Paper
27 April 2023 Development of an automated system for searching for profitable investment decision in the argo-industrial complex
Andrey Tuskov, Ivan Efimov, Petr Efimov, Botagoz S. Saparova, Altynai A. Saparova, Ekaterina Grosheva
Author Affiliations +
Proceedings Volume 12637, International Conference on Digital Transformation: Informatics, Economics, and Education (DTIEE2023); 126370Y (2023) https://doi.org/10.1117/12.2681241
Event: International Conference on Digital Transformation: Informatics, Economics, and Education (DTIEE2023), 2023, Fergana, Uzbekistan
Abstract
This article has a practical orientation and is devoted to the development of an automated system that searches for profitable investments. It includes blocks that carry out fundamental analysis, rating assessment of the proposed object for investment, a module for analyzing and forecasting profitability, a module that allows you to assess the possible negative consequences of the total investment portfolio using models of the conditional value of risk and audit risk. The implementation of the methodology included in the developed software was carried out on the example of the agro-industrial complex of the Russian Federation.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Andrey Tuskov, Ivan Efimov, Petr Efimov, Botagoz S. Saparova, Altynai A. Saparova, and Ekaterina Grosheva "Development of an automated system for searching for profitable investment decision in the argo-industrial complex", Proc. SPIE 12637, International Conference on Digital Transformation: Informatics, Economics, and Education (DTIEE2023), 126370Y (27 April 2023); https://doi.org/10.1117/12.2681241
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KEYWORDS
Information security

Databases

Risk assessment

Computer security

Mathematical optimization

Reflection

Detection and tracking algorithms

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