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handle: 10419/103022 , 10419/103105
Les auteurs analysent l’incidence des effets de réseau sur la concurrence au sein du jeune marché des cryptomonnaies. Pour ce faire, ils examinent l’évolution des taux de change entre les cryptomonnaies au fil du temps. Plus particulièrement, ils étudient : 1) la concurrence entre diverses cryptomonnaies et 2) la concurrence entre les plateformes où elles s’échangent. Dans une première phase, les données évoquent le phénomène classique de concentration autour d’un acteur dominant. Au cours de cette période, lorsque le bitcoin gagne de la valeur par rapport au dollar américain, il s’apprécie également vis-à-vis des autres cryptomonnaies. Durant la seconde phase observée, cette tendance s’inverse. Les données cadrent alors avec l’emploi des cryptomonnaies (que le bitcoin a banalisé) à titre d’actifs financiers, et non avec une dynamique de marché favorisant l’hégémonie.
We analyze how network effects affect competition in the nascent cryptocurrency market. We do so by examining the changes over time in exchange rate data among cryptocurrencies. Specifically, we look at two aspects: (1) competition among different currencies, and (2) competition among exchanges where those currencies are traded. Our data suggest that the winner-take-all effect is dominant early in the market. During this period, when Bitcoin becomes more valuable against the U.S. dollar, it also becomes more valuable against other cryptocurrencies. This trend is reversed in the later period. The data in the later period are consistent with the use of cryptocurrencies as financial assets (popularized by Bitcoin), and not consistent with “winner-take-all” dynamics.
E-money, ddc:330, Bitcoin; cryptocurrency; network effects, L1, bitcoin, cryptocurrency, network effects, jel: jel:L86, jel: jel:L17
E-money, ddc:330, Bitcoin; cryptocurrency; network effects, L1, bitcoin, cryptocurrency, network effects, jel: jel:L86, jel: jel:L17
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 75 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 1% | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 1% | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |