Predictive models; Stochastic processes; Training; acquisition; adial basis function neural network; predicting price of target;
Conference_Titel :
Business Intelligence and Financial Engineering (BIFE), 2010 Third International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-7575-9
DOI :
10.1109/BIFE.2010.19
