Tetyana Andreykiv
Affiliation: Candidate of Economic Sciences, Associate Professor of the Department of Finance, Credit and Insurance of the Lviv University of Trade and Economics, Ukraine
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Forecasting of the state of the credit market in Ukraine
Galyna Myskiv , Tetyana Andreykiv , Viktoriya Rudevska doi: http://dx.doi.org/10.21511/imfi.13(4-1).2016.10Investment Management and Financial Innovations Volume 13, 2016 Issue #4 (cont.) pp. 235-241
Views: 1127 Downloads: 182 TO CITEThe 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 market’s 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, Е51