I INVESTIGATE WHETHER THE returns of GICS sectors in the US predict Bitcoin price movements in short term. Sectors that can predict Bitcoin returns significantly with one day lag are information technology, utilities, consumer discretionary, energy, consumer staples, and communication services sectors. On the other hand, sector returns with a one-month lag do not provide any significant predictability to Bitcoin’s prices. As big companies have earlier been found leading small company returns in stock markets, I find only a modest difference between big or small companies leading daily Bitcoin returns. As an exception, when considering trading volumes controlling for size, large capitalized companies with high trading volume do predict Bitco...
Motivated by the potential inferences from intraday price data in the controversial Bitcoin market, ...
Short-term stock returns, especially portfolio returns, are surprisingly predictable. The explanatio...
In this paper, we analyze the relative impact of attention measures either on the mean or on the var...
Our article comprehensively examines the performance of a host of popular variables to predict Bitco...
This paper comprehensively examines the performance of a host of popular variables to predict Bitcoi...
DATA AVAILABILITY : Data used in the study are secondary published data extracted from DataStream. H...
This paper studies the behaviour of Bitcoin returns at different sample frequencies. We consider hig...
This study examines intraday time-series momentum in Bitcoin. Unlike stock markets, Bitcoin trades 2...
This paper investigates the relationship between Bitcoin returns and the frequency of daily abnormal...
In this paper, I study the day-of-the-week effect on Bitcoin returns for the period from 2011 throug...
Since Bitcoin has frequently witnessed price fluctuations and high volatility, the factors influenci...
The purpose of this paper is to examine the price–volume relationship in the bitcoin market to valid...
International audienceWe use a dataset of approximately one million messages sent on StockTwits to e...
We study which variables can explain and predict the return, volatility and traded volume of the cry...
Bitcoin has received much investor attention in recent years and following this, there has been an e...
Motivated by the potential inferences from intraday price data in the controversial Bitcoin market, ...
Short-term stock returns, especially portfolio returns, are surprisingly predictable. The explanatio...
In this paper, we analyze the relative impact of attention measures either on the mean or on the var...
Our article comprehensively examines the performance of a host of popular variables to predict Bitco...
This paper comprehensively examines the performance of a host of popular variables to predict Bitcoi...
DATA AVAILABILITY : Data used in the study are secondary published data extracted from DataStream. H...
This paper studies the behaviour of Bitcoin returns at different sample frequencies. We consider hig...
This study examines intraday time-series momentum in Bitcoin. Unlike stock markets, Bitcoin trades 2...
This paper investigates the relationship between Bitcoin returns and the frequency of daily abnormal...
In this paper, I study the day-of-the-week effect on Bitcoin returns for the period from 2011 throug...
Since Bitcoin has frequently witnessed price fluctuations and high volatility, the factors influenci...
The purpose of this paper is to examine the price–volume relationship in the bitcoin market to valid...
International audienceWe use a dataset of approximately one million messages sent on StockTwits to e...
We study which variables can explain and predict the return, volatility and traded volume of the cry...
Bitcoin has received much investor attention in recent years and following this, there has been an e...
Motivated by the potential inferences from intraday price data in the controversial Bitcoin market, ...
Short-term stock returns, especially portfolio returns, are surprisingly predictable. The explanatio...
In this paper, we analyze the relative impact of attention measures either on the mean or on the var...