Using a quantile vector autoregressive model to capture return dynamics in extreme market conditions, we find that the cryptocurrency market exhibits a high level of market connectedness. Bitcoin is a net transmitter of return spillovers during busts and a net receiver during booms. Analysis of the timing of bubble and crash periods uncovers the presence of interdependence and contagion effects. Asset dynamics is driven to a great extent by the technology, in particular the consensus protocol of cryptocurrencies. There is only limited evidence for asset rotation, and it involves mostly Ripple
In this study the cross-correlations between the cryptocurrency market represented by the two most l...
This paper investigates the time-varying co-movements in cryptocurrency market, employing a Dynamic ...
In this paper we draw upon the close relationship between statistical physics and mathematical finan...
Using a quantile vector autoregressive model to capture return dynamics in extreme market conditions...
In the present paper, we investigate connectedness within cryptocurrency markets as well as across t...
International audienceThis article studies contagion effects between traditional financial markets, ...
Research on cryptocurrencies has focused on price and volatility formation in isolation, however kno...
This paper aims to shed light on the 2017 Bitcoin bubble. Firstly, by applying the dynamic time warp...
Cryptocurrencies have attained massive global attention shortly after its creation, thus capturing t...
The paper examines whether an unanticipated event like the COVID-19 crisis has strengthened the cont...
This paper analyses time-varying networks of clean and dirty cryptocurrencies with green and traditi...
We develop bespoke rational bubble models for Bitcoin and cryptocurrencies that incorporate both hea...
Abstract Crypto assets have lately become the chief interest of investors around the world. The exci...
This study applies a set of measures developed by Diebold and Yilmaz (2012, 2016)to examine connecte...
We analyze how the return connectedness between cryptocurrencies and environmental market indexes ev...
In this study the cross-correlations between the cryptocurrency market represented by the two most l...
This paper investigates the time-varying co-movements in cryptocurrency market, employing a Dynamic ...
In this paper we draw upon the close relationship between statistical physics and mathematical finan...
Using a quantile vector autoregressive model to capture return dynamics in extreme market conditions...
In the present paper, we investigate connectedness within cryptocurrency markets as well as across t...
International audienceThis article studies contagion effects between traditional financial markets, ...
Research on cryptocurrencies has focused on price and volatility formation in isolation, however kno...
This paper aims to shed light on the 2017 Bitcoin bubble. Firstly, by applying the dynamic time warp...
Cryptocurrencies have attained massive global attention shortly after its creation, thus capturing t...
The paper examines whether an unanticipated event like the COVID-19 crisis has strengthened the cont...
This paper analyses time-varying networks of clean and dirty cryptocurrencies with green and traditi...
We develop bespoke rational bubble models for Bitcoin and cryptocurrencies that incorporate both hea...
Abstract Crypto assets have lately become the chief interest of investors around the world. The exci...
This study applies a set of measures developed by Diebold and Yilmaz (2012, 2016)to examine connecte...
We analyze how the return connectedness between cryptocurrencies and environmental market indexes ev...
In this study the cross-correlations between the cryptocurrency market represented by the two most l...
This paper investigates the time-varying co-movements in cryptocurrency market, employing a Dynamic ...
In this paper we draw upon the close relationship between statistical physics and mathematical finan...