ARIMA Modeling for Monthly West Texas Intermediate Crude Oil Price Forecasting

Crude oil is a non-renewable natural resource. It is one of the world's most important natural resources since it has many utilities. One of the best parameters for crude oil price is West Texas Intermediate (WTI). It is the main oil benchmark for North America sourced from the United States. It is important to predict WTI price since the price of crude oil will impact the price of other commodities, which also will impact human life. In this work, the Autoregressive Integrated Moving Average (ARIMA) approach is used to predict WTI price for the next 12 months with the monthly data from April 1, 2019, to April 1, 2023, which was collected from investing.com. The results ARIMA (1,2,1) with the best model for forecasting WTI price with accuracy value from error measurements MSE is 38,129117536, MAPE is 6,8128441%, and RMSE is 6,174882619. This forecasting will be useful as a consideration for various stakeholders and the government.

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Publication Details

Journal
Indonesian Journal of Applied Mathematics and Statistics
Published
2024-08-29
DOI
https://doi.org/10.71385/idjams.v1i1.6
Citations
2
Primary Topic
Market Dynamics and Volatility
Type
article
Field-Weighted Citation Impact
2.26
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article

ARIMA Modeling for Monthly West Texas Intermediate Crude Oil Price Forecasting

Hidayat Agus Sofian Eka, Jason Marvel Wiharja
2 citations
Indonesian Journal of Applied Mathematics and Statistics
Market Dynamics and Volatility
2.26
article

ARIMA Modeling for Monthly West Texas Intermediate Crude Oil Price Forecasting

Hidayat Agus Sofian Eka, Jason Marvel Wiharja
article en
2 citations

Abstract

Crude oil is a non-renewable natural resource. It is one of the world's most important natural resources since it has many utilities. One of the best parameters for crude oil price is West Texas Intermediate (WTI). It is the main oil benchmark for North America sourced from the United States. It is important to predict WTI price since the price of crude oil will impact the price of other commodities, which also will impact human life. In this work, the Autoregressive Integrated Moving Average (ARIMA) approach is used to predict WTI price for the next 12 months with the monthly data from April 1, 2019, to April 1, 2023, which was collected from investing.com. The results ARIMA (1,2,1) with the best model for forecasting WTI price with accuracy value from error measurements MSE is 38,129117536, MAPE is 6,8128441%, and RMSE is 6,174882619. This forecasting will be useful as a consideration for various stakeholders and the government.

Indonesian Journal of Applied Mathematics and StatisticsVol. 1(1)
President University (ID)
Openalex Percentile: Top 7%
Market Dynamics and Volatility
2.26
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ARIMA Modeling for Monthly West Texas Intermediate Crude Oil Price Forecasting — Hidayat Agus Sofian Eka, Jason Marvel Wiharja · Indonesian Journal of Applied Mathematics and Statistics (2024) | TGRS Research Map | TGRS