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• W4307401152 abstract "In this paper, we attempt to understand and identify the cyclical fluctuations in cryptocurrency markets. To this end, we apply the Markov-Switching approach on daily prices of 17 selected digital currencies. This model allows us to capture the nonlinear structure in cryptocurrencies’ prices. The empirical results clearly show potential difference(s) among digital currencies when they react to the varying levels of the pandemic's severity. The existence of two distinguishable states and each state seems to be characterized by different features of market cycle’s phase for each cryptocurrency. So, the Covid19 pandemic affects asymmetrically the different market phases of digital currencies. Such findings can have insightful portfolios implications." @default.
• W4307401152 created "2022-11-01" @default.
• W4307401152 creator A5002294747 @default.
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• W4307401152 date "2022-10-25" @default.
• W4307401152 modified "2023-10-06" @default.
• W4307401152 title "Disentangling the Nonlinearity Effect in Cryptocurrency Markets During the Covid-19 Pandemic: Evidence from a Regime-Switching Approach" @default.
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• W4307401152 doi "https://doi.org/10.1007/s10690-022-09384-6" @default.
• W4307401152 hasPublicationYear "2022" @default.
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