Nataliya Opeshko

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

The purpose of the study is to develop methodological approach for identifying changes in the level of insurance companies’ competitiveness on the travel services market. Based on development of multifactor regression equation, integrated indicators of insurance companies’ competitiveness in 2016–2019 were calculated. The application of three-sigma rule allowed to divide insurance companies by competitiveness levels and to identify that during 2016–2019 most of insurers had sufficient and critical levels of competitiveness and the group of insurance companies with a high level of competitive position is small. The Markov chain theory was used as a research method to determine the probability of insurance companies moving to higher or lower competitiveness levels. The results of Markov’s method showed that the majority of insurance companies are most likely to remain in their initial groups and only insurers with low and sufficient competitiveness have high probability to change their positions. Companies with high competitiveness have very strong positions on the market and there is very low probability that other insurers will capture leaders’ market share in the coming years. So, the use of the developed approach allows predicting a decrease of insurance ability to compete on the travel services market and deciding on the necessity to change the competitive strategy.