Introduction of forecasting methods during the execution of long-term trade operations of the enterprise

Abstract

Since the global recession, interest in new tools for forecasting trade operations, especially based on information regarding global world events, monetary and financial information, continues to grow. With the development of computing tools to store and expand large-scale datasets, analysts are focused on discovering a new, timely and reliable way to retrieve information by linear and non-linear methods to improve predictability in real time and for long-term trading operations. Data on global events in the world and information on payment instruments used in society (check, credit transfer, payment card transaction) can be a unique source of information for long-term forecasts of the economic activity of the enterprise, since they are easily traced and form a picture of the state of events today, and their impact on the future. In addition, the importance of forecasting trade operations using linear and nonlinear methods can hardly be overestimated for understanding monetary economics in general.