Potential of Machine Learning for Development of the Venture Capital Investments in Russia
- 作者: Kazakova E.D.1
-
隶属关系:
- Financial University under the Government of the Russian Federation
- 期: 卷 19, 编号 2 (2023)
- 页面: 209-215
- 栏目: Mathematical, Statistical and Instrumental Methods in Economics
- URL: https://journals.eco-vector.com/2541-8025/article/view/568528
- ID: 568528
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详细
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.
全文:
作者简介
Ekaterina Kazakova
Financial University under the Government of the Russian Federation
编辑信件的主要联系方式.
Email: 191841@edu.fa.ru
ORCID iD: 0009-0008-8081-1722
SPIN 代码: 6714-5454
俄罗斯联邦, Moscow
参考
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