Using daily data over the period August 5, 2013–September 27, 2019, this study investigates the dynamic spillovers between international monetary policies across four major economies (i.e. Eurozone, Japan, UK and US) and three key cryptocurrencies (i.e. Bitcoin, Litecoin and Ripple). In doing so, we apply a Time-Varying Parameter Vector Auto-Regression (TVP-VAR) model, a dynamic connectedness approach and network analysis. The empirical results indicate that cryptocurrency returns and monetary policy spillovers were particularly large when shadow policy rates became negative, moderated during the Fed's ‘tapering process’, and sharpened again more recently as cryptocurrency buoyancy returned. Gross directional spillovers suggest that shadow ...
We analyse, in the time and frequency domains, the relationships between three popular cryptocurrenc...
This paper investigates the extreme dependence and risk spillovers between Bitcoin and the currencie...
This research explores the impact of COVID-19-related media coverage on the dynamic return and volat...
Using daily data over the period August 5, 2013 - September 27, 2019, this study investigates the dy...
This paper utilizes two methods to uncover the causality dynamic between the three leading cryptocur...
This study examines the transmission of international monetary policy spillovers across developed ec...
The emergence of Bitcoin in 2009 has received considerable attention surrounding the validity of cry...
This paper applies a Diagonal BEKK model to investigate the risk spillovers of three major cryptocur...
oai:repository.derby.ac.uk:q3zwyThe introduction of Bitcoin as a distributed peer-to-peer digital ca...
This study examines the connectedness between the US yield curve components (i.e., level, slope, and...
This thesis investigates international channels of monetary policy transmission in global financial ...
This paper examines the dynamic connectedness of return- and volatility spillovers among cryptocurre...
Copyright © 2021 The Author(s). This paper examines mean and volatility spillovers between three maj...
This study applies a set of measures developed by Diebold and Yilmaz (2012, 2016) to examine connect...
This paper examines the volatility interconnection between the main cryptocurrencies and traditional...
We analyse, in the time and frequency domains, the relationships between three popular cryptocurrenc...
This paper investigates the extreme dependence and risk spillovers between Bitcoin and the currencie...
This research explores the impact of COVID-19-related media coverage on the dynamic return and volat...
Using daily data over the period August 5, 2013 - September 27, 2019, this study investigates the dy...
This paper utilizes two methods to uncover the causality dynamic between the three leading cryptocur...
This study examines the transmission of international monetary policy spillovers across developed ec...
The emergence of Bitcoin in 2009 has received considerable attention surrounding the validity of cry...
This paper applies a Diagonal BEKK model to investigate the risk spillovers of three major cryptocur...
oai:repository.derby.ac.uk:q3zwyThe introduction of Bitcoin as a distributed peer-to-peer digital ca...
This study examines the connectedness between the US yield curve components (i.e., level, slope, and...
This thesis investigates international channels of monetary policy transmission in global financial ...
This paper examines the dynamic connectedness of return- and volatility spillovers among cryptocurre...
Copyright © 2021 The Author(s). This paper examines mean and volatility spillovers between three maj...
This study applies a set of measures developed by Diebold and Yilmaz (2012, 2016) to examine connect...
This paper examines the volatility interconnection between the main cryptocurrencies and traditional...
We analyse, in the time and frequency domains, the relationships between three popular cryptocurrenc...
This paper investigates the extreme dependence and risk spillovers between Bitcoin and the currencie...
This research explores the impact of COVID-19-related media coverage on the dynamic return and volat...