Application of Data Mining to Exchange Rate Influence Identification

The growth of data sets requires new approaches to analyzing and processing them. Effective use of Data Mining is the basis for managerial decision making in various fields. Data Mining using potential in the economic sphere has been investigated to identify the impact of the exchange rate on economic development indicators, as well as to generate an array of forecast data and to work with them. The main focus of the research is on analyzing the impact of the National Bank of Ukraine (NBU) international reserves management on macroeconomic indicators using Data Mining. The links between the exchange rate and the international reserves, inflation, the PFTS index were analyzed, as well as the change in the GDP and current account balance of Ukraine in the key periods of the research. The regression method was used to establish appropriate links between the indicators. The results of the study will allow improving the monetary policy of the NBU in terms of achieving strategic goals, in particular economic growth.