Academic Journal
MULTI-COUNTRY INTEGRATED MODEL OF INVESTMENT RESOURCES FLOW
| Title: | MULTI-COUNTRY INTEGRATED MODEL OF INVESTMENT RESOURCES FLOW |
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| Authors: | Ivanov, V.V., Sarkisyants, Y.K. |
| Source: | Practice Oriented Science: UAE – RUSSIA – INDIA. |
| Publisher Information: | Crossref, 2024. |
| Publication Year: | 2024 |
| Subject Terms: | macro forecasting, movement of investment resources, 9. Industry and infrastructure, movement of capital, economic and mathematical modeling, digital platform in the macroeconomic environment |
| Description: | This article reveals international economic aspects and trends, as well as their impact on the cross-border movement of capital and international investment resources. The article discusses the formation of a data-driven approach to the study of investment and economic data, the choice of complex mathematical methods of analysis for the study of trends in the world economy. The authors propose an economic and analytical integration model, which uses a two-level approach to the study of economic investment processes based on the developed mechanism for combining models that combine the “bottom-up” and “top-down” approaches. With the help of mathematical methods, the architecture of the platform has been formed, which allows forecasting macroeconomic indicators with the possibility of analyzing competitive factors of investment attractiveness of countries, trade policy and parameters of global capital movement. The proposed integration economic model can have practical application within the framework of the analytical tasks being formed. The characteristics of the model, flexibility and speed of adaptation to variable environmental parameters meet modern trends in the development of the world economy and solve the most pressing problems of players in the international market. |
| Document Type: | Article Conference object |
| Language: | English |
| DOI: | 10.34660/inf.2023.23.40.221 |
| Accession Number: | edsair.doi...........47fb35a8c8ae3921f82f82f12ee5accf |
| Database: | OpenAIRE |
| DOI: | 10.34660/inf.2023.23.40.221 |
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