2021
DOI: 10.1016/j.cnsns.2021.105901
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Solving the chaos model-data paradox in the cryptocurrency market

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Cited by 15 publications
(6 citation statements)
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“…Meanwhile, a higher degree of cryptocurrency compatibility e-retailers' businesses also encourages its adoption. As argued by Pietrych et al [103], cryptocurrency is a market-driven phenomenon. Aside from the TAM-based attributes, the significant role of cryptocurrency's functional transparency in defining technostress among e-retailers highlighted that the technology's fundamental characteristics of digital currencies still trigger ambiguity (including price volatility) [48] and trust-related issues [99] among potential e-retailors.…”
Section: Discussionmentioning
confidence: 96%
“…Meanwhile, a higher degree of cryptocurrency compatibility e-retailers' businesses also encourages its adoption. As argued by Pietrych et al [103], cryptocurrency is a market-driven phenomenon. Aside from the TAM-based attributes, the significant role of cryptocurrency's functional transparency in defining technostress among e-retailers highlighted that the technology's fundamental characteristics of digital currencies still trigger ambiguity (including price volatility) [48] and trust-related issues [99] among potential e-retailors.…”
Section: Discussionmentioning
confidence: 96%
“…Chaos widely exists in many areas, such as astronomy, quantum mechanics, economy and finance, weather, climate, network science, thermodynamics, chemistry, probabilistic mathematics, fluid mechanics and so on [1][2][3][4][5][6][7]. The study indicates that chaos has a very important application value in power system protection, flow dynamics, biomedicine, computer technique, information science, cryptology, communication engineering and so on [8].…”
Section: Introductionmentioning
confidence: 96%
“…In addition, since risk can be faced by holding either long (downside risk) or short (upside risk), whether upside risk spillovers and downside risk spillovers may have different dynamic behaviours requires more detailed investigation, which is rare in the literature. Last and perhaps more importantly, despite a general interests in nonlinear financial dynamics of return, volatility and order flow series (see [ 24 , 37 , 40 , 47 , 56 , 58 ] amongst others), there is little investigation into inter-market dynamics, like the risk spillover series. In this study, we attempt to address these issues.…”
Section: Introductionmentioning
confidence: 99%