Abstract

The assessment of the financial condition in the leasing segment is based on leasing legislation, practice and a system of automated processes that implement differentiated approaches to managing financial condition, risks, and the level of financial stability, taking into account the parameters of transactions and counterparties. In the last decade, we can state an increasing trend towards the development of technology in the processes of assessing the financial condition of leasing companies with the help of best practices in the use of mathematical apparatus and big data. In order to supplement the scoring models and analytical expert sections of leasing companies with data, projects have begun to operate to introduce additional information sources into the analysis of the financial condition of the main operations of leasing companies in Russia. The assessment of risks and their impact on the work of leasing companies, the expansion of their presence in the market, or the curtailment of activities, are the most important and relevant component in the analysis of the financial condition of leasing companies and always aimed at improving financial and economic indicators for the further development of economic entities in the field of leasing.

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