The analysis of the financial technologies introduction has proved that their application over-complicates the institutional structure of the global financial system. As a result, usual functional relationships cease to operate, new institutes and interdependencies appear, and systemic risks increase. In this context, the system instability increases, resulting in a transition to a new institutional status. The analysis of the financial technologies impact on the stability of financial system shows that the lack of institutional support for new financial technologies is the most important catalyst for the financial industry destabilization and the formation of financial bubbles in various market segments.The ways to reduce the negative impact of financial technologies on the financial system stability (such as development of international prudential standards; revision of the licensing regime for financial companies; “regulatory sandboxes”, which test new technologies, business models and algorithms underlying the Fintech innovations; legal regulation of ownership of digital tokens; and clear definition of the blockchain technology in various areas of life, etc.) have been proposed.
The method of evaluation of the level of an enterprise financial security as a priority criterion of its economic activity is proposed in the article. It is established that the calculation of indices for evaluation the financial security of a company is mainly based on the financial statements. According to these financial documents, one or another factor is determined, from the ratio of which the indices of an enterprise financial condition are formed as the information basis for the quantification of the level of its financial security It is proved that in the process of quantitative evaluation of an enterprise financial security level, it is necessary to use the methods of big data analysis. It is proposed to use the Monte Carlo simulation method as the most adaptive to such problems and common among the methods of quantitative estimation of economic processes, the model of which is based on the generation of values consisting of random variables, over which a series of experiments are conducted in order to detect the influence of the initial data on the dependent variables. It is substantiated that the use of the Monte Carlo method allows not only to determine the probability of a future level of an enterprise financial security, but also to obtain the assessment of the deviation risk of certain indices of the financial condition from the established limits of normative values and to identify possible threats to the financial security of an enterprise. It is proved that the analysis of the results of quantitative evaluation of an enterprise financial security level is the basis for making sound management decisions on optimization its financial risks and achievement the financial stability of an enterprise.
To prevent crises in the economy, it is necessary to ensure the financial stability of banks, which is one of the main tasks facing the banking system.The purpose of this article is to develop tools for improving the efficiency of financial stability management in a bank based on strategy maps.Using UkrSibbank (Ukraine) as an example, two strategy maps are developed: a general management map and a local map – for the international payments division of the operational payments department. Structural elements of the designed strategy maps are: finances, clients, internal processes, training and development.Implementing the developed general strategy map in the bank’s practical activities involves the following measures: increasing financial stability; avoiding credit risk and optimizing the credit process; increase in profit; cost reduction; introducing new banking products; increase in the number of satisfied consumers; involvement and retention strategic clients.The developed strategy map for the international payments division of the operational payments department provides for the following measures: ensuring sufficient liquidity level of the bank’s balance sheet; introducing an effective system of analysis of origin of individuals’ and legal entities’ funds; direct correlation between employees of the international payments division and bank customers; timely informing customers regarding requirements updated.
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