Crude oil price series are nonlinear and highly volatile, making it difficult to obtain satisfactory performance for traditional statistical-based forecasting methods. To improve prediction accuracy, this study proposes a novel learning paradigm by integrating the trajectory similarity method...

Big data technology has revolutionized the research paradigm of economic forecasting regardless of the data source, forecasting method, or forecasting result. This study evaluates the current literature on economic forecasting using big data and employs bibliometric approaches to offer a...