The article analyzes different types of commodities like food, energy, metals, and bullion to predict their prices using a time series model. The researchers found that most commodity prices were stable after the 2nd lag, and they used a specific forecasting technique to predict future prices. They also discovered that most commodities had a positive correlation, except for bullion and agriculture, which had a negative correlation.