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Employment (1)

Уральский государственный экономический университет: Екатеринбург, RU

2011-05-01 to present | директор, профессор (институт финансов)
Employment
Source: Self-asserted source
Максим Марамыгин

Education and qualifications (1)

Свердловский институт народного хозяйства: Екатеринбург, свердловская , RU

1982-09-01 to 1986-06-30 | Специалист (Финансы)
Education
Source: Self-asserted source
Максим Марамыгин

Works (17)

Digital Deep Learning Model for Forecasting the Key Rate of The Central Bank of The Russian Federation in Volatility

Mezhdunarodnaja jekonomika (The World Economics)
2025-02-19 | Journal article
Contributors: N. I. Lomakin; T. I. Kuzmina; M. S. Maramygin; T. G. Agievich; E. A. Radionova; A. A. Polozhenev
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Assessment of Stability of the Banking System with Dl-Model Rf and the Hurwitz Matrix in the Conditions of Turbulent Economy

Mezhdunarodnaja jekonomika (The World Economics)
2025-01-14 | Journal article
Contributors: N. I. Lomakin; T. I. Kuzmina; M. S. Maramygin; T. G. Agievich; N. T. Shabanov; I. A. Samorodova; T. V. Terekhov
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Cognitive Model Based on The Dl Random Forest Method for Profi t Forecasting and Fuzzy Algorithm for Assessing Company Sustainability in Conditions of Uncertainty

Mezhdunarodnaja jekonomika (The World Economics)
2024-10-17 | Journal article
Contributors: N. I. Lomakin; M. S. Maramygin; T. I. Kuzmina; A. A. Polozhentsev; Y. O. Sleta; O. V. Yurova; N. T. Shabanov
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Assessment of Financial Stability of a Partner Organization Using Dl Random Forest, Var, Z-Altman, Hurwitz Models in Conditions of Turbulent Economy

Mezhdunarodnaja jekonomika (The World Economics)
2024-08-29 | Journal article
Contributors: N. I. Lomakin; M. S. Maramygin; T. I. Kuzmina; A. A. Polozhentsev; E. A. Radionova; O. A. Minaeva; T. V. Terekhov
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Analysis of Stability of The Banking System with The Hurwitz Criterion and Forecasting by The Random Forest Deep Learning Model

Mezhdunarodnaja jekonomika (The World Economics)
2024-06-28 | Journal article
Contributors: N. I. N. I.; T. I. Kuzmina; M. S. Maramygin; O. A. Minaeva; O. V. Yurova; M. А. Petrova
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Clustering Using the k-Means Method, Modeling the Stability of Russian Banking Companies Using the Dl-Model "Random Forest" in Modern Conditions

Mezhdunarodnaja jekonomika (The World Economics)
2024-05-23 | Journal article
Contributors: N. I. Lomakin; M. S. Maramygin; T. B. Boriskina; T. I. Kuzmina; I. A. Samorodova; Yu. S. Polozhentseva; M. Ibrahim
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HIERARCHICAL CLUSTERIZATION AND DEEP LEARNING MODEL RANDOM FOREST OF BANKS’ STABILITY UNDER RISK CONDITIONS

Krasnoyarsk Science
2024-03-29 | Journal article
Contributors: Nikolay I. Lomakin; Tatyana I. Kuzmina; Maxim S. Maramygin; Svetlana N. Dergacheva; Yulia T. Tsebekova; Kanchana Vimalarathne; Ivan N. Lomakin
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Development of a cyber-physical system in Python and QLua for trading on the QUIK platform on MoEx in line with the digitalization of the economy

Mezhdunarodnaja jekonomika (The World Economics)
2024-03-18 | Journal article
Contributors: N. I. Lomakin; M. S. Maramygin; E. V. Kosobkova; L. I. Bestuzheva; O. V. Yurova; A. A. Polozhentsev; I. N. Lomakin
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Innovative Digital Model of the Infl uence of the Key Rate on the Profi tability of the Russian Banking System

Mezhdunarodnaja jekonomika (The World Economics)
2024-01-18 | Journal article
Contributors: N. I. Lomakin; M. S. Maramygin; A. F. Moskovtsev; T. I. Kuzmina; L. I. Bestuzheva; E. A. Radionova; E. O. Fedorovskaya
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Support for Management Decision-Making Based on the “HAM” Method and the DL “Random Forest” Model to Increase Company Efficiency

2023 | Book chapter
Contributors: Nikolay Lomakin; Maxim Maramygin; Alexey Polozhentsev; Julia Polozhentseva; Pavel Kravchenya; Galiya Rakhmankulova
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RF Deep Learning Model "Random Forest" for Forecasting Organizational Profit in the Digital Economy

Mezhdunarodnaja jekonomika (The World Economics)
2023-11-30 | Journal article
Contributors: N. I. Lomakin; M. S. Maramygin; A. A. Polozhentsev; N. T. Shabanov; S. A. Naumova; M. K. Starovoytov
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Cognitive Modeling of the Sustainable Development of the Banking System under the Conditions of Innovative Transformations

Mezhdunarodnaja jekonomika (The World Economics)
2023-10-30 | Journal article
Contributors: N. I. Lomakin; M. S. Maramygin; A. F. Moskovtsev; E. A. Radionova; N. T. Shabanov; Y. A. Kachanov; K. Vimalarathne
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Digital competitive advantage of the exchange adviser based on the deep learning model «random forest regression»

Mezhdunarodnaja jekonomika (The World Economics)
2023-05-25 | Journal article
Contributors: N. I. Lomakin; M. S. Maramygin; S. A. Kraschenko; V. F. Trunina; O. V. Yurova; N. T. Shabanov; I. A. Samorodova
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A cognitive model for forecasting the stability of the economy under conditions of market uncertainty and risk

Mezhdunarodnaja jekonomika (The World Economics)
2023-04-27 | Journal article
Contributors: N. I. Lomakin; M. S. Maramygin; G. I. Lukyanov; V. N. Tsygankova; D. D. Solovyov; N. T. Shabanov
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FINTECH TERM: DEFINITION, SEMANTICS AND ESSENCE

Moscow Economic Journal
2022 | Journal article
Contributors: D.M. Nazarov; M.S. Maramygin
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STRATEGIC PLANNING IN THE SPHERE OF INVESTMENT ACTIVITY OF AN INSURANCE ORGANIZATION

Scientific Review. Series 1. Economics and Law
2019 | Journal article
Contributors: Lyubov A. Sokolova; Maxim S. Maramygin
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Mathematical model of optimizing the balance sheet structure of the Russian banking system with allowance for the foreign exchange risk levels

Entrepreneurship and Sustainability Issues
2019-09-30 | Journal article
Contributors: Karine Barmuta; Vadim Ponkratov; Maksim Maramygin; Nikolay Kuznetsov; Vitali Ivlev; Marina Ivleva
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