Authors:
Maksim Tatarintsev
;
Petr Nikitin
and
Sergey Korchagin
Affiliation:
Department of Data Analysis and Machine Learning, Financial University under the Government of the Russian Federation, Shcherbakovskaya, 38, Moscow, Russian Federation
Keyword(s):
Analysis of Macroeconomic Indicators, Dynamics of Freight Traffic, Freight Turnover Assessment, Forecasting, Import, Export, GDP, GNI, Graph, Correlation Matrix, Correlation-regression Analysis.
Abstract:
The purpose of this research is to consider various macroeconomic indicators of world regions(North America, South America, Europe, Mediterranean, Persian Gulf, CIS, South Africa, Central America, West Africa, East Africa, East Asia, South Asia, Southeast Asia, Oceania, Australia) and federal districts in the Russian Federation (Central, North-western, Southern, North Caucasian, Volga, Ural, Siberian, Far Eastern), visualize the received data, determine their impact on the volume of freight traffic between the designated zones, identify patterns with the help of which we could carry out various kinds of forecasting. Further, it is necessary to carry out direct forecasting for several products of the selected industry, applying the necessary math model.