Table 5 Replace the explained variable.

From: Consequences of firm-specific stock price crashes on analyst forecasts: Evidence from China

 

(1)

 

FERROR_P

CRASH

−0.040***

 

(−3.638)

POST

−0.000

 

(−0.284)

CRASH*POST

−0.002**

 

(−2.433)

SIZE

−0.011***

 

(−2.976)

LEV

0.018***

 

(2.785)

ROA

−0.162***

 

(−3.224)

INBOARD

−0.017

 

(−1.524)

INDENP

−0.024

 

(−0.997)

SHRCR

0.000

 

(0.344)

INST

−0.003

 

(−1.049)

AUDITFEE

−0.001

 

(−0.591)

SOE

0.007**

 

(2.336)

COMMITTEE

−0.004

 

(−1.335)

BIG4

−0.001

 

(−0.155)

EXP

0.000

 

(0.461)

HORIZON

0.001***

 

(15.461)

SPECIFIC

−0.000

 

(−0.712)

TFOLLOWING

−0.000

 

(−1.642)

BSIZE

−0.000**

 

(−2.139)

TEAM

−0.000

 

(−1.588)

_cons

0.341***

 

(3.500)

N

56223.000

R2

0.664

Year

Yes

Match

Yes

  1. Table 5 shows the results of the robustness analysis with the substitution of explanatory variables. The sample covers the company-month-analyst data of non-missing values of all variables during the period 2001–2020. Robust t-statistics corrected for firm clustering are reported in parentheses. *, ** and *** indicate statistical significance at the 10%, 5% and 1% levels, respectively. All variables are defined in Appendix A.