Table 2

Stock liquidity and the accrual anomaly

Panel A: The regression approach
Dependent variable: RETt+1
VariableCoeff.t-statCoeff.t-stat
MCt−0.015**−7.73−0.011**−4.67
B/Mt0.051**10.720.052**10.87
MOMt−0.037**−5.54−0.038**−5.63
D_NSt−0.026**−2.93−0.029**−3.19
NSt−0.096**−5.38−0.096**−5.38
dA/At−0.101**−5.61−0.100**−5.54
D_Y/Bt0.0171.820.0141.53
Y/B(+)t0.254**4.520.263**4.66
ACCt−0.196**−7.66−0.176**−7.28
LIQ_HLt  −0.016**−3.17
ACCt × LIQ_HLt  0.066**3.01
Year fixed effectsYesYes
Industry fixed effectsYesYes
N79,99479,994
R20.1210.121
Panel B: The sorts approach
Accruals (ACCt)Mean of equal-weighted ARETt+1t-stat
(MEWARET)
Liquidity (LIQ_HLt)Liquidity (LIQ_HLt)
L23HL23H
Low – accruals15.683.532.892.953.311.981.501.72
212.235.924.763.583.124.053.943.66
37.451.363.840.752.811.182.970.67
46.862.062.000.462.461.492.200.57
55.703.331.920.422.572.321.570.39
64.56−0.220.15−0.321.30−0.150.18−0.31
72.24−1.96−0.74−1.340.73−1.48−0.63−1.37
80.18−3.02−1.75−1.530.07−2.09−1.73−1.39
9−0.56−2.20−3.24−2.55−0.24−1.36−2.90−2.29
High – accruals−4.05−7.89−5.80−3.77−1.77−3.20−3.78−2.13
L−H19.7311.428.696.723.753.763.532.72
 Mean of Absolute MEWARETSD of Absolute MEWARET
 5.953.152.711.764.932.251.761.34
Panel C: The alpha approach
Accruals (ACCt)αpt-stat
Liquidity (LIQ_HLt)Liquidity (LIQ_HLt)
L23HL23H
Low – accruals1.680.670.490.216.644.103.621.83
21.300.650.490.435.033.844.664.79
31.060.380.410.284.972.984.944.12
40.850.300.330.214.153.143.572.79
50.810.400.280.203.943.702.912.81
60.480.250.140.062.382.121.610.87
70.430.140.05−0.042.281.180.55−0.42
80.360.00−0.05−0.091.720.03−0.50−0.88
90.19−0.10−0.29−0.180.86−0.66−2.77−1.74
High – accruals−0.19−0.66−0.54−0.31−0.61−3.51−3.98−2.14
αLαH1.871.331.030.524.675.345.372.81
 Mean of Absolute αpSD of Absolute αp
 0.730.360.310.200.500.240.180.12

Note(s): This table reports results from the regression, the sorts, and the alpha approaches to testing the effect of stock liquidity on the relation between accruals and future stock returns. Panel A reports results from the regression approach. The regression model extends the one used in Fama and French (2008) by including industry and year fixed effects, stock liquidity and the interaction term between stock liquidity and accruals. In Panel A, t-statistics are calculated by using cluster-robust standard errors clustered on firms. Panel B reports results from the sorts approach. ARETt+1 is the abnormal annual stock return that cumulates over a 12-month period starting from the fourth month after the end of fiscal year t. To compute ARETt+1 we follow the characteristic-based portfolio matching procedure proposed in Daniel et al. (1997) to adjust annual stock returns. MEWARET is the equal-weighted average of abnormal annual stock returns. Panel C reports results from the alpha approach. In Panel C, t-statistics are calculated by using standard errors adjusted for Newey–West autocorrelations of three lags

**, *, and † denote statistical significance at the 1%, 5%, and 10% levels, respectively, using a 2-tailed test

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