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Explaining the lead–lag pattern in the money–inflation relationship: a microsimulation approach
Journal of Evolutionary Economics. 2021. Vol. 31. No. 4. P. 1113–1128.
Дерюгина Е. Б., Ponomarenko A. A.
Mansurov K., Semenov A., Dmitry Grigoriev et al., Expert Systems with Applications 2023 Vol. 232 Article 120567
In this paper we investigate the role of self-learning agents in multi-agent models of financial markets. We develop an agent-based simulation model of a financial market and, in addition to the agents with fixed strategies used in previous research, we introduce an agent with a self-learning strategy. To model the behavior of such an agent, ...
Added: July 11, 2025
Mansurov K., Semenov A., Dmitry Grigoriev et al., Computational Economics 2024 Vol. 64 P. 2585–2603
In this paper, we consider the approach of applying state-of-the-art machine learning
algorithms to simulate some financial markets. In this case, we choose the cryptocurrency market based on the assumption that such markets more active today. As
a rule, they have more volatility, attracting riskier traders. Considering classic trading strategies, we also introduce an agent with a ...
Added: July 11, 2025
Akhremenko A. S., Philippov I., Sychev V. et al., Политическая наука 2025 № 1 С. 77–102
Modern academic literature has focused on technology adaptation and innovation in politics and public administration. At present, there is a large number of studies, the central object of which is such an actively developing phenomenon as public digital services. Despite the diverse range of theoretical approaches, there is no established methodological tradition of modelling the ...
Added: May 1, 2025
Petrov A., Sergey Zheglov, Akhremenko A. S., , in: 2024 17th International Conference on Management of Large-Scale System Development (MLSD).: IEEE, 2024. Ch. 1 P. 1–4.
Agent-based models on networks most often assume static networks. However, in some contexts political science
provides arguments that the dynamical character of the network should be taken into account. Specifically, during a protest campaign, new social ties between the participants may occur. Here we present an agent-based model of protest campaign and some numerical experiments with it. It is shown that ...
Added: May 1, 2025
Valentina Kravchenko, Karapetov V., Nechepurenko I., Journal of Financial Crime 2023 Vol. 30 No. 6 P. 1474–1490
Purpose
This study aims to identify the factors which influence the change in the volume of shadow economy in the countries of Europe to explain its growth or reduction through the change in the identified factors. This would help to determine which factors are worth impacting to reduce the volume of shadow economy in the countries ...
Added: January 22, 2025
Deryugina E., Leonidov A., Ponomarenko A. A. et al., Structural Change and Economic Dynamics 2024 Vol. 71 P. 315–319
Added: August 28, 2024
Akhremenko A. S., Полис. Политические исследования 2024 № 2 С. 118–134
The influence of Internet communication on “street” protest activity is the focus of this paper. In recent years, there has been some stagnation in this area of research: a shortage of breakthrough works that indicate new research directions or at least significantly strengthen the empirical foundation of already established hypotheses. The paradox is that when ...
Added: March 31, 2024
Petrov A., Sergey Zheglov, Akhremenko A. S., , in: 16th International Conference Management of large-scale system development (MLSD).: IEEE, 2023. Ch. 1 P. 1–5.
The paper studies protest campaigns consisting of both days with protest activity and days without activity. A dynamical agent-based model has been constructed. Numerical experiments showed that repression reduces the surviving probability of the campaign, but moderate repression may increase the turnout for the campaigns that survive. ...
Added: March 7, 2024
Finance Research Letters 2022 Vol. 50 No. 22 Article 103202
This study proposes and tests a portfolio selection model with inflation allocation lines (IAL) for
corresponding capital allocation line (CAL) and utilities in several scenarios of crisis. The model is
based on Markowitz’s mean-variance (MV) theory, with modification of Tobin’s portfolio utility
function, and Sharpe’s (1964) portfolio theory. The model introduces inflation as a significant
factor. According to study ...
Added: September 6, 2023
Goryunov E., Вопросы экономики 2023 № 3 С. 126–158
The indicator of monetization of the economy; equal to the ratio of nominal money supply to nominal GDP; is very popular among Russian economists and is used to assess the effectiveness of the monetary policy pursued and is often employed in cross-country comparisons. Many economists believe that the monetization of the Russian economy is excessively ...
Added: August 23, 2023
Alexander Petrov, Andrei Akhremenko, Sergey Zheglov, Social Science Computer Review 2023 Vol. 41 No. 6 P. 2249–2273
Protest campaign movements are often carried out by coalitions rather than by homogeneous groups. Accordingly, an opposition member has both a narrow partisan identity and a broad allopposition identity. Seeking to prevent mass political participation, autocracies can repress protesters regardless of their group membership or apply the “divide and conquer” principle, targeting specific groups. Any ...
Added: May 13, 2023
Ponomarenko A. A., Journal of Financial Economic Policy 2017 Vol. 9 No. 1 P. 70–85
Added: March 28, 2023
Дерюгина Е. Б., Ponomarenko A. A., Empirical Economics 2017 Vol. 53 No. 2 P. 441–457
Added: March 28, 2023
Ponomarenko A. A., Ponomarenko A., Economics: The Open-Access, Open-Assessment E-Journal 2018 Vol. 12 P. 1–20
Added: March 28, 2023
Ponomarenko A. A., Journal of Asian Economics 2019 Vol. 62 P. 1–16
Added: March 28, 2023
Ponomarenko A. A., Economics: The Open-Access, Open-Assessment E-Journal 2020 Vol. 14 P. 1–15
The author set up a simplistic agent-based model where agents learn with reinforcement observing an incomplete set of variables. The model is employed to generate an artificial dataset that is used to estimate standard macro econometric models. The author shows that the results are qualitatively indistinguishable (in terms of the signs and significances of the ...
Added: March 28, 2023
Ponomarenko A. A., Селезнев С. М., Хабибуллин Р. А., Journal of Simulation 2022 Vol. 16 No. 3 P. 298–311
Added: March 28, 2023
Ponomarenko A. A., Journal of Financial Economic Policy 2021 Vol. 14 No. 2 P. 141–151
Added: March 28, 2023
Andrei Akhremenko, Sergey Zheglov, Petrov A. et al., , in: 2022 15th International Conference Management of large-scale system development (MLSD).: M.: IEEE, 2022. Ch. 4 P. 1–5.
The paper introduces a new approach to modeling Internet shutdown during the process of protest mobilization. The central point of the approach is the sequential use of two networks, with different topologies built upon the same set of individuals. Some endogenously set proportion of connections is shared by both networks. A model of protest dynamics ...
Added: November 13, 2022
Толокнев К. А., Вестник Пермского университета Политология 2021 Т. 15 № 4 С. 16–29
Bots (automated accounts) in social media have gained more attention from social scientists in recent years.
The former are employed by both governments and civil society groups in order to manipulate online political
discussion in social media. Nevertheless, there is no conclusive evidence on their effectiveness as a tool
to bolster (mobilize) or suppress (demobilize) political discussion in ...
Added: May 27, 2022