The Study on Soybean Price Fluctuations Based on Chaos Theory

Author

Jun, Meng ; Chao, Sun

Author_Institution

Appl. Math., Northeast Agric. Univ., Harbin, China

Volume

2

fYear

2010

Firstpage

51

Lastpage

55

Abstract

Soybean prices are influenced by many factors including the climate, the level of household consumption, consumption structure, the structure of supply and demand of domestic and international stock and futures markets and the circulation system of the soybean, have a nonlinear dynamic system characteristics and the evolution law, suitable for the application of chaotic time sequence to study the law of price fluctuations and price forecasts. In this paper, we mainly use the chaotic time series theory and methods to study the law of the price fluctuations of the soybean in China, in theory it can explore new ways for fluctuation research in soybean prices and in practice it can provide a scientific basis for the planning of soybean production.

Keywords

agricultural products; chaos; pricing; production planning; time series; China; chaotic time sequence; chaotic time series theory; circulation system; domestic stock; futures markets; household consumption; international stock; nonlinear dynamic system characteristics; price fluctuations; price forecasts; soybean prices; soybean production planning; supply and demand; Chaos; Computational modeling; Delay effects; Economic forecasting; Fluctuations; Mathematical model; Mutual information; Nonlinear dynamical systems; Predictive models; Principal component analysis; chaotic identification; chaotic prediction; chaotic time series; soybean price fluctuations;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Modeling and Simulation, 2010. ICCMS '10. Second International Conference on

Conference_Location

Sanya, Hainan

Print_ISBN

978-1-4244-5642-0

Electronic_ISBN

978-1-4244-5643-7

Type

conf

DOI

10.1109/ICCMS.2010.266

Filename

5421305