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Finance and Credit
 

Econometric modeling of financial system indicators as a tool of macroeconomic planning

Vol. 23, Iss. 33, SEPTEMBER 2017

PDF  Article PDF Version

Received: 10 February 2017

Received in revised form: 7 July 2017

Accepted: 28 July 2017

Available online: 19 September 2017

Subject Heading: Financial system

JEL Classification: G17, G18

Pages: 1956–1967

https://doi.org/10.24891/fc.23.33.1956

Zaruk N.F. Russian Timiryazev State Agrarian University, Moscow, Russian Federation
zaruk84@bk.ru

Tikhonova A.V. Financial University under Government of Russian Federation, Moscow, Russian Federation
AVTihonova@fa.ru

Sergeev A.V. Financial University under Government of Russian Federation, Moscow, Russian Federation
artursergeev1994@yandex.ru

Importance World globalization and development of transnational corporations expose national financial systems to risk. The Russian Federation is no exception. Transformation of the economy accelerates significantly in the last decade. It causes financial crises. In this connection the “point’’ plan of the financial system is especially important.
Objectives The purpose of this research is the construction of an econometric model of the financial system specific values. This will help to rationalize the Russian fiscal policy.
Methods In this work, we used the analysis of statistical science and econometrics: correlation analysis, regression analysis, time series analysis.
Results We defined the essence and the indicator concept of the financial system. We also constructed an econometric model, which allows to determine the specific values of indicators of the financial system of Russia's financial policy. We put forward some suggestions for stimulating the growth of the Russian economy.
Conclusions and Relevance The results of the research can be used for financial planning and forecasting. We state that with an increase in lending, the Russian economy will have a real chance of accelerating social and economic development.

Keywords: credit expansion, market assets, indicators, financial system, modeling

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