Time-series analysis and forecasting of zinc prices (1990-2025) using ARIMA models in R. The project includes data preprocessing, stationarity diagnostics (ADF, Box-Cox), autocorrelation analysis, model selection using AIC/BIC, and out-of-sample forecast evaluation with comparison to Holt exponential smoothing benchmarks.