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Крылов, Григорий Олегович

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Институт финансовых технологий и экономической безопасности
Институт финансовых технологий и экономической безопасности (ИФТЭБ) Национального исследовательского ядерного университета "МИФИ" готовит кадры в интересах национальной системы по противодействию легализации (отмыванию) доходов, полученных преступным путем, и финансированию терроризма (ПОД/ФТ). Междисциплинарность образования позволит выпускникам ИФТЭБ НИЯУ МИФИ легко адаптироваться на современном рынке труда и в бизнес-среде.
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Крылов
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Григорий Олегович
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2019 - 201912020 - 20211
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    Neural network data processing for financial insolvency fore-casting of the water supply enterprises
    (2021) Krylov, G. O.; Vorobeva, A. S.; Nikolaeva, M. V.; Крылов, Григорий Олегович
    © Published under licence by IOP Publishing Ltd.This work is devoted to creation of neural network methods with the increased stability and reliability for bankruptcy forecasting. In this paper, we investigate the performance of four different neural network (NN) methods for bankruptcy prediction of the resource provisioning system enterprises. Two methods based on NN-ensembles of classifiers (boosting-ensembles and bagging-ensembles) and another two tested methods are stand-alone classifiers (multilayer perceptron (MLP) and network of radial basic functions). We defined that bagging-ensembles of neural networks have advantage in comparison with classical - stand-alone classifiers. Developed bagging-ensemble of neural networks is currently used to the sphere of financial monitoring for identification of signs of financial insolvency of the water supply enterprises and assessment of risk of social tension in regions.
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    Current state and development trends of blockchain technology in the financial sector
    (2019) Seleznev, V. M.; Krylov, G. O.; Крылов, Григорий Олегович
    © 2018 Finance: Theory and Practice. All rights reserved.The article analyzes the main reasons for the slow adoption of blockchain technology, in particular, in the financial sector. The authors critically analyzed the main declared properties of blockchain technologies: Trust, security, decentralization, immutable data storage, lack of intermediaries, hardware protection against attacks, and openness. The aim of the study are to show that these blockchain properties are overestimated, the expectations of its adoption are inflated, and the delays in its adaptation outside of cryptocurrencies, in particular, in the financial sector, are natural. The article is based on a methodology for the qualitative and quantitative analysis of scientific publications and statistical sources on the blockchain adaptation from the perspective of the theory of diffusion of innovations, the conditions and the specifics of economic and sociological approaches for consensus-building. The study resulted in the following new systemic findings. Blockchain and distributed ledgers are not fundamentally new technologies. In general, they do not have the properties of the immutable data storage, trust, anonymity, low transaction and adoption costs. All current consensus technologies have fundamental faults. Cryptocurrency technology is original, but it was a private experimental solution to a specific ideological problem of the libertarian political agenda. Consensus does not provide trust. Delayed blockchain adoption, in particular in traditional financial institutions, is natural, since the technology does not show better results than current digital solutions, and traditional economic institutions have greater public trust. The practical implications of the findings are that they may be used by investors.