Disentangling the Nonlinearity Effect in Cryptocurrency Markets During the Covid-19 Pandemic: Evidence from a Regime-Switching Approach
Nidhal Mgadmi (),
Azza Béjaoui () and
Wajdi Moussa ()
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Nidhal Mgadmi: Faculty of Economics and Management
Azza Béjaoui: Manouba University
Wajdi Moussa: High Institute of Management
Asia-Pacific Financial Markets, 2023, vol. 30, issue 3, No 2, 457-473
Abstract:
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.
Keywords: Digital currencies; Health crisis; Markov switching (search for similar items in EconPapers)
JEL-codes: C22 C5 G1 (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:kap:apfinm:v:30:y:2023:i:3:d:10.1007_s10690-022-09384-6
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DOI: 10.1007/s10690-022-09384-6
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