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Table 4 Regressions of price impact

From: Major government customer and management earnings forecasts

 

Whole sample

Subsamples

Model 1

Model 2

Negative surprise

Match

Positive surprise

Intercept

0.012

0.052*

−0.041

0.038

0.065*

(0.50)

(1.92)

(−1.24)

(1.15)

(1.65)

GOV

0.007

0.009

0.001

0.020*

−0.009

(0.95)

(1.39)

(0.06)

(1.76)

(−0.58)

Surprise

0.366***

0.376***

0.198***

1.130

0.044

(6.46)

(7.00)

(3.76)

(0.92)

(0.30)

GOV×Surprise

0.303**

0.290**

0.235*

0.616

0.324

(2.44)

(2.41)

(1.82)

(0.32)

(1.32)

BMR

0.033***

0.023**

0.054***

0.005

0.021

(2.99)

(2.06)

(3.93)

(0.24)

(1.16)

ROA

−0.050

−0.063*

−0.089*

0.093**

−0.074

(−1.39)

(−1.75)

(−1.88)

(2.09)

(−1.25)

SIZE

−0.000

−0.000

0.004

−0.007**

− 0.005

(−0.06)

(− 0.05)

(1.29)

(−2.18)

(−1.22)

RETVOL

−0.538*

−0.872***

−1.540***

0.029

0.388

(−1.95)

(−2.66)

(−4.27)

(0.06)

(0.85)

LOSS

−0.035***

−0.031***

− 0.020*

−0.024**

− 0.050***

(−4.08)

(−3.71)

(−1.84)

(−1.99)

(−2.82)

GROWTH

−0.014

−0.023*

− 0.023

−0.044*

0.042

(−1.10)

(−1.84)

(−0.99)

(− 1.93)

(1.59)

LEV

0.020

0.009

0.049**

0.019

−0.037*

(1.28)

(0.64)

(2.08)

(0.72)

(−1.69)

AGE

−0.002

−0.005

− 0.001

0.005

0.002

(−0.30)

(−0.96)

(− 0.09)

(0.72)

(0.36)

Industry FE

No

Yes

No

No

No

Year FE

No

Yes

No

No

No

Clustered error

Yes

Yes

Yes

Yes

Yes

No. of obs.

1149

1149

578

282

289

Adj. R2

0.051

0.067

0.084

0.031

0.036

  1. Notes: *p < 0.05, **p < 0.01, ***p < 0.001