The Use of Grey Verhulst Model in the Prediction of Operating Activity Cash Flow

Author

Su, Jin ; Zhou, Jianyong

Author_Institution

Coll. of Manage., Univ. of Shanghai for Sci. & Technol., Shanghai, China

fYear

2011

fDate

17-18 Oct. 2011

Firstpage

27

Lastpage

31

Abstract

In order to make a correct decision on avoiding financial crisis for the enterprise, it is necessary to investigate the trends of net cash flow in the enterprise business activities. In this paper, operating cash flow forecasting model is built on the use of the Gray Verhulst Model as well as the BP Neural Network approach. Empirical analyses prove that the average relative error rate is much less than that using the two methods respectively. What´s more, the accuracy and precison of the model are better, which, to some extent, enjoys the application values.

Keywords

decision making; economic forecasting; financial management; grey systems; neural nets; prediction theory; BP Neural Network approach; Grey Verhulst model; decision making; enterprise business activities; enterprise financial crisis; operating activity cash flow prediction; operating cash flow forecasting model; Accuracy; Artificial neural networks; Biological neural networks; Companies; Data models; Predictive models; Grey Verhulst; Neural Network; Operating Activity Cash Flow; Prediction;

fLanguage

English

Publisher

ieee

Conference_Titel

Business Intelligence and Financial Engineering (BIFE), 2011 Fourth International Conference on

Conference_Location

Wuhan

Print_ISBN

978-1-4577-1541-9

Type

conf

DOI

10.1109/BIFE.2011.147

Filename

6121081