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Detecting Chaos from Agricultural Product Price Time Series
2014
Entropy
Analysis of the characteristics of agricultural product price volatility and trend forecasting are necessary to formulate and implement agricultural price control policies. Taking wholesale cabbage prices as an example, a multiple test methodology has been adopted to identify the nonlinearity, fractality, and chaos of the data. The approaches used include the R/S analysis, the BDS test, the power spectra, the recurrence plot, the largest Lyapunov exponent, the Kolmogorov entropy, and the
doi:10.3390/e16126415
fatcat:y2flsyt3nvhsbgsd6hf4tmcmoe