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Macro and micro factors on global copper pricing: a historical data analysis

Author

Listed:
  • Ernanto

    (School of Business and Management - Institut Teknologi)

  • Sudarso Kaderi Wiryono

    (School of Business and Management - Institut Teknologi)

  • Taufik Faturohman

    (School of Business and Management - Institut Teknologi)

Abstract

This paper examines the key determinants of copper prices, focusing on economic drivers, market-specific dynamics, and volatility. It aims to enhance understanding of copper price influences to aid macroeconomic forecasting and policy-making in copper-dependent economies. Using VECM to identify short- and long-term dynamics and EGARCH to analyze volatility patterns, the study also employs Monte Carlo simulation to predict future outcomes and assess risks. Data from 1992 to 2023 from global markets and macroeconomic sources illustrate copper pricing mechanisms. Copper prices are influenced significantly by past values, economic indicators like hedging prices, and inventory levels. The EGARCH model shows strong persistence in volatility with minimal asymmetry between market news. Monte Carlo simulation highlights potential future price fluctuations and their impacts. This study offers new insights into the unique volatility and price determination in the copper market, contrasting with financial assets. The Monte Carlo analysis adds robustness, aiding stakeholders in making informed decisions amid price unpredictability.

Suggested Citation

  • Ernanto & Sudarso Kaderi Wiryono & Taufik Faturohman, 2025. "Macro and micro factors on global copper pricing: a historical data analysis," Mineral Economics, Springer;Raw Materials Group (RMG);Luleå University of Technology, vol. 38(4), pages 845-867, December.
    • Handle: RePEc:spr:minecn:v:38:y:2025:i:4:d:10.1007_s13563-025-00505-x
    DOI: 10.1007/s13563-025-00505-x
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    References listed on IDEAS

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    Keywords

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    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
    • G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing
    • Q02 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General - - - Commodity Market
    • Q31 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation - - - Demand and Supply; Prices

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