Forecasting Crude Oil Price with an Autoregressive Integrated Moving Average (ARIMA) Model

DOI10.1007/978-3-642-38667-1_27zbMath1308.91131OpenAlexW78997746MaRDI QIDQ4982165

Chunlan Zhao, Bing Wang

Publication date: 24 March 2015

Published in: Fuzzy Information & Engineering and Operations Research & Management (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-642-38667-1_27

zbMATH Keywords

ARIMA modelcrude oil price forecastSAS software

Mathematics Subject Classification ID

Economic time series analysis (91B84) Economic models of real-world systems (e.g., electricity markets, etc.) (91B74)

Uses Software

• SAS

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