Forecasting of the state of the credit market in Ukraine

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...

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Main Authors: Galyna Myskiv, Tetyana Andreykiv, Viktoriya Rudevska
Format: Article
Language:English
Published: LLC "CPC "Business Perspectives" 2016-12-01
Series:Investment Management & Financial Innovations
Online Access:https://businessperspectives.org/images/pdf/applications/publishing/templates/article/assets/8113/imfi_en_2016_04cont_Myskiv.pdf
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spelling doaj-2bcdfd151656467aabb73654576d173d2020-11-25T01:38:08ZengLLC "CPC "Business Perspectives"Investment Management & Financial Innovations 1810-49671812-93582016-12-0113423524110.21511/imfi.13(4-1).2016.108113Forecasting of the state of the credit market in UkraineGalyna Myskiv0Tetyana Andreykiv1Viktoriya Rudevska2Doctor of Economic Sciences, Professor, Head of the Department of Economics and Marketing of the Lviv Institute of Economy and Tourism, UkraineCandidate of Economic Sciences, Associate Professor of the Department of Finance, Credit and Insurance of the Lviv University of Trade and Economics, UkrainePh.D., Associate Professorof the Department of Banking of the State higher educational institution “University of Banking Management”, UkraineThe 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, Е51https://businessperspectives.org/images/pdf/applications/publishing/templates/article/assets/8113/imfi_en_2016_04cont_Myskiv.pdf
collection DOAJ
language English
format Article
sources DOAJ
author Galyna Myskiv
Tetyana Andreykiv
Viktoriya Rudevska
spellingShingle Galyna Myskiv
Tetyana Andreykiv
Viktoriya Rudevska
Forecasting of the state of the credit market in Ukraine
Investment Management & Financial Innovations
author_facet Galyna Myskiv
Tetyana Andreykiv
Viktoriya Rudevska
author_sort Galyna Myskiv
title Forecasting of the state of the credit market in Ukraine
title_short Forecasting of the state of the credit market in Ukraine
title_full Forecasting of the state of the credit market in Ukraine
title_fullStr Forecasting of the state of the credit market in Ukraine
title_full_unstemmed Forecasting of the state of the credit market in Ukraine
title_sort forecasting of the state of the credit market in ukraine
publisher LLC "CPC "Business Perspectives"
series Investment Management & Financial Innovations
issn 1810-4967
1812-9358
publishDate 2016-12-01
description 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 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
url https://businessperspectives.org/images/pdf/applications/publishing/templates/article/assets/8113/imfi_en_2016_04cont_Myskiv.pdf
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