Textual analysis, implemented at scale, has become an important addition to the
methodological toolbox of finance. In this review, given the proliferation of papers now using …

We establish that cryptocurrency returns are driven and can be predicted by factors that are
specific to cryptocurrency markets. Cryptocurrency returns are exposed to cryptocurrency …

We use a large dataset of one million messages sent on the microblogging platform
StockTwits to evaluate the performance of a wide range of preprocessing methods and …

This study investigates speculative bubbles in the cryptocurrency market and factors
affecting bubbles during the COVID-19 pandemic. Our results indicate that each …

This paper examines the relationship between investor fear in the cryptocurrency market
and Bitcoin prices by considering the potential effects of the ongoing COVID-19 pandemic …

This research analyses high-frequency data of the cryptocurrency market in regards to
intraday trading patterns related to algorithmic trading and its impact on the European …

The paper examines the influence of investor sentiment based on news headlines on the
Cryptocurrency Market Index and ten individual cryptocurrency returns. We capture …

This study explains the Islamic economic perspective on cryptocurrency, in this case, in the
light of maqashid shariah. This research was a literature study and qualitative in nature. The …

This paper proposes that the dynamics of bond volatility may be understood by studying
textual news sentiments. In this new approach, a modified framework is used to understand …

This paper provides a systematic literature review of text analysis methodologies used in
blockchain-related research to comprehend and synthesize existing studies across …