Robotization of Social Functions of the Regulator

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Resumo

Transformation of citizens' savings into investments is an important task set before the economic community back in the 2020s. To form internal sources of financing, it is necessary to ensure the safety of consumers of financial services. However, cases of fraud in the financial market indicate the presence of problems in the field of financial security. The speed of digitalization of the financial market exacerbates the problems. However, flexibility and an integrated approach to the use of artificial intelligence can solve the problem of risk management in this area. Therefore, studying the possibilities of introducing digitalization into the processes of interaction of financial market participants is an important area of development of scientific research.

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Sobre autores

Svetlana Frumina

Financial University under the Government of the Russian Federation; Plekhanov Russian University of Economics

Autor responsável pela correspondência
Email: frumina@mail.ru
ORCID ID: 0000-0001-5143-9417
Código SPIN: 9150-5488
Scopus Author ID: 57191577035

Cand. Sci. (Econ.), Associate Professor, Associate Professor of the Department of Public Finance, Faculty of Finance, Associate Professor of the Department of World Financial Markets and Fintech

Rússia, Moscow; Moscow

Vladimir Galanov

Financial University under the Government of the Russian Federation

Email: frumina@mail.ru
ORCID ID: 0000-0003-2399-6982
Código SPIN: 8225-4034
Scopus Author ID: 293870

Dr. Sci. (Econ.), Professor, Professor of the Department of World Financial Markets and Fintech, doctor of Economic Sciences

Rússia, Moscow

Bibliografia

  1. Tarutina V.V., Ivanov B.N., Zhukova E.I., Kaigorodtsev K.B. Exchange robots and their impact on the stock market // Modem Scince. 2023. No.1-1. pp. 115–120.
  2. Lomakin N.I., Maramygin M.S., Kosobokova E.V., Bestuzheva L.I. Yurova O.V., Polozhentsev A.A., Lomakin I.N. Development of a cyberphysical system in Python and Qlua for trading on the Quik platform on MOEX in line with the digitalization of the economy // The international economy. 2024. No.3. pp. 214–231.
  3. Lomakin N.I., Maramygin M.S., Chernaya E.G., Kraschenko S.A. Optimization of the algorithm for applying the deep learning model «Random forest regression» to improve the accuracy of forecasting the value of a financial asset // Managerial accounting. 2024. No.2. pp. 412–418.
  4. Frumina S.V., Galanov V.A. Paradigm of the digital insurance market // Insurance business. 2023. No. 9 (366). Pp. 35–44.
  5. Frumina S.V., Galanov V.A. Architecture of the digital financial market // Siberian financial school. 2023. No. 3 (151). Pp. 67–74.
  6. By Rahul Agarwal, Andreas Kremer, Ida Kristensen and Angela Luget How generative AI can help banks manage risk and compliance // McKinsey & Company—Listen to the article. March 1, 2024.
  7. Sudeep K Kesh, Alexandre Birry, Giles Edwards, Jordan McKee AI in Banking: AI Will Be An Incremental Changer. Thought leadership report issued by S&P Global. October 31, 2023. https://www.spglobal.com/en/research-insights/featured/special-editorial/ai-in-banking-ai-will-be-an-incremental-game-changer.

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2. Fig. 1. Share of AI-generated solutions in economic sectors.

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3. Fig. 2. Volume of transactions of individual clients, 2023, million rubles.

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4. Fig. 3. Structure of the total number of complaints, 2022.

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5. Fig. 4. Structure of the total number of complaints, 2023.

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