Forecasting Nickel Prices in Indonesia Using ARIMA, SVR, and Hybrid ARIMA-SVR Approach

Nickel production plays a key role in reducing reliance on fossil fuels, supporting the 7th Sustainable Development Goals (SDGs) on clean and affordable energy. As the world's largest nickel ore producer, Indonesia significantly influences global market dynamics. This study evaluates the accuracy of ARIMA, SVR, and hybrid ARIMA-SVR models in forecasting Indonesia’s daily nickel futures prices for 2023 using historical data from official website investing.com. The results indicate that SVR outperforms the other models, achieving the lowest MAPE of 0.2532% with the Radial Basis Function (RBF) kernel and optimized parameters , and selected through grid search method which gives the minimum RMSE and MAE values as well. Accurate nickel price forecasting is essential for investors, mining companies, and policymakers to optimize production planning, manage risks, and enhance market stability. However, this study relies solely on historical price data, without considering external factors such as geopolitical events and market shocks, highlighting the need for future research incorporating broader economic indicators and alternative modeling approaches

Authors

Institutions

Publication Details

Journal
Jurnal Matematika Statistika dan Komputasi
Published
2025-05-14
DOI
https://doi.org/10.20956/j.v21i3.42558
Primary Topic
Grey System Theory Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Forecasting Nickel Prices in Indonesia Using ARIMA, SVR, and Hybrid ARIMA-SVR Approach

Elly Pusporani, Adelia Sukma Dwiyanto, Arinda Mahadesyawardani, Nashwa Carista
Jurnal Matematika Statistika dan Komputasi
Grey System Theory Applications
article

Forecasting Nickel Prices in Indonesia Using ARIMA, SVR, and Hybrid ARIMA-SVR Approach

Elly Pusporani, Adelia Sukma Dwiyanto, Arinda Mahadesyawardani, Nashwa Carista
article en

Abstract

Nickel production plays a key role in reducing reliance on fossil fuels, supporting the 7th Sustainable Development Goals (SDGs) on clean and affordable energy. As the world's largest nickel ore producer, Indonesia significantly influences global market dynamics. This study evaluates the accuracy of ARIMA, SVR, and hybrid ARIMA-SVR models in forecasting Indonesia’s daily nickel futures prices for 2023 using historical data from official website investing.com. The results indicate that SVR outperforms the other models, achieving the lowest MAPE of 0.2532% with the Radial Basis Function (RBF) kernel and optimized parameters , and selected through grid search method which gives the minimum RMSE and MAE values as well. Accurate nickel price forecasting is essential for investors, mining companies, and policymakers to optimize production planning, manage risks, and enhance market stability. However, this study relies solely on historical price data, without considering external factors such as geopolitical events and market shocks, highlighting the need for future research incorporating broader economic indicators and alternative modeling approaches

Jurnal Matematika Statistika dan KomputasiVol. 21(3)
Universitas Airlangga (ID)
Openalex Percentile: Top 87%
Grey System Theory Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.