Forecasting Mineral Commodity Prices with Multidimensional Grey Metabolism Markov Chain

Autor:	Yong Li, Nailian Hu, Daogui Chen
Rok vydání:	2012
Předmět:	Markov chain Stochastic process Computer science Econometrics Probabilistic forecasting Stride length MATLAB Commodity (Marxism) computer Physics::Atmospheric and Oceanic Physics computer.programming_language Term (time)
Zdroj:	Lecture Notes in Computer Science ISBN: 9783642309755 ICSI (1)
Popis:	The price with large random fluctuation in mineral market has made it very difficult to do an accurate forecast. To overcome this problem, a multidimensional grey metabolism Markov forecasting method is proposed based on the theories of Grey forecast and Stochastic process. The forecasting effect of the model is tested through a case study and analysis with MATLAB software. The research results indicate that the forecasting precision of the proposed method is high and not limited to forecasting step length. So the method can be used to do a long term forecasting for mineral commodity prices without considering economic crisis.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::d174a1beff0dc418eed0c398138d36af https://doi.org/10.1007/978-3-642-30976-2_37 Zobrazit plný text záznamu