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Forecasting of the state of the credit market in Ukraine


Galyna Myskiv
Doctor of Economic Sciences, Professor, Head of the Department of Economics and Marketing of the Lviv Institute of Economy and Tourism, Ukraine
,
Tetyana Andreykiv
Candidate of Economic Sciences, Associate Professor of the Department of Finance, Credit and Insurance of the Lviv University of Trade and Economics, Ukraine
,
Viktoriya Rudevska
Ph.D., Associate Professorof the Department of Banking of the State higher educational institution University of Banking Management, Ukraine
. (2016).


doi: http://dx.doi.org/10.21511/imfi.13(4-1).2016.10

Abstract
The article highlights the forecasting of development of the credit market in Ukraine on the basis of regression analysis and based on a number of macroeconomic factors. It provides a matrix of coefficients for pair correlations for the calculation of the volume of loans given by banks and non-bank financial institutions, foreign economic agents and inter-economic actors. It gives partial regression models for determining the volume of loans according to the markets segments. It carries out the forecasting of the credit market and the volumes of loans given by its segments.

Keywords: credit market of Ukraine, forecasting, regression analysis, pair correlation.
JEL Classification: G21, G23, 51.