Table 2

General value-relevance

Panel A: IFRS earnings
VariableAll firmsPositive earningsNegative earnings
BPS0.605***0.555***0.704***
 (0.003)(0.009)(<0.001)
EPS4.328***4.810***3.332
 (<0.001)(<0.001)(0.172)
NEG5.825***  
 (0.007)  
Fixed effects:   
- FirmYesYesYes
- YearYesYesYes
N20261727299
Within R225.4%25.0%13.2%
Panel B: Headline earnings
VariableAll firmsPositive earningsNegative earnings
BPS0.3610.2960.289***
 (0.131)(0.209)(0.004)
HEPS6.544***7.047***8.786***
 (<0.001)(<0.001)(0.003)
APS0.6580.7680.382
 (0.550)(0.480)(0.836)
NEG4.013*  
 (0.094)  
Fixed effects:   
- FirmYesYesYes
- YearYesYesYes
N20261727299
Within R231.6%30.8%53.1%
Panel C: relative value-relevance
DescriptionAll firmsPositive earningsNegative earnings
Vuong test between Panel A and Panel B as above−3.828***−3.665***−1.456
 (<0.001)(<0.001)(0.147)
Vuong test between Panel A and Panel B when the models only include EPS and HEPS (i.e. APS is omitted from the second model)−3.826***−3.655***−1.432
(<0.001)(<0.001)(0.153)

Note(s): The dependent variable for all models is p. Variables are defined in the  Appendix. For multivariate regression results, two-tailed p-values based on robust standard errors clustered by firm and year (Petersen, 2009; Cameron et al., 2011) are reported in brackets, with a correction where the covariance matrix is not positive semi-definite. ***, ** and * denote significance at the 1%, 5% and 10% levels respectively. The Vuong test (Vuong, 1989) is directional, so that a negative test statistic indicates that the second model is superior to the first

Source(s): Authors’ own work

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