Potential of Machine Learning for Development of the Venture Capital Investments in Russia
- Authors: Kazakova E.D.1
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Affiliations:
- Financial University under the Government of the Russian Federation
- Issue: Vol 19, No 2 (2023)
- Pages: 209-215
- Section: Mathematical, Statistical and Instrumental Methods in Economics
- URL: https://journals.eco-vector.com/2541-8025/article/view/568528
- ID: 568528
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Abstract
Currently, the Russian economy is facing unprecedented sanctions pressure from Western countries. In addition to import substitution and digitalization, one of the most important directions of government policy is the simplification and stimulation of new technological solutions (startup projects). The aim of the research is to study the potential of using artificial intelligence and machine learning in pre-investment analysis of the startup projects' potential profitability at early stages of development for subsequent venture investment. As a result, a number of recommendations have been proposed for the development of venture investment in Russian startup projects. Furthermore, the technological and information foundation has been described in accordance with the directions of the application of artificial intelligence and machine learning. The approaches to formalizing the parameters of the future venture investment recommendation system have been explored for subsequent practical application: identifying promising startup projects, calculating risks and potential profits.
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About the authors
Ekaterina D. Kazakova
Financial University under the Government of the Russian Federation
Author for correspondence.
Email: 191841@edu.fa.ru
ORCID iD: 0009-0008-8081-1722
SPIN-code: 6714-5454
Russian Federation, Moscow
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