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The purpose of the study is to develop a methodology for assessing the level of transparency of banks through the analysis of their web resources, the application of which allows us to conclude the openness of banks, their readiness to interact with their customers, partners, regulatory bodies, the public, and other stakeholders. Based on bibliometric analysis and analysis of banks' websites, those indicators most often found on websites were singled out so they can be compared in a comparative analysis. These comparative indicators were grouped into five groups: 1) \"Active transparency and information about the bank\"; 2) \"Information about relations with the public, users or interested parties, including mechanisms of interaction and cooperation with them\"; 3) \"Economic and financial transparency\"; 4) \"Right to access to information\"; 5) \"Prevention of corruption and compliance with the requirements of transparency and good management.\" The work used the point evaluation method of indicators, based on which a methodology was developed for evaluating the level of transparency of bank websites, which includes 45 criteria for the level of transparency of their websites. The test results showed that the method can be successfully used to assess the transparency level of their web resources. This methodology for evaluating the level of transparency of bank websites will be a useful tool for both internal and external stakeholders. For banks, it can become an additional motivational tool for improving the quality and availability of information on their web resources, and for consumers (clients, counterparties, investors, regulatory bodies, auditors, etc.) - a source of convenient and understandable information about the activities of banks and their products. In general, the conducted research helps to ensure greater transparency and trust between banks and their stakeholders, which, in turn, will contribute to the development of the modern economy.

The effective functioning of the financial and credit mechanism for the activation of leasing activity in Ukraine is important for increasing the number and quality of leasing operations, as well as improving leasing activity in general. In this context, the methods of assessing the financial stability of the Fund for Financing Leasing Operations become particularly relevant and important as an important element of the system of functioning of such a mechanism, which at the same time is a set of multiple sources of financing of the leasing portfolio of the lessor or financial company engaged in the provision of financial leasing. This article is devoted to this issue, in which, with the help of economic and mathematical modelling, an assessment of the probability of default of the Fund for Financing Leasing Operations was carried out due to the growth of the ratio of financial leverage and taking into account the action of a number of economic and financial factors, and it was determined that the most stable form of financing leasing operations is loan capital. It is proposed to estimate the probability of the event of default of the Fund for financing leasing using the method of building Bayesian logistic models with a normal type of conditional probability distribution. The study found that the expected macroeconomic situation and low inflation environment are necessary factors for the sustainability of the Fund for Financing Leasing Operations. It was emphasized that a significant role is played by state support in the financing of leasing projects and reasonable opposition to competition from competitive technologies of the Fintech sector. The obtained results can be used for evaluating the efficiency of lessors' portfolios and making decisions regarding the selection of optimal sources of financing for leasing operations.

A method of identifying banks’ business models and studying the features of their risk profile, considering the system of indicators featuring the structure of assets, liabilities, income, expenses, and other qualitative indicators based on monthly statistical reporting. Kohonen's self-organizing maps (SOM) are used to process large data sets, revealing objects’ hidden features by forming homogeneous groups according to similar values of a large system of indicators. The choice of the system of indicators that play the most significant role in describing the business models of modern banks is substantiated. The proposed method makes it possible to group banks with homogeneous characteristics into so-called structural-functional groups and studies the change in the characteristics of groups of banks over time to compare their behavior during periods of active development of the system and during a crisis. That approach is useful for studying the banking system at the macro level, as it provides a quantitative measure of its financial stability. The more banks are in groups with negative values of parameters, increased risks, and unprofitable performance, the worse the general state of the system. The method also allows studying the features of each structural and functional group and the business models’ features at the meso-level. The number and composition of banks inherent in any group change dynamically, which characterizes the features of the relevant business model in a particular period. The averages of each group reflect the objective changes in the banking system structure. In addition, the SOM trajectory can be built for each individual bank determining the development of its strategy, features of a particular business model, and risk profile. At the micro-level, it allows comparing the features of individual banks within the SFGB and models ways to improve efficiency and financial stability by forecast values for SOM. An extensive system of indicators used to form structural and functional groups of banks allows to quickly respond to changes in the banking system, identify areas of increased risk and explore the adequacy and effectiveness of banks’ business models.

Ефективне функціонування фінансово-кредитного механізму активізації лізингової діяльності в Україні має важливе значення для збільшення кількості та підвищення якості лізингових операцій, а також покращення лізингової діяльності загалом.У цьому контексті особливої актуальності та значення набувають способи оцінювання фінансової стійкості Фонду фінансування лізингових операцій як важливого елемента системи функціонування такого механізму, який водночас є сукупністю множинних джерел фінансування лізингового портфеля лізингодавця чи фінансової компанії, що здійснює діяльність із надання фінансового лізингу. Саме цьому питанню присвячено статтю, у якій за допомогою застосування економіко-математичного моделювання проведено оцінку ймовірності дефолту Фонду фінансування лізингових операцій за зростання співвідношення фінансового левериджу й урахування дії низки економічних і фінансових чинників та визначено, що найбільш стійкою формою фінансування лізингових операцій є позиковий капітал. Оцінку ймовірності реалізації події дефолту Фонду фінансування лізингових операцій запропоновано здійснювати за допомогою методики побудови баєсівських логістичних моделей із нормальним типом розподілу умовних імовірностей.У дослідженні встановлено, що передбачувана макроекономічна ситуація та низькоінфляційне середовище є необхідними факторами стійкості Фонду фінансування лізингових операцій. Наголошено, що вагому роль відіграє державна підтримка фінансування лізингових проєктів і розумне протистояння конкуренції з боку конкурентних технологій Fintech-сектора.Одержані результати можна використовувати при оцінюванні ефективності портфелів лізингодавців та ухваленні рішень щодо вибору оптимальних джерел фінансування лізингових операцій.