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Copper price: A brief analysis of China’s impact over its short-term forecasting

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  • Becerra, Miguel
  • Jerez, Alejandro
  • Garcés, Hugo O.
  • Demarco, Rodrigo

Abstract

This work addresses the feasibility of modeling the copper price through SARIMA approach. The period under study was 30 years (1991–2020), leaving the last year (2020) as the testing set, and the previous 29 years as the training set.

Suggested Citation

  • Becerra, Miguel & Jerez, Alejandro & Garcés, Hugo O. & Demarco, Rodrigo, 2022. "Copper price: A brief analysis of China’s impact over its short-term forecasting," Resources Policy, Elsevier, vol. 75(C).
    • Handle: RePEc:eee:jrpoli:v:75:y:2022:i:c:s0301420721004566
    DOI: 10.1016/j.resourpol.2021.102449
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    1. Ding, Shusheng & Wang, Kaihao & Cui, Tianxiang & Du, Min, 2023. "The time-varying impact of geopolitical risk on natural resource prices: The post-COVID era evidence," Resources Policy, Elsevier, vol. 86(PB).
    2. Li, Ning & Li, Jiaojiao & Wang, Qizhou & Yan, Dairong & Wang, Liguan & Jia, Mingtao, 2024. "A novel copper price forecasting ensemble method using adversarial interpretive structural model and sparrow search algorithm," Resources Policy, Elsevier, vol. 91(C).
    3. Hu, Qian & Gu, Yongkun, 2024. "Copper economic dynamics: Navigating resource scarcity, price volatility, and green growth," Resources Policy, Elsevier, vol. 89(C).

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