Nowcasting Commodity Markets Using Real Time Data Stream

Research purpose. Because of the complexity of financial instruments and difficult economic situation today instead of forecasting it is useful to have real-time and reliable data, that might identify current stage in commodity market with holistic approach.Methodology.Different nowcasting models using heterogeneous set of predictors, including different statistics, as also surveys.Main results. The results of the research provide readers with understanding of nowcasting approach regarding regional heterogeneity in commodity market.