This study investigates asymmetric multifractality and market efficiency of the major cryptocurrencies during the COVID-19 pandemic while accounting for different investment horizons. By applying the asymmetric multifractal detrended fluctuation analysis, we show that the outbreak affected the efficiency property of price behaviors differently between short- and long-term horizons. After the outbreak, the markets exhibited stronger multifractality in the short-term but weaker multifractality in the long-term. We also analyze asymmetric market patterns between upward and downward trends and between small and large price fluctuations and confirm that the outbreak has greatly changed the level of asymmetry in cryptocurrency markets
First published online: September 2020We explore the evolution of the informational efficiency in 45...
We analyze the correlation between different assets in the cryptocurrency market throughout differen...
This paper investigates the time-varying co-movements in cryptocurrency market, employing a Dynamic ...
In this study, we examine the asymmetric efficiency of cryptocurrencies using 1-hour data of Bitcoin...
This article investigates the dynamical complexity and fractal characteristics changes of the Bitcoi...
Motivated by the lack of research on price efficiency dynamics of green bonds and the impact of the ...
This research analyzes asymmetric volatility and multifractality in four representative cryptocurren...
Petroleum markets encountered exceptional challenges during the outbreak period. In this backdrop, t...
This study investigates the volatility of daily Bitcoin returns and multifractal properties of the B...
We employ multifractal detrended fluctuation analysis (MF-DFA) to provide the first look at the effi...
Abstract This paper explores the asymmetric effect of COVID-19 pandemic news, as measured by the cor...
This paper introduces new methods for analysing the extreme and erratic behaviour of time series to ...
The ever-emerging environmental, social, and governance (ESG) concerns have received significant att...
Using the multifractional Brownian motion as a model of the price dynamics, we analyze the impact of...
In this paper, we study the long memory behavior of Bitcoin, Litecoin, Ethereum, Ripple, Monero, and...
First published online: September 2020We explore the evolution of the informational efficiency in 45...
We analyze the correlation between different assets in the cryptocurrency market throughout differen...
This paper investigates the time-varying co-movements in cryptocurrency market, employing a Dynamic ...
In this study, we examine the asymmetric efficiency of cryptocurrencies using 1-hour data of Bitcoin...
This article investigates the dynamical complexity and fractal characteristics changes of the Bitcoi...
Motivated by the lack of research on price efficiency dynamics of green bonds and the impact of the ...
This research analyzes asymmetric volatility and multifractality in four representative cryptocurren...
Petroleum markets encountered exceptional challenges during the outbreak period. In this backdrop, t...
This study investigates the volatility of daily Bitcoin returns and multifractal properties of the B...
We employ multifractal detrended fluctuation analysis (MF-DFA) to provide the first look at the effi...
Abstract This paper explores the asymmetric effect of COVID-19 pandemic news, as measured by the cor...
This paper introduces new methods for analysing the extreme and erratic behaviour of time series to ...
The ever-emerging environmental, social, and governance (ESG) concerns have received significant att...
Using the multifractional Brownian motion as a model of the price dynamics, we analyze the impact of...
In this paper, we study the long memory behavior of Bitcoin, Litecoin, Ethereum, Ripple, Monero, and...
First published online: September 2020We explore the evolution of the informational efficiency in 45...
We analyze the correlation between different assets in the cryptocurrency market throughout differen...
This paper investigates the time-varying co-movements in cryptocurrency market, employing a Dynamic ...