Downloads provided by UsageCounts
The data set is collected for a quantile regression analysis testing the predictive ability of investor sentiment on bitcoin return and volatility. The data is obtained from several online sources including Google trends, Wikipedia, Twitter, News headlines, Bitcointalk.org, and market indexes available at yahoo finance. the dataset includes daily values from mid-2015 to the end of 2020.
quantile regression, bitcoin, investor sentiment, volatility, return
Twitter Data
quantile regression, bitcoin, investor sentiment, volatility, return
Twitter Data
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 13 | |
| downloads | 8 |

Views provided by UsageCounts
Downloads provided by UsageCounts