Manipulation of the Bitcoin market: an agent-based study
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DOI: 10.1186/s40854-022-00364-3
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Cited by:
- Wei Xu & Daning Hu & Karl Reiner Lang & J. Leon Zhao, 2022. "Blockchain and digital finance," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-4, December.
- Lennart Quante & Annika Stechemesser & Damian Hödtke & Anders Levermann, 2024. "Convolution of individual and group identity: self-reliance increases polarisation in basic opinion model," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-9, December.
- Leonardo Bargigli & Filippo Pietrini, 2024. "Conformism, distinction and heterogeneity in an agent-based model of fads," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 19(4), pages 807-829, October.
- Fatih Ecer & Tolga Murat & Hasan Dinçer & Serhat Yüksel, 2024. "A fuzzy BWM and MARCOS integrated framework with Heronian function for evaluating cryptocurrency exchanges: a case study of Türkiye," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-29, December.
- Beckmann, Joscha & Geldner, Teo & Wüstenfeld, Jan, 2024. "The relevance of media sentiment for small and large scale bitcoin investors," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 92(C).
- Aleksandr P. Alekseenko, 2023. "Model Framework for Consumer Protection and Crypto-Exchanges Regulation," JRFM, MDPI, vol. 16(7), pages 1-17, June.
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Keywords
Agent-based modelling; Cryptocurrency; Market manipulation; Liquidity; Bitcoin;All these keywords.
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