This paper studies the relationship between information demand measured by Google search volume index, price returns, and trading volume for five major cryptocurrencies. We find that past information demand flows significantly influence the volume of all cryptocurrencies except for Litecoin. Moreover, trading volumes are found to Granger cause the information demand flows of Bitcoin, Ripple, and Litecoin, while previous day’s returns significantly influence the information demand flows of all the altcoins
This dissertation studies the determinants of return structure in the cross-section of cryptocurrenc...
Natural Language Processing was adopted in this study to model data driven discourses in the crypto ...
Cryptocurrencies have become increasingly popular since the introduction of bitcoin in 2009. In this...
This paper studies the relationship between information demand measured by Google search volume inde...
In the context of the debate on the role of cryptocurrencies in the economy as well as their dynamic...
This paper investigates the information transmission between the most important cryptocurrencies - B...
This paper examines factors that influence prices of most common five cryptocurrencies such Bitcoin,...
Although cryptocurrencies have garnered enormous public attention in recent times, extensive fluctua...
Cryptocurrencies have become increasingly popular since the introduction of bitcoin in 2009. In this...
Timely economic statistics is crucial for effective decision making. However, most of them are relea...
In this article, we empirically examine the cryptocurrency market reaction to china prohibiting init...
This paper analyses the volume-return relationships across the top 30 most traded cryptocurrencies f...
Abstract The increasing attention on Bitcoin since 2013 prompts the issue of possible evidence for a...
The novelty, the rapid growth rate and the high volatility of cryptocurrencies have led to great unc...
Since the introduction of Blockchain technologies in Bitcoin (Nakamoto & Bitcoin, 2008), there h...
This dissertation studies the determinants of return structure in the cross-section of cryptocurrenc...
Natural Language Processing was adopted in this study to model data driven discourses in the crypto ...
Cryptocurrencies have become increasingly popular since the introduction of bitcoin in 2009. In this...
This paper studies the relationship between information demand measured by Google search volume inde...
In the context of the debate on the role of cryptocurrencies in the economy as well as their dynamic...
This paper investigates the information transmission between the most important cryptocurrencies - B...
This paper examines factors that influence prices of most common five cryptocurrencies such Bitcoin,...
Although cryptocurrencies have garnered enormous public attention in recent times, extensive fluctua...
Cryptocurrencies have become increasingly popular since the introduction of bitcoin in 2009. In this...
Timely economic statistics is crucial for effective decision making. However, most of them are relea...
In this article, we empirically examine the cryptocurrency market reaction to china prohibiting init...
This paper analyses the volume-return relationships across the top 30 most traded cryptocurrencies f...
Abstract The increasing attention on Bitcoin since 2013 prompts the issue of possible evidence for a...
The novelty, the rapid growth rate and the high volatility of cryptocurrencies have led to great unc...
Since the introduction of Blockchain technologies in Bitcoin (Nakamoto & Bitcoin, 2008), there h...
This dissertation studies the determinants of return structure in the cross-section of cryptocurrenc...
Natural Language Processing was adopted in this study to model data driven discourses in the crypto ...
Cryptocurrencies have become increasingly popular since the introduction of bitcoin in 2009. In this...