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

Authors
Anna Shokhnekh, Nikolai Lomakin, Alexandra Glushchenko, Oksana Kovalenko, Ekaterina Kosobokova, Sergey Sazonov
Corresponding Author
Anna Shokhnekh
Available Online August 2019.
DOI
https://doi.org/10.2991/ispcbc-19.2019.138How to use a DOI?
Keywords
financial risk, artificial intelligence, Kohonen map, VIX-index, Big Data, real option
Abstract

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.

Copyright
© 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/).

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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  -