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Forecasting the development of leasing market (on the example of Ukraine)


Daria Hontar
Lecturer at Department of Banking, Simon Kuznets Kharkiv National University of Economics, Kharkiv, Ukraine
,
Nataliya Opeshko
Lecturer at Department of Banking, Simon Kuznets Kharkiv National University of Economics, Kharkiv, Ukraine
,
Svitlana Kolodizieva
Lecturer at Department of Banking, Kyiv National University of Trade and Economics, Kyiv, Ukraine
. (23 DEC 2016).


doi: http://dx.doi.org/10.21511/ppm.14(4-1).2016.16

Abstract
The purpose of the study consists in the investigation of the leasing market and determining the prospects of its development in Ukraine, which will make possible for lessors to justify the choice of their strategies. There were forecasted values of the analyzed indicators of leasing market for the following three periods: the third quarter of 2016, fourth quarter of 2016, first quarter of 2017. It was proposed to calculate the integral development index of leasing services in Ukraine based on the amount of leasing companies in Ukraine, the amount of financial leasing contracts, the share of long-term lease agreements, the value of financial leasing contracts, the proportion of borrowed funds in the structure of leasing transactions financing, the share reward the lessor for the leased property in the structure of the lease payments, in the amount of leasing companies in Ukraine, the amount of financial leasing contracts, the share of long-term lease agreements, the value of financial leasing contracts, the proportion of borrowed funds in the structure of leasing transactions financing, the share reward the lessor for the leased property in the structure of the lease payments. The authors defined the growth of Ukrainian leasing market in the first quarter of 2017. The proposed integral development index is applicable both on regional and international level. The results of study can be used for substantiation of the choice of lessors strategies by developing alternative strategic decisions, the optimal use of which should lead to a further growth of the leasing market.

Keywords: leasing, leasing companies, methods of multivariate statistical analysis, forecasting, market of leasing services.
JEL Classification: C53, G17, G21.