Table 4

Results from Shannonian entropy

Positive ESG news sentimentNegative ESG news sentiment
TICKERTEStd.errEff.TETEStd.errEff.TE
1AGL0.0128***0.00190.00750.0075**0.00170.0027
2AMS0.00550.00160.00200.00300.00160.0000
3ANG0.0078**0.00180.00340.0075**0.00160.0025
4EXX0.0022**0.00180.00000.0043*0.00140.0008
5GFI0.0131***0.00160.00900.00670.00170.0020
6GLN0.0131***0.00160.00900.00390.00190.0000
7HAR0.0113***0.00180.00650.00340.00170.0000
8IMP0.00300.00150.00000.00240.00150.0000
9JSE0.0065**0.00150.00290.00010.00060.0000
10MUR0.00020.00090.00000.00020.00060.0000
11NED0.00460.00170.00070.00030.00080.0000
12NHM0.0092***0.00170.00560.00050.00100.0000
13RBP0.00160.00080.00110.00020.00070.0000
14REM0.0000***0.00000.00000.0000***0.00000.0000
15SAP0.00360.00170.00000.0000***0.00000.0000
16SBK0.00570.00190.00070.00370.00170.0000
17SHP0.0000***0.00000.00000.00680.00160.0027
18SSW0.00300.00040.00000.00580.00190.0005
19TBS0.0002**0.00070.00000.00410.00150.0000
20WBO0.0000***0.00000.00000.0000***0.00000.0000

Note(s): The table shows the transfer entropy from positive (negative) ESG news sentiment to stock returns. The direction of possible information flow is from ESG news sentiment to stock returns. Shannon transfer entropy is given in the TE column. Effective transfer entropy estimates can be found in the Eff.TE column. Standard errors and statistical significance are based on the bootstrap samples. The TE estimates are compared to the quantiles of the bootstrap samples to calculate p-values. *, ** and *** represent statistical significance at the 10, 5 and 1%, respectively

Source(s): Authors’ estimations

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