Digital neural network for managing financial risk in business due to real options in the financial and economic system
- https://doi.org/10.2991/ispcbc-19.2019.138How to use a DOI?
- financial risk, artificial intelligence, Kohonen map, VIX-index, Big Data, real option
Based on the neural network, a profit forecast for a socio-economic system has been made. The scientific study required monographic, design-calculation 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.
- © 2019, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Anna Shokhnekh AU - Nikolai Lomakin AU - Alexandra Glushchenko AU - Oksana Kovalenko AU - Ekaterina Kosobokova AU - Sergey Sazonov PY - 2019/08 DA - 2019/08 TI - Digital neural network for managing financial risk in business due to real options in the financial and economic system BT - Proceedings of the International Scientific-Practical Conference “Business Cooperation as a Resource of Sustainable Economic Development and Investment Attraction” (ISPCBC 2019) PB - Atlantis Press SP - 71 EP - 75 SN - 2352-5428 UR - https://doi.org/10.2991/ispcbc-19.2019.138 DO - https://doi.org/10.2991/ispcbc-19.2019.138 ID - Shokhnekh2019/08 ER -