Using daily data for eight major cryptocurrencies and bivariate extreme value theory (peaks-over-threshold method), this study examines the extreme dependence between returns and trading volumes in the cryptocurrency market. It is shown that, irrespective of the cryptocurrency under...

Despite warnings issued by different financial institutions, cryptocurrencies are increasingly used for investment and speculation purposes. However, little is known about interdependencies within cryptocurrency markets. By employing an asymmetric Diagonal BEKK model, this paper examines...

Through the application of three pair-wise bivariate BEKK models, this paper examines the conditional volatility dynamics along with interlinkages and conditional correlations between three pairs of cryptocurrencies, namely Bitcoin, Ether and Litecoin. While cryptocurrency price volatility is...

Non-linearity is characterized by an asymmetric mean-reverting property, which has been found to be inherent in the short-term return dynamics of stocks. In this paper, we explore as to whether cryptocurrency returns, as represented by Bitcoin, exhibit similar asymmetric reverting patterns for...

In this paper, we analyse co-movements and correlations between Bitcoin and thirty-one of the most-tradable crypto assets using high-frequency data for the period from January 2019 to December 2020. We apply the Diagonal-BEKK model to data from the pre-COVID and COVID-19 periods, and identify...