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The purpose of the study was to suggest and prove the hypothesis that a neural network, taking into account the dynamics of financial risk and VIX index, makes it possible to develop a profit forecast for organizations of the financial and economic system. For the purpose, the following tasks have been set and solved. On the basis of the OWL technology, the ontology of the financial risk concept in the financial and economic system has been created in the program Untitled-ontology-3. The essence of the “real options” concept, their types and cost estimation procedure using the Black-Scholes and CoxRoss-Rubinstein models has been investigated. The theoretical foundations of risk management in the operation of the financial and economic system in terms of digitalization have been investigated. The main trends in the development of technologies of a new technological mode (NTM) have been revealed. The theoretical bases of artificial intelligence systems used in organizations of the real sector of the economy and other spheres have been investigated. Based on the Deductor platform, there has been created a neural network, Kohonen Map that takes into account the dynamics of financial risk and VIX option and allows developing a profit forecast for organizations of the financial and economic system. Based on the neural network, a profit forecast for a socioeconomic system has been made. The scientific study required monographic, designcalculation and artificial intelligence methods applied. The main factors that determine the level of financial risk in releasing innovative products in the context of market uncertainty have been identified. The main conclusions that reflect the study results have been formulated and consist in the fact that in modern conditions of market uncertainty and risk, it is important to study the problems associated with the further development of entrepreneurship and innovation not only in the financial sector, but also in the real economy. Keywordsfinancial risk, artificial intelligence, Kohonen map, VIX-index, Big Data, real option

proceedings of the international scientific-practical conference “business cooperation as a resource of sustainable economic development and investment attraction” (ispcbc 2019)

Digital neural network for managing financial risk in business due to real options in the financial and economic system