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Finance and Credit
Article . 2022 . Peer-reviewed
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Risk assessment of banking groups financing leasing companies

Authors: Igor' V. VERZHBITSKII;

Risk assessment of banking groups financing leasing companies

Abstract

Subject. The article investigates the existing approaches to assessment of risk of banking groups, arising from the financing of leasing companies by banking groups being the largest players in the financial lease market. Objectives. The purpose is to develop an original methodology for assessing the risks of banking groups in the financial lease market, arising from the provision of financing to lessors. Methods. I employ methods of systems analysis, comparative analysis, ratio analysis, synthesis, induction and deduction, methods of grouping, classification, and statistical methods. Results. I developed an original approach and methodology to assess the risks of banking groups that finance leasing companies. Conclusions. The existing methods for assessing the creditworthiness of leasing companies do not fully assess risks inherent in financing of lessors. The presented methodology rests on current standard ratios and enables to solve the problem of quantitative risk assessment in financing to leasing companies.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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Average
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