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. 2021 Aug 7;3(2):169–204. doi: 10.1007/s42521-021-00038-2

Table 4.

Summary statistics for daily bullish sentiment

Panel A: Twitter
Q1% Q10% Q25% Median Mean Q75% Q90% Q99%
Harvard-IV −1.61 −0.69 0.00 0.56 0.51 1.10 1.61 2.56
LM −2.14 −1.10 −0.41 0.00 0.05 0.69 1.10 2.14
L1 −1.59 −0.69 0.00 0.51 0.49 1.10 1.56 2.48
L2 −1.79 −0.69 0.00 0.41 0.41 1.10 1.61 2.56
VADER −1.25 0.00 0.26 0.86 0.88 1.42 1.98 2.94
Naive Bayes −1.20 −0.19 0.41 0.88 0.85 1.39 1.83 2.74
Max. entropy −1.39 −0.41 0.12 0.69 0.62 1.10 1.61 2.48
Deep-MLSA −1.95 −0.69 0.00 0.00 0.15 0.69 1.10 2.30
DeepMoji −1.10 0.00 0.58 1.10 1.06 1.61 2.08 3.00
Panel B: StockTwits
Q1% Q10% Q25% Median Mean Q75% Q90% Q99%
Harvard-IV −1.39 -0.69 0.00 0.00 0.24 0.69 1.10 1.79
LM −1.39 −0.69 0.00 0.00 0.02 0.00 0.69 1.39
L1 −1.39 −0.69 0.00 0.41 0.38 0.77 1.39 2.20
L2 −1.39 −0.69 0.00 0.29 0.32 0.69 1.25 2.20
VADER −1.10 −0.29 0.00 0.41 0.44 0.69 1.39 2.08
Naive Bayes −1.10 −0.69 0.00 0.69 0.59 1.10 1.39 2.30
Max. entropy −1.39 −0.69 0.00 0.69 0.49 1.10 1.39 2.20
Deep-MLSA −1.20 −0.59 0.00 0.00 0.06 0.00 0.69 1.39
DeepMoji −1.10 −0.69 0.13 0.69 0.63 1.10 1.61 2.40

Note: This table reports summary statistics for daily bullish sentiment constructed from Twitter (Panel A) and StockTwits (Panel B) data. More precisely, for each of the nine sentiment estimation approaches, the table reports the 1, 10, 25, 50, 75, 90, and 99%-quantiles as well as the mean daily bullish sentiment