Crude palm oil price forecasting: Box-Jenkins approach


Citation

Fatimah Mohd Arshad, . and Roslan Abdul Ghaffar, . Crude palm oil price forecasting: Box-Jenkins approach. pp. 359-367. ISSN 0126-6128

Abstract

A univariate ARIMA model developed by Box-Jenkins was utilised to forecast the short-run monthly price of crude palm oil. The appropriate model for forecasting was found. This model indicated that the original crude palm oil series was non-stationary and contained some elements of multiplicity hence inheriting moving average process. The identified ARIMA model induced the data series into a stochastic one making it a suitable model for forecasting crude palm oil prices in the short term


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Abstract

A univariate ARIMA model developed by Box-Jenkins was utilised to forecast the short-run monthly price of crude palm oil. The appropriate model for forecasting was found. This model indicated that the original crude palm oil series was non-stationary and contained some elements of multiplicity hence inheriting moving average process. The identified ARIMA model induced the data series into a stochastic one making it a suitable model for forecasting crude palm oil prices in the short term

Additional Metadata

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Item Type: Article
Additional Information: Ill.; 2 tables; 16 ref. Summaries (En Malay)
AGROVOC Term: ACEITES DE PALMAS
AGROVOC Term: PRONOSTICO
AGROVOC Term: PRECIOS
AGROVOC Term: MODELOS/ MERCADEO
Depositing User: Ms. Norfaezah Khomsan
Last Modified: 24 Apr 2025 05:54
URI: http://webagris.upm.edu.my/id/eprint/19076

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