Creation and Segmentation of the Euronext Stock Exchange and Listed Firms' Liquidity and Accounting Quality: Empirical Evidence



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Table 4 (continued)
The table shows the results from OLS regressions:

perc_zeroret (log_mn_bidask) = β0 + β1*Segment + β2*Post + β3*Post-Merger*Segment



(for models 1 and 4);
perc_zeroret (log_mn_bidask) = β0 + β1*Segment + β2*Post + β3*Post-Merger*Segment

+ Σβi*Control Variables (for model 2 and 5);
perc_zeroret (log_mn_bidask) = β01*Segment + β2*Post + β3*Post*Segment

+ β4* afterdrop_beforeadd + Σβi*Control Variables (for model 3 and 6); and
All variables are as defined in table 2 of the paper. The regressions include both country and industry fixed effects, and standard errors are clustered by firm.
*** indicates statistical significance at the 0.01 level, ** indicates statistical significance at the 0.05 level, and * indicates statistical significance at the 0.10 level (two-tailed test).

Table 5: Liquidity changes and compliance with segment requirements




(1)

(2)

(3)

(4)

(5)

(6)




Perc

_zeroret


Perc

_zeroret


Perc

_zeroret


log_mn

_bidask


log_mn

_bidask


log_mn

_bidask


Post-Merger

-0.047*

-0.033

-0.020

-0.114

-0.027

0.100




(1.84)

(1.26)

(0.79)

(1.35)

(0.32)

(1.22)

Compl5

-0.015**







-0.019










(2.55)







(0.94)







Post-Merger*Compl5

-0.002







-0.055**










(0.28)







(2.27)







Compl4




0.000







0.080***










(0.06)







(3.43)




Post-Merger*Compl4




-0.010







-0.094***










(1.35)







(3.45)




Qtrly




-0.068***

-0.060***




-0.358***

-0.342***







(4.75)

(4.02)




(7.00)

(6.40)

Post-Merger*Qtrly




0.029*

0.030*




0.081

0.112*







(1.86)

(1.81)




(1.29)

(1.74)

IFRS_USGAAP







0.038







-0.023










(1.64)







(0.15)

Post-Merger*IFRS_USGAAP







-0.098***







-0.392**










(3.84)







(2.47)

Auditor







-0.017







-0.039










(0.93)







(0.74)

Post-Merger*Auditor







0.030







0.089










(1.51)







(1.45)

English







0.002







0.094










(0.09)







(1.40)

Post-Merger*English







-0.033







-0.175**










(1.43)







(2.23)

Website







-0.010







0.172***










(0.63)







(3.25)

Post-Merger*Website







-0.014







-0.239***










(0.77)







(3.83)

Leverage

0.074***

0.079***

0.065***

0.390***

0.431***

0.366***




(3.15)

(3.36)

(2.81)

(4.00)

(4.43)

(3.95)

NI_Assets

-0.260***

-0.253***

-0.236***

-0.991***

-0.955***

-0.815***




(4.78)

(4.68)

(4.60)

(4.17)

(4.01)

(3.88)

#FExchanges

0.005

0.006

0.005

0.012

0.019

0.019




(0.84)

(1.00)

(0.92)

(0.41)

(0.63)

(0.67)

Sales Growth

-0.000

0.005

0.001

-0.105*

-0.069

-0.094




(0.03)

(0.46)

(0.11)

(1.82)

(1.19)

(1.62)

Size

-0.047***

-0.052***

-0.049***

-0.315***

-0.353***

-0.340***




(14.20)

(14.77)

(13.48)

(19.96)

(21.13)

(21.07)

USCROSSLISTED

-0.058*

-0.059*

-0.035

-0.498*

-0.494*

-0.275




(1.80)

(1.77)

(1.18)

(1.73)

(1.72)

(0.96)

ret_std

-4.822***

-4.503***

-5.010***

7.240***

9.421***

6.365***




(7.92)

(7.49)

(7.66)

(3.76)

(4.85)

(3.31)

Constant

0.592***

0.589***

0.603***

-2.626***

-2.629***

-2.515***




(15.15)

(15.08)

(15.34)

(19.45)

(19.38)

(18.89)






















Observations

1,317

1,317

1,317

1,317

1,317

1,317

Adjusted R-squared

0.26

0.27

0.29

0.52

0.55

0.59

(continues on next page)
Table 5 (continued)

The table shows the results from OLS regressions, run on the segment firms only:


perc_zeroret (log_mn_bidask) = β0 + β1*Post-Merger + β2*Compl5 + β3*Post-Merger*Compl5 + Σβi*Control Variables (for models 1 and 4);
perc_zeroret (log_mn_bidask) = β0 + β1*Post-Merger + β2*Compl4 + β3*Post-Merger*Compl4 4*Qtrly_dum + β5*Post-Merger*Qtrly_dum + Σβi*Control Variables (for models 2 and

5); and
perc_zeroret (log_mn_bidask) = β0 + β1*Post-Merger + Σβi*Individual_Compliance_Var



+ Σβj*Post-Merger*Individual_Compliance_Var + Σβk*Control Variables (for models 3 and 6).
The variables in these models are as defined in table 2.
*** indicates statistical significance at the 0.01 level, ** indicates statistical significance at the 0.05 level, and * indicates statistical significance at the 0.10 level (two-tailed test).


Table 6: Timely loss recognition results by pre-/post- merger and segment/non-segment partitions




(1)

(2)

(3)




(4)

(5)

(6)




(7)

(8)

(9)




NonSeg Firms

Segment Firms

Diff.

Seg/

NonSeg




NonSeg Firms

LowCompl Segment Firms

Diff.

NonSeg/

LowCompl




NonSeg Firms

HighCompl Segment Firms

Diff.

NonSeg/

HighCompl

Return

0.001

0.001







0.001

-0.002







0.001

0.002







(1.21)

(0.26)







(1.21)

(0.41)







(1.21)

(0.71)








































NegRet

0.005

0.010







0.005

0.028







0.005

0.001







(1.25)

(1.10)







(1.25)

(1.31)







(1.25)

(0.15)








































NegRet*Return

0.096***

0.127***







0.096***

0.189***







0.096***

0.084***







(7.73)

(6.12)







(7.73)

(4.83)







(7.73)

(3.33)








































Post-Merger

-0.003

-0.008







-0.003

-0.011







-0.003

-0.006







(0.88)

(1.28)







(0.88)

(0.81)







(0.88)

(0.95)








































Post-Merger*Return

0.001

0.006*







0.001

0.006







0.001

0.005







(0.47)

(1.85)







(0.47)

(0.82)







(0.47)

(1.61)








































Post-Merger*NegRet

-0.011*

0.002







-0.011*

-0.018







-0.011*

0.009







(1.70)

(0.13)







(1.70)

(0.68)







(1.70)

(0.67)








































Post-Merger*NegRet

0.032*

0.075***

0.044




0.032*

0.031

-0.001




0.032*

0.100***

0.069*

*Return

(1.71)

(2.64)

(1.35)




(1.71)

(0.59)

(0.02)




(1.71)

(2.80)

(1.74)





































Constant

0.036***

0.044***







0.036***

0.054***







0.036***

0.039***







(15.23)

(8.60)







(15.23)

(4.59)







(15.23)

(7.31)








































Observations

3,539

1,317







3,539

429







3,539

888




Adjusted R2

0.48

0.47







0.48

0.36







0.48

0.53




(continues on next page)

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