Price prediction of target of mergers and acquisitions based on genetic-algorithm BP neural network

Author

Liu, Hongjiu ; Ma, Weimin

Author_Institution

Sch. of Econ. & Manage., Tongji Univ., Shanghai, China

fYear

2009

fDate

8-11 Dec. 2009

Firstpage

787

Lastpage

791

Abstract

In order to predict the price of candidates in acquisition and evaluate its feasibility, this paper puts forward a model of price prediction of candidates based on genetic-algorithm and BP neural network. The model is trained by the data of market deals which were made in the past. The result of simulation and test indicates that average error of prediction is percent 11.03. It can be as the reference of evaluating the feasibility of mergers & acquisitions. More index and training samples should be increased to improve the model.

Keywords

corporate acquisitions; genetic algorithms; market research; neural nets; acquisition candidates price; acquisition feasibility; genetic algorithm BP neural network; market deals data; merger feasibility; price prediction model; Corporate acquisitions; Costs; Economic forecasting; Engineering management; History; Neural networks; Predictive models; Profitability; Stochastic processes; Technology management; Acquisition; BP neural network; genetic-algorithm; price prediction;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Engineering and Engineering Management, 2009. IEEM 2009. IEEE International Conference on

Conference_Location

Hong Kong

Print_ISBN

978-1-4244-4869-2

Electronic_ISBN

978-1-4244-4870-8

Type

conf

DOI

10.1109/IEEM.2009.5372914

Filename

5372914