News-based sentiment and bitcoin volatility

In this work, I studied whether news media sentiments have an impact on Bitcoin volatility. doing so, applied three different range-based volatility estimates along with two sentiments, namely psychological and financial incorporating four various sentiment dictionaries. By analyzing 17,490 coverages by 91 major English-language newspapers listed in the LexisNexis database from around globe January 2012 until August 2021, found to play a significant role Following heterogeneous autoregressive model for realized (HAR-RV)—which uses market idea create simple additive at scales learn which factor is influencing time series—along as explanatory variables, showed better fit higher forecasting accuracy. Furthermore, also that medium-term long-term effects Moreover, National Research Council Emotion Lexicon main emotional drivers of be anticipation trust.