Title :
The Study on Chaotic Identify of Price Index Time Series of Agricultural Products
Author :
Chao, Sun ; Jun, Meng
Author_Institution :
Sch. of Econ. & Manage., Northeast Agric. Univ., Harbin, China
Abstract :
Prices of agricultural products 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 agricultural products, 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 agricultural products in China, in theory it can explore new ways for fluctuation research in prices of agricultural products and in practice it can provide a scientific basis for the planning of agricultural production.
Keywords :
agricultural products; chaos; production planning; supply and demand; time series; agricultural production planning; agricultural products; chaotic identify; domestic stock; household consumption; international stock; nonlinear dynamic system; price index time series; supply and demand; Agricultural products; Automation; Chaos; Delay effects; Economic forecasting; Fluctuations; Mutual information; Nonlinear dynamical systems; Predictive models; Principal component analysis; agricultural price fluctuations; chaotic identification; chaotic time series;
Conference_Titel :
Intelligent Computation Technology and Automation, 2009. ICICTA '09. Second International Conference on
Conference_Location :
Changsha, Hunan
Print_ISBN :
978-0-7695-3804-4
DOI :
10.1109/ICICTA.2009.798
