Title :
Identification and Analysis of Fluctuation Law of Grain Prices
Author :
Chao, Sun ; Jun, Meng
Author_Institution :
Sch. of Econ. & Manage., Northeast Agric. Univ., Harbin, China
Abstract :
Grain 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 grain, 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 grain in China, in theory it can explore new ways for fluctuation research in prices of grain price and in practice it can provide a scientific basis for the planning of grain production.
Keywords :
crops; nonlinear systems; pricing; stock markets; supply and demand; time series; China; chaotic time series theory; domestic stock; grain prices; grain production; household consumption; international stock; nonlinear dynamic system; price fluctuation law analysis; price forecasts; supply and demand; Automation; Chaos; Delay effects; Economic forecasting; Fluctuations; Intelligent structures; Mutual information; Nonlinear dynamical systems; Predictive models; Principal component analysis; Chaotic identification; Chaotic time series; Grain price fluctuations;
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on
Conference_Location :
Changsha
Print_ISBN :
978-1-4244-7279-6
Electronic_ISBN :
978-1-4244-7280-2
DOI :
10.1109/ICICTA.2010.779
