Metal price forecasting is a complex process that involves analysing market trends, historical data, and external factors. Several forecasting techniques, including fundamentals, help predict price movements [1].
Forecasting methods used to predict future metal prices include a combination of statistical, econometric, fundamental analysis, and machine learning approaches.
Statistical models
These rely on mathematical methods to identify trends and patterns in historical metal price data. Typical techniques include regression analysis, time series analysis, and ARIMA models. ARIMA has been found to provide relatively better forecast results for metals like lead and zinc by modelling past price behaviours to project future prices.
Econometric models
These include broader economic factors such as inflation, interest rates, GDP growth, and supply-demand fundamentals in their forecasting. By statistically correlating these variables with metal prices, econometric models aim to capture the economic drivers behind price fluctuations.
Fundamental analysis
This approach analyzes underlying variables affecting metal prices such as production costs, supply chain dynamics, global economic trends, and manufacturing demand. It provides insights into market drivers beyond just price history.
Machine learning and hybrid models
More advanced methods utilize algorithms like Artificial Neural Networks (ANN), Long Short-Term Memory Networks (LSTM), and metaheuristics (e.g., Teaching-Learning-Based Optimization, TLBO) to optimize forecasting accuracy. These models can incorporate multiple input variables (including economic indicators) and have shown promising returns and accuracy for metals like copper, aluminum, nickel, zinc, silver, and gold.
Forecasting challenges and behavioural factors
There is also research on forecasting bias behavior, like forecaster “herding” or “anti-herding,” which affects forecast accuracy and market volatility. This behavioural insight provides important context for interpreting metal price forecasts.
Reference
[1] A. Admin, “Metal Price Forecasting: Strategies for Businesses in Steel, Aluminum & galvanised,” CostMasters. Accessed: Sept. 18, 2025. [Online]. Available: https://www.costmasters.in/blog/the-significance-of-metal-price-forecasting-for-businesses/
