Analysis of the impact of economic and technological indicators on the transformation of the financial development of countries

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Research in the field of financial development is an integral part of macroeconomic analysis and strategic planning at the national level. They allow the state and business to make informed decisions aimed at developing the financial system, maintaining high rates of economic growth or increasing them, etc. The aim of the study is to improve the quality and efficiency of the assessment of the financial system based on the analysis of the impact of economic and technological indicators on the pace of financial development. To achieve this goal , the following tasks were set and solved in the work: 1) the analysis of the main concepts, tools and algorithms for assessing the pace of financial development was carried out; 2) variables characterizing one of the sectors of the financial system, variables of interest were determined; 3) statistical interpretation of the processed data was carried out, 4) panel data models were constructed. Materials and Methods. The modeling used system and statistical analysis, econometric modeling of panel data. Conclusions: a conceptual approach has been developed to typologize the financial development of countries, which will allow government agencies to carry out more accurate macroeconomic forecasting and apply a strategic approach to planning economic development. The modeling of the influence of macroeconomic indicators, dummy variables of economic crises, variable technological components on indicators of financial development and variables characterizing the structure of the financial system is carried out.

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作者简介

Konstantin Krinichansky

Financial University under the Government of the Russian Federation

编辑信件的主要联系方式.
Email: kkrin@fa.ru
ORCID iD: 0000-0002-1225-7263

Dr. Sci. (Econ.), Professor of the Department of Financial Markets and Financial Engineering, Chief Researcher at the Institute of Financial Research of the Faculty of Finance

俄罗斯联邦, Moscow

Natalia Grineva

Financial University under the Government of the Russian Federation

Email: ngrineva@fa.ru
ORCID iD: 0000-0001-7647-5967

Cand. Sci. (Econ.), Associate Professor, Associate Professor of the Department of Data Analysis and Machine Learning

俄罗斯联邦, Moscow

参考

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1. JATS XML
2. Fig. 1. Map of countries by GDP growth.

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3. Fig. 2. Correlation matrix of explicable and explanatory variables.

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4. Fig. 3. Actual (blue) and model (orange) values of the variable ratio of Private credit by deposit money banks to GDP (%).

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5. Fig. 4. Actual (blue) and model (orange) values of the Credit Institutions Development Index variable.

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