BUSINESS INFORM №6-2015

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Section: Finance, Money Circulation and Credit
UDC 338.27:[336.74+336.77]
Kremen V. M., Ogol D. O.
Improving the Methodical Bases for Prognosticating the Money-and-Credit Indicators (p. 204 - 209)
The article is aimed to develop a scientific-practical improvement of methodical bases for prognosticating the money-and-credit indicators, based on the method of statistical equations of dependencies. It has been proved that prognosticating of the money-and-credit indicators such as money supply, monetary base and level of monetization should be scientifically substantiated and resulted from the planned economic dynamics. In this publication, the unifactor statistical equations of dependencies between GDP (as effective sign) and the amount of the money supply, monetary base volume and level of monetization (as factor signs), have been built. Study of the basic documents for the strategic development of Ukraine together with expert vision of economic development allowed to identify the Ukraine's GDP targets for the short, medium and long perspectives. Based on these values, making use of scientific tools of statistical equations of dependencies, prognostic indicators of the money supply, monetary base and level of monetization have been calculated. Prospect of further research, in the context of completion of the transition of money-and-credit policy in Ukraine into the regime of inflation targeting, is to determine the effect of money supply, monetary base and level of monetization on the inflationary targets, in particular the consumer price index and the GDP deflator.
Keywords: money supply, monetary base, level of monetization, GDP, prognosticating, method of statistical equations
Tabl.: 2. Formulae: 5. Bibl.: 23.

Kremen Viktoriia M. – Candidate of Sciences (Economics), Professor, Department of Finance and Financial and Economic Security, Kyiv National University of Technologies and Design (2 Nemyrovycha-Danchenka Str., Kyiv, 01011, Ukraine)
Email: [email protected]
Ogol Dmytro O. – Postgraduate Student, Department of Finance, Ukrainian Academy of Banking (57 Petropavlіvska Str., Sumy, 40030, Ukraine)
Email: [email protected]

Article is written in Ukrainan
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Reference to this article:
Kremen, Viktoriia M., and Ogol, Dmytro O. (2015) “Improving the Methodical Bases for Prognosticating the Money-and-Credit Indicators.” Business Inform 6:204–209.

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