Title :
The Study on Soybean Price Fluctuations Based on Chaos Theory
Author :
Jun, Meng ; Chao, Sun
Author_Institution :
Appl. Math., Northeast Agric. Univ., Harbin, China
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;
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
DOI :
10.1109/ICCMS.2010.266
